PhD
March 22, 2010
Econometric Analysis of Healthcare Demand
Location: Geneva, Switzerland
Dates: March 22 to 26, 2010
Registration deadline: 6 March 2010
Venue: University of Geneva
Prof. Willard Manning (University of Chicago)
Dr. Eva Cantoni (University of Geneva)
Dr. Jean-Paul Chaze (University of Geneva)
Presentation:
Apart from providing an overview of the economic specificities of health care demand, the course will address econometric methods used for modelling different types of data on health care consumption, and provide examples drawn from real data for Switzerland or other countries.
Objectives:
The aims of the laboratory are:
To provide an overview of the economic aspects of health care demand
To present the econometric and statistical tools for the different types of data on health care consumption
To apply these methods to real datasets through computation-based exercises
Registration: Online until 6 March 2010
Course homepage: http://www.ssphplus.ch/phdcourses-hep
March 22, 2010: PhD , Short Course
March 24, 2010
Three PhD Scholarships in Economics and Management Science: University of Southern Denmark
Location: Odense
Closing date: 24 March, 2010 at 12 noon
Reference number: 351/577-105687
Job description:
The Research Unit of Health Economics at The University of Southern Denmark is advertising three PhD scholarships to be filled as soon as possible. The three positions are part of a research project entitled ‘Hospital of the Future’ funded by The Danish Strategic Research Council; the project also involves 3 post doctoral scholarships.
‘Hospital of the Future’
The project is concerned with development, adaption, and testing of methods from microeconomics and management science with the general aim of increasing hospital efficiency and effectiveness, for instance optimized patient pathways, capacity planning and utilization, and incentive schemes.
The project has three pillars, each consisting of a number of work packages, 1. Logistics and production planning; 2. Incentives; and 3. Productivity measurement and economies of scale and scope.
It is an important objective to test the methods in close collaboration with clinicians and professional hospital staff to maximize fit with and relevance for daily practice. See ‘Hospital of the Future’ at the web page http://www.healtheconomics.dk for a copy of the project description submitted to the Strategic Research Council.
It is the intention to have at least one PhD student and one post doc within each pillar who will collaborate with senior researchers.
Research environment
‘Hospital of the Future’ is a research consortium with researchers from the University of Southern Denmark, Danish Institute of Health Services Research and Copenhagen Business School. The research unit of health economics at University of Southern Denmark is the leading and largest group of health economists in Denmark with a good publication record. ‘Hospital of the Future’ will mainly be embedded in this vibrant environment and the department of Business and Economics. The research units house 12 researchers of which 6 are full professors. There are 10 PhD students. Go to ‘Hospitals of the Future’ at the web page http://www.healtheconomics.dk for CVs of senior researchers and for additional information.
PhD students and post docs will be part of a team for each of the above mentioned pillars. Each team is headed by an experienced senior researcher.
Requirements
The successful applicant for a PhD scholarship has demonstrated research potential as reflected by for instance the grades obtained and master’s thesis. Applicants are expected to have an educational background in economics or business economics/management science/operations research at a master’s level - e.g. normally the Danish or equivalent degrees: cand.oecon., cand.polit., cand.scient.oecon., cand.merc. or a degree in civil engineering. Information about the PhD programme at the Faculty of Social Sciences, University of Southern Denmark, can be found at: http://www.sdu.dk/sam/phduk.
The application must include a synopsis of 5-10 pages describing a research proposal related to one or more of the three project pillars. Dialogue with one of the below mentioned contact persons is possible. The proposal may be further elaborated during the first three months of employment.
Successful applicants must have a genuine interest in applied and policy oriented research within one or more of the work packages of the project apart from a sound theoretical background.
The institutional setting is the Danish hospital sector. Applicants not having such prior knowledge must acquire it early on to be able to do policy relevant research and to collaborate with hospital staff.
For non-Danes the successful applicant must acquire knowledge of Danish language, in particular reading skills, during the first year of the position.
PhD students are expected to participate actively in departmental activities and activities related to the overall project ‘Hospital of the Future’.
PhD projects must be completed in three years with Odense as place of employment.
For further information contact: professor Mickael Bech, phone: +45 6550 4234 +45 6550 4234, mbe@sam.sdu.dk or professor Niels Christian Petersen phone: +45 6550 3644 +45 6550 3644, ncp@sam.sdu.dk or professor Ole Olesen, phone: +456550 3254 +456550 3254, ole@sam.sdu.dk.
Read more:
Institute of Public Health
Application, salary, etc.:
Compensation
Employment as a Salaried PhD Research Fellow is governed by the agreement of 1 October 2008 on Graduate Employees in government appendix 5 - protocol on PhD Research Fellows. Annual starting salary level for new graduates is app. DKK 300,000 plus pension scheme.
The PhD scholarships can either be accomplished in terms of the so-called 5+3 model or the 4+4 model. Scholarships according to the 5+3 model can be given to applicants with a master’s degree and have a duration of 3 years. Scholarships according to the 4+4 model can be given to applicants, who have passed the 1st year of their master’s studies, and have a duration of 4 years.
As part of the PhD program the PhD student must complete an individual planned course program. The PhD student must also achieve teaching experience during the research education. The PhD student is expected to spend a certain period with a relevant foreign research institution, normally one semester. The research unit for health economics appoints a supervisor and possibly a co-supervisor.
Applicants for a PhD scholarship must fill in the application form available on our web page http://www.sdu.dk/sam/phduk under the section Application forms for enrolment. Here you also find guidelines for preparing your project proposal (synopsis). Furthermore, applicants under the 5+3 model should submit certified copy of Master’s degree certificate including examination results, CV, project description, information on teaching experience or other forms of knowledge communication and if relevant a list of publications.
With a view to promoting equal opportunities in academic positions, the Faculty encourages all interested persons are encouraged to apply, regardless of age, gender, religious affiliation or ethnic background.
Please send in 4 copies of the application including application form, curriculum vitae, project description (synopsis), academic diploma, list of publications if relevant and publications if any, marked “Position No. 351/577-105687” to the University of Southern Denmark, The Faculty of Social Sciences, Campusvej 55, DK-5230 Odense M, Denmark. The application must reach the University not later than March 24, 2010 at 12.00 noon.
Mark application Job ID 351/577-105687 and send it to:
Det Samfundsvidenskabelige Fakultetssekretariat
Syddansk Universitet
Campusvej 55
5230 Odense M
Regression Methods for Health Economic Evaluation
Location: York, UK
Dates: 24 - 26 March 2010; with optional half-day introduction to Stata 23th March
The Centre for Health Economics at the University of York is running a three-day course on Regression Methods for Health Economic Evaluation. The course is now in its third edition and it will be held from 24 - 26 March 2010 at the University of York.
The course is a mixture of taught modules and practical exercises. It is intended for people currently undertaking health economic evaluations within the pharmaceutical and medical device industries, consultancy, academia or the health service who wish to learn how to use regression methods to analyse individual patient-level cost, health outcome and cost-effectiveness data.
Participants are expected to have a basic familiarity with the concepts of cost-effectiveness analysis, descriptive statistics and regression methods.
The course will cover the use of regression methods for health economic evaluation of both randomised and non-randomised data. In particular, the course will focus on the use of regression methods to analyse different types of individual patient-level data. Detailed information about the topics covered can be found on the course’s webpage below.
Throughout the course computer-based practical exercises will be used to show how the methods can be applied in the statistical package Stata. A half day introduction to Stata and the commands that will be used on the course is available on 23rd March for those less familiar with the software.
Further details and booking information is available from http://www.york.ac.uk/inst/che/training/regression.htm
Limited campus accommodation is available on request. Please book early to avoid disappointment.
We hope that you will be interested in applying for the course or that you may know of others within your organisation who might be interested in attending.
April 19, 2010
Applied Welfare Analysis in Health
Location: Berne, Switzerland
Date: April 19 to 23, 2010
Registration: Online until 31 March 2010
Prof. Alistair McGuire (LSE), Dr. Mireia Jofre-Bonet (London City University)
Presentation:
Welfare economics concerns the means by which the desirability of different policy options can be judged, and provides the theoretical foundations for the economic evaluation techniques currently widely used in policy making. The aim of this module is to revise the subject of welfare economics and extend it to incorporate recent advances in this topic.
Objectives:
This course will provide an overview of the concepts that are essential for the understanding of the theoretical underpinnings of welfare economics. It will also show how the different approaches are applied empirically. By the end of the course, you will be familiar with what social welfare functions are and how welfare changes and the distributional implications associated to health care interventions are measured - including when there are no markets and/or prices for the goods and/or services involved. You will be able to apply and understand evaluation techniques such as cost-effectiveness and cost-utility analysis, cost-benefit analysis and establish when recommendations emerging from those analyses are associated with gains in the social welfare function. You will be acquainted with the different outcome measures as used in the health sector (Quality Adjusted Life Years, Disability Life Years, Health-Years Equivalents); the properties of the contingent valuation approach; the conjoint/stated preference analysis approach; and estimation approaches for the marginal social cost of funds. Finally, expected utility theory, decision theory, and optimal taxation will be examined in the light of cost-effectiveness analysis and welfare economics.
Registration:
Online until 31 March 2010, phdcourses.hep@unil.ch
Course homepage:
http://www.ssphplus.ch/phdcourses-hep
April 20, 2010
Methods for the analysis of panel data in health and health care:Hosted by the Health, Econometrics and Data Group (HEDG)
Location: York, UK
Dates: 20th-22nd April 2010
3 day computer-based course hosted by the Health, Econometrics and Data Group (HEDG), University of York, 20th-22nd April 2010
This is a three-day course focusing on the use of applied quantitative methods for the analysis of panel data encountered in health and health care. The course is run by the Health, Econometrics and Data Group, a collaboration between the Centre for Health Economics and the Department of Economics and Related Studies at the University of York.
The course is aimed at PhD students and junior researchers or policy makers working in applied health economics.
The course will explain applied health economics methods relevant to the analysis of panel data obtained from administrative or observational sources. Topics to be covered will include an introduction to panel data techniques including linear models and fixed and random effects; instrumental variables; non-linear panel data models; dynamic models; discrete-time duration models. Throughout the course, computer-based practical exercises will be used to show how these methods can be applied using the statistical package Stata.
The aims of the course are to introduce young professionals to the main techniques used in applied health economics, and to provide practical experience with the application of such techniques. By the end of the course, participants should be able to:
- formulate empirical problems involving longitudinal micro-data on health and health care
- select appropriate econometric methods
- understand methods of estimation and be able to implement them, using appropriate software
- interpret the results of the analysis
Course content
The course will cover topics relevant to the analysis of health and health care data. Sessions will be split between lectures and computer-based practicals.
The course will be held in the EXEC/computer-training lab in the Alcuin Research Resource Centre (ARRC: http://www.york.ac.uk/inst/arrc/). The software package used for the practical examples is Stata and each participant will have access to a PC with Stata 10 installed. Stata do-files containing the code required to complete the practical exercises will be provided. A basic familiarisation with Stata will be an advantage. Further information on Stata can be found at: http://www/stata.com/
Data sources relevant to the practical exercises will be provided.
The programme
The course will be provided by members of HEDG: Andrew Jones, Nigel Rice, Silvana Robone, Pedro Rosa-Dias and Eugenio Zucchelli.
Online registration will be available shortly: http://www.york.ac.uk/res/herc/research/hedg/index.htm
The Health, Econometrics and Data Group is supported by funding from the Economic and Social Research Council under the grant RES-060-25-0045.
July 1, 2010
Interdisciplinary Postgraduate Training in Mental Health Policy and Economics Research
Location: online
Date: July 2010
Final Prgram is available at http://www.icmpe.org/
The Training is sponsored by the Section on Mental Health Economics of the World Psychiatric Association.
The entire Training will be conducted through the website http://www.icmpe.org/
The Training material and the related references, are available to the Participants through password on the ICMPE website upon registration. It will enable participants to receive substantial information prior of the interactive events to be held at http://www.icmpe.org/ in July 2010.
The Training is comprised of the following courses:
MAPPING OF MENTAL HEALTH RESOURCES WITHIN COUNTRIES Shekhar Saxena M.D., Co-ordinator of the Team Mental Health: Evidence and Research at World Health Organization, Geneva, Switzerland
MENTAL HEALTH POLICY, SERVICES AND EVALUATION RESEARCH Howard H. Goldman MD, Ph.D., Professor of Psychiatry, University of Maryland School of Medicine, Baltimore, USA
ECONOMIC EVALUATION FOR HEALTH CARE DECISION MAKING Michael Drummond Ph.D., Professor of Health Economics, Centre for Health Economics, University of York, UK
MENTAL HEALTH FINANCING POLICY AND OUTCOMES ANALYSIS Teh-wei Hu Ph.D., Professor in Graduate School, Professor Emeritus of Health Economics, University of California, Berkeley, California, USA
ECONOMIC EVALUATION FOR MENTAL HEALTH INTERVENTIONS Martin Knapp Ph.D., Professor of Health Economics, Centre for the Economics of Mental Health, Institute of Psychiatry, King’s College London; and Professor of Social Policy, LSE Health & Social Care, London School of Economics, London UK
July 1, 2010: Postgraduate/Non-Degree
July 7, 2010
Topics in Microeconometrics with Professor William Greenestern from the School Of Business, New York University: University of Queensland
Location: Brisbane Australia
Dates: 7th, 8th, 9th July 2010
Early-bird registration: prior to 1st June, 2010
Course Outline
This is a course in econometric analysis of cross section and panel data that will be useful to anyone in the general area ofapplied microeconometrics, including health and laboreconomists. There are a huge variety of models that are used in this context. We will focus on five which arguablycomprise the foundation for the area: the linear regression model, the fundamental model of binary choice (and a number of variants); models for ordered choices; the multinomial logit model. The cross sectional case will be extended to the panel data case for some of these models. In addition, some attention will be paid to modeling parameterheterogeneity.
Prior knowledge is assumed to include calculus at the level assumed in the first year of a Ph.D program in economics and a course in econometrics at the beginning Ph.D level using a textbook such as; Greene, W.H. Econometric Analysis, 6th edition.
About the Presenter
William Greene is the Toyota Motor Corp. Professor of Economics at the Stern School of Business, New York University. He received his Ph.D. in Econometrics at the University of Wisconsin in 1976. His fields of study are econometrics, health economics, transportation, and the entertainment and media industries. He has authored numerous articles on econometric theory and applications, the textbook Econometric Analysis, and the software packages NLOGIT and LIMDEP. He has consulted to numerous universities, government agencies including the National Science Foundation, and businesses including American Express Corp. and ASCAP, the American Society of Composers, Authors and Publishers. In addition to NYU, he has affiliations with York University, Monash University and the Institute for Transport and Logistics at Sydney University.
For more details of the course outline see: http://pages.stern.nyu.edu/wgreene/Queensland2010.htm
Registration
Non students: Early-bird* $1000; Ordinary $1200
Fulltime students: Early-bird* $500: Ordinary $600
Registration includes course tuition, notes, morning/afternoon tea and GST. Lunch is not included.
*Early-bird registration is prior to 1st June, 2010
Please register with Louise West louise.west@uq.edu.au
Course Dates
Wednesday 7th July 2010 Thursday 8th July 2010 Friday 9th July 2010
For further information, please contact Grace Lordan at g.lordan@uq.edu.au
July 19, 2010
A Problem Based Introduction to Mental Health Services Research A Social Sciences and Medicine Allied in Research and Teaching (SMART) Workshop
Location: Toronto, Ontario Canada
Dates: July 19 - 23, 2010
Registration deadline: May 14, 2010
This 5-day workshop is designed for clinicians and researchers interested in a problem based introduction to mental health services research.
Participants will learn how to develop a mental health services research project through a mix of lectures and small group exercises and projects.
The curriculum for this unique workshop was developed over a 2 year period to provide an innovative introduction to mental health services research.
It uses an integrated and interactive teaching approach in which faculty work with learners to immediately apply what is being taught.
The Workshop faculty are members of the University of Toronto’s SMART Program which is comprised of international researchers and clinicians who are expert teachers. The mission of the SMART Program is to promote research and teaching excellence through the collaboration and integration of clinicians and researchers.
Program
Each morning begins with a presentation by one of the SMART faculty supplemented by small group exercises. Topics to be covered include the key elements of health services research, needs assessment, creating a framework for evaluation and planning, the contribution of health economics to health services research and steps to communicating research results to decision makers.
In the afternoons, learners work collaboratively on group projects designed to give them the opportunity to master the material presented in the classroom, applying what they are learning in real life settings. Learners will be assigned to groups based on their interests. Each group will be linked to one of five different mental health programs such as Assertive Community Treatment, Early Intervention, Collaborative Care, Inpatient Services and Geriatric Outreach. A clinical and research faculty advisor will be assigned to each group. During the week, groups will work with their advisors to develop a proposal for a mental health services research project.
Location
The workshop will be held at the University of Toronto in Toronto, Ontario Canada.
Dates
July 19 - 23, 2010
Registration Costs
Early registration until April 2, 2010: $1,000 (CDN)
Registration after April 2, 2010: $2,000 (CDN)
Registration costs include course materials and breakfast and lunch during the workshop.
Registration Deadline
May 14, 2010
Contact
Carolyn S. Dewa, MPH, PhD (SMART Program Head) University of Toronto, Department of Psychiatry carolyn_dewa@camh.net
July 28, 2010
Advanced Modelling Methods for Health Economic Evaluation (3-day Workshop)
Location: Bangkok, Thailand
Dates: 28-30 July 2010
This 3-day modeling course is to be held in the Millennium Hilton Hotel in Bangkok, Thailand.
The short course has run over a period of 7 years as a successful collaboration between the Universities of York and Glasgow in the UK, and McMaster University in Canada. The Bangkok course will also involve researchers from the Health Intervention and Technology Assessment Program (HITAP) in Thailand.
The teaching faculty for the modeling course will be:
- Mark Sculpher (University of York, UK)
- Andrew Briggs (University of Glasgow, UK)
- Elisabeth Fenwick (University of Glasgow, UK)
- Ron Goeree (McMaster University, Canada)
Tutoring will also be provided by researchers at HITAP.
This is an advanced course focusing specifically on decision modelling and intended for people currently undertaking modelling for health economic evaluation within the pharmaceutical and medical device industries, consultancy, academia or the health service. It is also appropriate for those reviewing or preparing economic evaluation evidence for public health authorities.
By the end of the course participants will be expected to:
- Develop and populate a decision model
- Populate a Markov model with and without time-dependent probabilities
- Undertake probabilistic sensitivity analysis (PSA) to reflect parameter uncertainty
- Present the results of a PSA using net monetary benefits and cost-effectiveness acceptability curves
- Assess expected value of perfect information.
- Model developed in Microsoft Excel and in Treeage
- Gather experience relating to the use of economic evaluation in public policy decisions
The course will provide an introduction to decision models including decision trees and standard Markov models. Greater sophistication will be added as building blocks over the 3-day workshop.The course involves a mixture of lectures and computer based exercises. Participants will need to bring their own laptop computers for the exercises.
Participants are expected to have attended a general advanced course in economic evaluation or be comfortable with the contents of “Methods for the Economic Evaluation of Health Care Programs” by Drummond et al (Oxford University Press, 2005).
As an addition to the main teaching modules on modeling, we will have sessions at the end of Days 2 and 3 on the use of HTA in decision making. On Day 2 the focus will be on the use of model-based economic evaluation to inform policy decisions about the adoption of health technology. On the final day a session will consider the use of systematic reviews in HTA. HITAP will be leading these sessions: Dr.Yot Teerawattananon (program leader of HITAP), Dr. Sripen Tantivess (senior researcher of HITAP) and Miss Jomkwan Yothasamut (researcher).
Cost of the 3-day workshop:
PRIOR to March 1, 2010: Public/Academic Sector: $2,000 (Canadian dollars) Commercial Sector:$2,500 (Canadian dollars)
AFTER March 1, 2010: Public/Academic Sector: $2,500 (Canadian dollars) Commercial Sector:$3,000 (Canadian dollars)
If you would like more information or would like to register for the course in Toronto please contact Christine Henderson hendersc@mcmaster.ca.
To find more details about the Bangkok course and to register go to http://www.path-hta.ca/workshop.htm
A version of this course is also being run at:
- University of York (29-31 March 2010) (see http://www.york.ac.uk/inst/che/training/modelling.htm)
- University of Glasgow (15-17 September 2010) http://www.gla.ac.uk/departments/healtheconomicappraisalsteam/
August 4, 2010
Systematic Review and Meta-analysis of Direct, Indirect and Mixed Treatment Evidence: University of Glasgow
Location: Glasgow, UK
Dates: 4th-6th August 2010,
The Health Economics Appraisals Team (HEAT) at the University of Glasgow are pleased to announce a three day course on conducting systematic reviews and meta-analyses.
Through a series of lectures and hands-on workshops (using Stata and WinBUGS), this course will cover the principles and practice of conducting a systematic review and meta-analysis of a variety of measures of treatment effects. In addition, participants will learn the important aspects of network meta-analysis, going beyond traditional pairwise techniques when comparing multiple treatment options.
The course is suitable for clinicians, health service researchers and other healthcare professionals who are involved in systematic reviews and meta-analyses as a piece of independent work or an integral part of a health technology assessment.
Participants should have knowledge of basic medical statistics. A basic appreciation of research design would be helpful, as would basic knowledge of Stata and WinBUGS. A half day introduction to Stata is available on 3 August for those less familiar with the software.
More information can be found on the course webpage see http://www.gla.ac.uk/departments/healtheconomicappraisalsteam/
Further details and booking information are available from the HEAT administrator: heat@clinmed.gla.ac.uk
August 9, 2010
HRH Labor Markets Course: Analyze & Plan Human Resources for Health
Location: Berkeley, California USA
Venue: University of California, Berkeley
Dates: August 9 - 13, 2010
Application deadline: April 15,
2010
This course will teach economic models and tools used to estimate workforce needs, demand, and supply. The course will provide an overview of key topical areas centered on increasing productivity, including skill mix, distribution, and incentives. It will analyze HRH policies that have strengthened health systems, such as improving health worker effectiveness, increasing re cruitment and retention, and reducing urban-rural imbalances.
Who should attend: This course is designed for managers, planners, and analysts who work in the human resources in health field within organizations such as Ministries of Health, health care facilities, aid organizations, and academic institutions, particularly those from low or middle income countries. The principles taught in the course will be applicable to all countries, but the case studies will focus on low-income countries. The case studies will include quantitative exercises, such as analyzing data.
Format and language: The format will be a combination of lectures and formal instruction, and group projects. Specifically, lectures will occur each morning, and afternoon small-group projects will apply the tools learned in the lectures. The course will be taught in English.
Curriculum
Day 1: Health workers and labor market principles. How do health workers function within a health system? How are health workers defined (e.g., education, skills)? What factors affect the labor force supply and demand, and how are wages determined?
Day 2: Workforce need, demand, and supply. What methods are used to estimate health workforce need and demand? How is workforce supply forecasted? How can skill mix changes reduce forecasted shortages? How is inequality measured? What are the key health worker data sources?
Day 3: Incentives. How do you recruit and retain health workers? What factors affect equity and distribution, and how can you influence them? How do you recruit workers to rural areas? What incentives have been deployed and to what effect?
Day 4: Financing. How do financing choices affect the health workforce? What are the different types of healthcare financing systems that exist, and what are the advantages and disadvantages of each? How do countries vary with respect to public, private, insurance, and out of pocket payments?
Day 5: Policy evaluation. How do you include an evaluation component within a policy design, for example, to test the effect of incentives? How do economists and policy-makers work together, and what are examples of how they have worked together in your home country? How do global health initiatives such as the United Nations Millennium Development Goals affect workforce planning?
Instructors:
Timothy T. Brown, PhD, University of California, Berkeley
Mario R. Dal Poz, MD, PhD, MSc, World Health Organization
Brent D. Fulton, PhD, MBA, University of California, Berkeley
Thomas L. Hall, MD, DrPH, University of California, San Francisco School of Medicine
Audrey LaPorte, PhD, University of Toronto
Alexander S. Preker, MD, PhD, The World Bank
Richard M. Scheffler, PhD, University of California, Berkeley
Agnes Soucat, MD, MPH, Ph.D, The World Bank
Joanne Spetz, PhD, University of California, San Francisco School of Nursing
Kate Tulenko, MD, MPH, MPhil, IntraHealth, CapacityPlus
Marko Vujicic, PhD, The World Bank
Logistics and Details
When: August 9-13, 2010
Location: Berkeley, California. Applicants are expected to stay at the Berkeley City Club, where the course will be held along with breakfast and lunch. Berkeley City Club, 2315 Durant Ave, Berkeley, CA 94704, +1-510-848-7800, guestservices@berkeleycityclub.com
Course fee: $3,200 includes breakfast and lunch, one dinner, and course materials.
Application: Individuals who are interested in admission to the course need to submit an application and curriculum vitae by April 15, 2010. Application can be found at: http://ghwen.org/training/hrh/register
Visas: Applicants are responsible to obtain a visa.
This course is being sponsored by The Global Health Workforce Economics Network (GHWEN), housed in the University of California-Berkeley, the World Bank, and the World Health Organization. The objective of the GHWEN is to promote collaboration in health workforce economics research, with an emphasis on developing evidence for actionable policy-making.
Contact:
Amy Nuttbrock, Course Coordinator
Email: amynuttbrock@berkeley.edu
Telephone: +1-510-643-4100
Facsimile: +1-510-643-4281
Brent D. Fulton, Ph.D., Academic Coordinator
Email: fultonb@berkeley.edu
Telephone: +1-510-643-4102
September 1, 2010
PhD in Economics: Economics Department at IUPUI
Location: Indiana, USA
Start date: Fall 2010
The Economics Department at IUPUI is pleased to announce a new PhD in Economics. We will be accepting our first entering PhD class for Fall of 2010. Fellowship support will be offered on a competitive basis.
The program will specialize in Health Economics. Students will begin with PhD core training in economic theory and econometrics, emphasizing microeconomic theory and microeconometrics. Specializing in health economics will allow us to offer a two-course field sequence in health economics as well as a course focusing on the institutional context of health, health care, and health insurance. Importantly, students will also take elective courses such as biostatistics, epidemiology, bioethics, or health policy, giving them a background that will facilitate working in the interdisciplinary teams with whom health economists often interact. In addition to econometric theory, we will also offer a year-long empirical econometrics sequence, emphasizing statistical packages, working with large datasets, and problems in applied econometrics. We plan strong disciplinary training in micro theory, econometrics, and health economics enhanced with exposure to other related disciplines central to health and health care.
More information on the department and the program is online at http://liberalarts.iupui.edu/~econ. Questions can be emailed to econphd@iupui.edu.
September 15, 2010
Advanced Modelling Methods for Health Economic Evaluation A Computer Based Course
Location: Glasgow and York, UK
Dates: York: March 29 - 31, 2010; Glasgow: September 2010 (dates to be confirmed)
The Public Health & Health Policy Section at the University of Glasgow and the Centre for Health Economics at the University of York are jointly running three-day courses on advanced modelling methods to be held at venues in Glasgow and York. The next course will be held in 2010, the course will be run at the University of York from 29th - 31st March 2010. Booking forms are online now. The course will be also run in Glasgow in September 2010. Dates to be confirmed. Please contact The Public Health & Health Policy Section at the University of Glasgow directly if you would like to attend the September 2010 course.
This is an advanced course focusing specifically on decision modelling and intended for people currently undertaking modelling for health economic evaluation within the pharmaceutical and medical device industries, consultancy, academia or the health service. Participants would be expected to have attended an advanced course in economic evaluation such as the Expert Workshops in the Socio Economic Evaluation of Medicines run by the University of York.
Further details and booking information is available from the following links York based course or Glasgow based course.
September 15, 2010: Short Course
September 20, 2010
Indirect And Mixed Treatment Comparisons: 3-day course
Location: Leicester, UK
Venue: Vaughan College
Dates: September 20-22 2010
Overview
This course is for health economists, statisticians and decision modellers, and systematic reviewers interested in the extension of pair-wise meta-analysis to indirect and mixed treatment comparisons, in the context of either clinical effectiveness or economic evaluation.
The course focuses on Bayesian methods for statistically combining evidence from networks of trials, integrating statistical estimation within a probabilistic modeling framework. The assumptions underlying both pair-wise meta-analysis and mixed treatment comparisons are critically examined. The course also covers methods for detecting and managing heterogeneity and inconsistency.
This is an informal, hands-on course, based on a mixture of lectures and practical work on published datasets using the Bayesian Markov chain Monte Carlo package WinBUGS. Course tutors are available throughout to answer questions and help with exercises.
It is a collaboration between the Department of Health Sciences, University of Leicester and the Department of Community Based Medicine, University of Bristol.
Intended Audience
- Anyone undertaking or managing health technology assessments, including in the context of cost-effectiveness analysis,
- Statisticians, familiar with the principles of meta-analysis, who wish to learn about Bayesian methods for evidence synthesis particularly in the context of cost-effectiveness analysis,
- Anyone responsible for managing systematic reviews.
Course Faculty
Prof Keith Abrams,
Prof Tony Ades,
Debbi Caldwell,
Nicola Cooper,
Sofia
Dias,
Prof Alex Sutton and Nicky Welton
Course Pre-Requisites
Participants should be familiar with the basic principles of meta-analysis, and have a good working knowledge of logistic regression and statistical interaction. Experience with probabilistic decision analysis in cost effectiveness analysis would be an advantage, but is not necessary.
Further Details and Registration Forms from:
http://www.bristol.ac.uk/cobm/research/mpes
September 20, 2010: Short Course
April 9, 2011
Global Health Leadership Forum: An international executive short course: successful approaches and innovation in health policy and management.
Location: Part 1 Barcelona, Spain; Part 2 San Francisco, California
Dates:
Part 1 July 18-23, 2010
Part 2 April 9-13, 2011 San Francisco Bay Area with optional extended Kaiser Permanente Study Tour through April 15.
The Global Health Leadership Forum: An international earned certificate course on solutions in health policy and management.
An offering from the University of California, Berkeley, the Barcelona Graduate School of Economics and the Center for Research in Health Economics, Universitat Pompeu Fabra.
The University of California, Berkeley, Barcelona GSE and UPF CRES announce the seventh annual cycle of the Global Health Leadership Forum. This unique certificate program focuses on key health policy and management issues which have been converging internationally. Participating leaders learn about policies and implementation approaches that work and about current innovations. Participants join in small group discussions with global experts, receive leadership training, and become part of the GHLF alumni network of 180 past participants. These leaders hail from 43 countries in a wide variety of occupations such as executives of service delivery, insurance and pharma organizations; professors; ministers of health; and NGO leaders. For more information, visit the website: http://ghlf.berkeley.edu