Overview

Overview

A three-day course focusing on the use of applied quantitative methods for the analysis of health care cost data. The course is run by the Health, Econometrics and Data Group (HEDG), a collaboration between the Centre for Health Economics and the Department of Economics and Related Studies at the University of York.

The course will provide an outline of applied health economics methods used to model health care costs relevant to the analysis of data obtained from administrative or observational sources. Topics to be covered will include:

• linear regression on levels of costs and on transformations of costs
• nonlinear models based on exponential conditional means
• generalized linear models and extended estimating equations
• more flexible parametric and semi-parametric estimators 

The comparative performance of the estimators will also be considered.  Throughout the course, computer-based practical exercises will be used to show how these methods can be applied to data using the statistical package Stata.

Objectives

The aim of the course is to introduce the main techniques used in applied health economics for the analysis of cost data, 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 health care costs data 
• select appropriate econometric models
• understand the different modelling approaches and be able to implement them, using appropriate software
• interpret the results of the analysis

Prerequisites

The course is aimed at PhD students and junior researchers or policy makers working in applied health economics.

The software package used for the practical examples is Stata and each participant will have access to a PC with Stata 11 installed. Stata do-files containing the code required to complete the practical exercises will be provided.  A basic familiarity with Stata will be an advantage. 

Data sources relevant to the practical exercises will be provided.

Course dates

Course dates

TBA

• EXEC/computer-training lab in the Alcuin research resource centre (ARRC)
• University of York

Programme

Programme

Day one

• registration
• introduction to cost data
• linear regression models and transformations

Day two

• nonlinear models based on exponential mean functions 
• generalized linear models and extended estimating equations 

Day three

• extentions to more flexible models for cost data
• recent developments

Presenters

Presenters

The course will be provided by members of the health, econometrics and data group

Registration

Registration

Form

Introductory course (PDF , 33kb)

Alternatively online registration will be available shortly from: http://www.york.ac.uk/res/herc/research/hedg/index.htm

Fees

Participation in the course is free of charge. Please note places for this course are limited to 30 participants. Limited funds will be made available to reimburse reasonable travel expenses.

Accommodation

A list of local accommodation in York will be provided.