Short Courses: Applications of Statistical Considerations in Health Economic Evaluations
ISPOR 13th Annual Meeting
1:00 - 5:00, May 4, 2008
Course Description:
This course will provide applications of statistical considerations in economic
analysis. Specific exercises will be conducted to illustrate affect of distributional assumptions, univariate
and multivariable analysis of costs, the effect of sample size & power calculations on economic evaluations
and point estimates for cost-effectiveness ratios. Participants are encouraged to have hands-on
experience and bring their laptops. STATA trial software will be distributed if not already installed and
used in this course. The publication “Economic Evaluation in Clinical Trials” (Oxford: OUP, 2007) is suggested as recommended reading for this course. The course, Statistical Considerations in Economic
Evaluations, is a strong prerequisite for this course.
Lectures (Updated, May 9, 2008)
Computer Programs and Data
Analysis of cost
- rchapter5.dta, Stata dataset
- glmdiagnostic.do, .do file that loads the program glmdiag: glmdiag evaluates the link and family for generalized linear models
- bsmultiv.do, bootstrap program custom written for rchapter5.dta. Users can modify the program for their own datasets
- bsmvpred.dta, bootstrapped dataset constructed by use of bsmultiv.do (contains 3000 bootstrapped replications)
Sampling uncertainty
- iprogs.do, immediate form programs for calculating confidence intervals for cost-effectiveness ratios, confidenceintervals for NMB , and the acceptability curve
- bsceaprogs.do, programs for using a bootstrapped dataset to estimate confidence intervals for cost-effectiveness ratios, confidenceintervals for NMB , and the acceptability curve
Sample size
- ssizeprg.do, programs for estimating sample size for cost-effectiveness analysis
- ceapowersimulator.do, program simulates trials for a given difference in cost, difference in effect, SEs of the difference in cost and effect, correlation of the difference in cost and effect, and alpha level and estimates power
Faculty:
- Jalpa Doshi, PhD, University of Pennsylvania
- Henry Glick, PhD, University of Pennsylvania
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