Project Detail


Cost Benefit Analysis in Health

Partner(s): Joshua Graff Zivin - School of Public Health

A set of modules designed to give students an opportunity to experiment with cost benefit problems in the field of healthcare. The students will learn various statistical methods measuring quality of life, powering and sampling, collection and indirect cost data, discounting and sensitivity analysis. By working through the simulations modules students will learn the possibilities and pitfalls of these frequently used techniques.

Access: Protected
Status: Archived

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