Counterfactual Framework and Assumptions

[SAGE Publishing]

Shenyang Guo & Mark W. Fraser

“This chapter examines conceptual frameworks that guide the estimation of treatment effects as well as important assumptions that are embedded in observational studies”, and it is taken from Propensity Score Analysis which provides a systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems.

Read the free chapter: Counterfactual Framework and Assumptions

Find out more about Propensity Score Analysis

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