Estimands

Chapman & Hall/CRC eBooks 2026 Book chapter

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Authors: Marian Mitroiu, Jessica Lee Rohmann, Tri‐Long Nguyen, Robert William Platt, Thomas P. A. Debray
DOI: 10.1201/9781003300809-6
Cited by: 0

Abstract

This chapter builds on the concepts introduced in Chapter 5 and outlines the challenges encountered when specifying estimands in practice. We introduce five attributes needed to clearly define an estimand: the treatment, the population, the (outcome) variable, the population-level summary, and the strategy to address intercurrent events. A precisely articulated question must guide the identification and estimation process for targeted treatment effects. Researchers should explicitly consider the relevance of the targeted causal parameters and their importance to all concerned healthcare stakeholders.

Fields of Study & Subjects

Advanced Causal Inference Techniques Statistical Methods in Clinical Trials Statistical Methods and Bayesian Inference

Publication details

Journal / source
Chapman & Hall/CRC eBooks
Pages
81–96
Publication date
11 March 2026
Language
EN
Document type
Book chapter