Individual treatment effects in randomized trials with binary outcomes.

DOI10.1016/S0378-3758(03)00115-0zbMath1038.62100OpenAlexW1983843841MaRDI QIDQ1427505

Hari K. Iyer, Jeffrey M. Albert, Gary L. Gadbury

Publication date: 14 March 2004

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(03)00115-0

zbMATH Keywords

interactionContingency tablesClinical trialsPotential responseSubject-treatment

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Design of statistical experiments (62K99) Contingency tables (62H17)

Related Items

Sharp bounds on the variance in randomized experiments ⋮ Identification of subpopulations with distinct treatment benefit rate using the Bayesian tree ⋮ Treatment Benefit and Treatment Harm Rate to Characterize Heterogeneity in Treatment Effect

Cites Work

• Unit–Treatment Interaction and Its Practical Consequences
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