Unit–Treatment Interaction and Its Practical Consequences

DOI10.1111/J.0006-341X.2000.00882.XzbMath1060.62609WikidataQ52074164 ScholiaQ52074164MaRDI QIDQ4670433

Gary L. Gadbury, Hari K. Iyer

Publication date: 22 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

heterogeneityadditivityclinical trialcounterfactualpotential response, subject-treatment interaction

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (5)

Individual treatment effects in randomized trials with binary outcomes. ⋮ The use of covariates and random effects in evaluating predictive biomarkers under a potential outcome framework ⋮ Treatment Benefit and Treatment Harm Rate to Characterize Heterogeneity in Treatment Effect ⋮ On Causal Inferences for Personalized Medicine: How Hidden Causal Assumptions Led to Erroneous Causal Claims About the D-Value ⋮ Treatment Heterogeneity and Individual Qualitative Interaction

Cites Work

• Equating test scores -- a maximum likelihood solution
• Some Covariance Models for Longitudinal Count Data with Overdispersion
• Statistics and Causal Inference
• Causality: Some Statistical Aspects
• Assessment of Individual and Population Bioequivalence Using the Probability That Bioavailabilities are Similar
• The Subject-by-Formulation Interaction as a Criterion of Interchangeability of Drugs
• Estimation of Parameters from Incomplete Data

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