Causal Effects of Treatments for Informative Missing Data due to Progression/Death

DOI10.1198/JASA.2010.AP08739zbMath1390.62132OpenAlexW1967387569WikidataQ33819683 ScholiaQ33819683MaRDI QIDQ5255562

Daniel J. Sargent, Keunbaik Lee, Michael J. Daniels

Publication date: 16 June 2015

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3035160

zbMATH Keywords

sensitivity analysisordinal dataprincipal stratificationcancer clinical trialQOL

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Reliability and life testing (62N05)

Related Items (1)

Marginalized transition shared random effects models for longitudinal binary data with nonignorable dropout

This page was built for publication: Causal Effects of Treatments for Informative Missing Data due to Progression/Death