Two-phase outcome-dependent studies for failure times and testing for effects of expensive covariates

DOI10.1007/s10985-016-9386-8zbMath1468.62390OpenAlexW2559407777WikidataQ39143809 ScholiaQ39143809MaRDI QIDQ1698940

Peng Zhang

Publication date: 16 February 2018

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-016-9386-8

zbMATH Keywords

missing datacohort sampling designsgeneralized linear transformation modelsgenetic association tests

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05) Missing data (62D10)

Related Items

Discussion of the paper by R. L. Prentice and Y. Huang: Optimal designs and efficient inference for biomarker studies ⋮ Score Tests With Incomplete Covariates and High-Dimensional Auxiliary Variables ⋮ Regularized regression for two phase failure time studies ⋮ Special issue dedicated to Jack Kalbfleisch ⋮ Optimal Designs of Two-Phase Studies ⋮ Robust Score Tests With Missing Data in Genomics Studies

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