NONPARAMETRIC ANALYSIS OF COVARIANCE FOR HYPOTHESIS TESTING WITH LOGRANK AND WILCOXON SCORES AND SURVIVAL-RATE ESTIMATION IN A RANDOMIZED CLINICAL TRIAL

DOI10.1081/BIP-100101179zbMath0955.62114OpenAlexW2019929981WikidataQ77914044 ScholiaQ77914044MaRDI QIDQ4512721

Catherine M. Tangen, Gary G. Koch

Publication date: 27 February 2001

Published in: Journal of Biopharmaceutical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/bip-100101179

zbMATH Keywords

weighted least squaresrandom imbalance of covariablesvariance reduction from covariance adjustmentpopulation average difference in survival rates

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

Applications of Extensions of Bivariate Rank Sum Statistics to the Crossover Design to Compare Two Treatments Through Four Sequence Groups ⋮ Efficiency improvement in a class of survival models through model-free covariate incorporation ⋮ Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates ⋮ Robust methods to improve efficiency and reduce bias in estimating survival curves in randomized clinical trials

Uses Software

• SAS/STAT

Cites Work

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• Rank Analysis of Covariance with Right-Censored Data
• Nonparametric Estimation from Incomplete Observations
• A Review of Some Statistical Methods for Covariance Analysis of Categorical Data
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
• Some Surprising Results about Covariate Adjustment in Logistic Regression Models
• A General Methodology for the Analysis of Experiments with Repeated Measurement of Categorical Data
• Linear rank tests with right censored data
• COMPLEMENTARY NONPARAMETRIC ANALYSIS OF COVARIANCE FOR LOGISTIC REGRESSION IN A RANDOMIZED CLINICAL TRIAL SETTING
• A generalized Wilcoxon test for comparing arbitrarily singly-censored samples

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