Global rank tests for multiple, possibly censored, outcomes

DOI10.1111/BIOM.12475zbMath1390.62301OpenAlexW2255997205WikidataQ41943653 ScholiaQ41943653MaRDI QIDQ2827210

Ritesh Ramchandani, Dianne M. Finkelstein, David A. Schoenfeld

Publication date: 12 October 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4960007

zbMATH Keywords

ALSnonparametricrank-sumU-statisticmultiple endpointsglobal test

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01)

Related Items (2)

Semiparametric regression modeling of the global percentile outcome ⋮ Sample size formula for general win ratio analysis

Uses Software

• LBFGS-B
• Unnamed Item

Cites Work

• A weighted rank-sum procedure for comparing samples with multiple endpoints
• Some poset statistics
• Combining dependent tests with incomplete repeated measurements
• Asymptotic Statistics
• Coherence in Observational Studies
• A Limited Memory Algorithm for Bound Constrained Optimization
• A generalized Wilcoxon test for comparing arbitrarily singly-censored samples
• Adjusting O'Brien's Test to Control Type I Error for the Generalized Nonparametric Behrens–Fisher Problem

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