Adjusting win statistics for dependent censoring.

Dong, Gaohong; Huang, Bo; Wang, Duolao; Verbeeck, Johan; Wang, Jiuzhou; Hoaglin, David C

Dong, Gaohong; Huang, Bo; Wang, Duolao; Verbeeck, Johan; Wang, Jiuzhou; Hoaglin, David C.

Affiliation

Dong G; iStats Inc., Long Island City, New York, USA.
Huang B; Pfizer Inc., Groton, Connecticut, USA.
Wang D; Liverpool School of Tropical Medicine, Liverpool, UK.
Verbeeck J; DSI, I-Biostat, University Hasselt, Hasselt, Belgium.
Wang J; ImmunoGen Inc., Waltham, Massachusetts, USA.
Hoaglin DC; Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.

Pharm Stat ; 20(3): 440-450, 2021 05.

Article in En | MEDLINE | ID: mdl-33247544

Subject(s)

Research Design; Bias; Computer Simulation; Data Interpretation, Statistical; Humans; Probability

Key words

IPCW; Informative censoring; net benefit; win odds; win ratio

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Full text: 1 Database: MEDLINE Main subject: Research Design Type of study: Prognostic_studies Limits: Humans Language: En Journal: Pharm Stat Journal subject: FARMACOLOGIA Year: 2021 Type: Article Affiliation country: United States

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