Noninferiority testing with censoring when the event rate is low.

Gallagher, Shannon K; Wang, Jing; Lumbard, Keith; Dodd, Lori E; Proschan, Michael

Gallagher, Shannon K; Wang, Jing; Lumbard, Keith; Dodd, Lori E; Proschan, Michael.

Afiliação

Gallagher SK; Biostatistics Research Branch, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, USA.
Wang J; Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Lumbard K; Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Dodd LE; Biostatistics Research Branch, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, USA.
Proschan M; Biostatistics Research Branch, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, USA.

Stat Med ; 41(25): 5102-5112, 2022 11 10.

Article em En | MEDLINE | ID: mdl-35995145

Assuntos

Probabilidade; Humanos; Simulação por Computador

Palavras-chave

<ns0:math> <semantics> <mrow> <mn>2</mn> </mrow> <annotation>$$ 2 $$</annotation> </semantics> </math> contingency tables; Kaplan-Meier estimates; Tuberculosis; exact tests; loss to follow-up; noninferiority

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Probabilidade Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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