An imputation approach for a time-to-event analysis subject to missing outcomes due to noncoverage in disease registries.

Shih, Joanna H; Albert, Paul S; Fine, Jason; Liu, Danping

Shih, Joanna H; Albert, Paul S; Fine, Jason; Liu, Danping.

Afiliação

Shih JH; Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, USA.
Albert PS; Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, USA.
Fine J; Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, USA.
Liu D; Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, USA.

Biostatistics ; 2022 Dec 19.

Article em En | MEDLINE | ID: mdl-36534828

Palavras-chave

Disease registry; Missing outcome; Moverstayer model; Self-reported failure time; Working imputation model

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article