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Analyzing longitudinal binary data in clinical studies.
Li, Yihan; Feng, Dai; Sui, Yunxia; Li, Hong; Song, Yanna; Zhan, Tianyu; Cicconetti, Greg; Jin, Man; Wang, Hongwei; Chan, Ivan; Wang, Xin.
Afiliação
  • Li Y; Data and Statistical Sciences, AbbVie Inc., 1 North Waukegan Road, North Chicago, IL 60064, USA. Electronic address: yihan.li@abbvie.com.
  • Feng D; Data and Statistical Sciences, AbbVie Inc., 1 North Waukegan Road, North Chicago, IL 60064, USA.
  • Sui Y; Data and Statistical Sciences, AbbVie Inc., 1 North Waukegan Road, North Chicago, IL 60064, USA.
  • Li H; Data and Statistical Sciences, AbbVie Inc., 1 North Waukegan Road, North Chicago, IL 60064, USA.
  • Song Y; Data and Statistical Sciences, AbbVie Inc., 1 North Waukegan Road, North Chicago, IL 60064, USA.
  • Zhan T; Data and Statistical Sciences, AbbVie Inc., 1 North Waukegan Road, North Chicago, IL 60064, USA.
  • Cicconetti G; Data and Statistical Sciences, AbbVie Inc., 1 North Waukegan Road, North Chicago, IL 60064, USA.
  • Jin M; Data and Statistical Sciences, AbbVie Inc., 1 North Waukegan Road, North Chicago, IL 60064, USA.
  • Wang H; Data and Statistical Sciences, AbbVie Inc., 1 North Waukegan Road, North Chicago, IL 60064, USA.
  • Chan I; Data and Statistical Sciences, AbbVie Inc., 1 North Waukegan Road, North Chicago, IL 60064, USA; Global Biometrics and Data Sciences, Bristol Myers Squibb, 300 Connell Drive, Berkeley Heights, NJ 07922, USA.
  • Wang X; Data and Statistical Sciences, AbbVie Inc., 1 North Waukegan Road, North Chicago, IL 60064, USA; Global Biometrics and Data Sciences, Bristol Myers Squibb, 300 Connell Drive, Berkeley Heights, NJ 07922, USA.
Contemp Clin Trials ; 115: 106717, 2022 04.
Article em En | MEDLINE | ID: mdl-35240309
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Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Modelos Estatísticos Tipo de estudo: Clinical_trials / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Modelos Estatísticos Tipo de estudo: Clinical_trials / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article