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[Risk of bias assessment: (7) Assessing Bias in Studies of Prognostic Factors].
Tang, S W; Zhang, Y; Tao, B L; Yang, Z R; Sun, F; Zhan, S Y.
Afiliação
  • Tang SW; Department of Epidemiology, Nanjing Medical University, Nanjing 211166, China.
  • Zhang Y; Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton L8S 4K1, CA.
  • Tao BL; Department of Epidemiology, Nanjing Medical University, Nanjing 211166, China.
  • Yang ZR; Primary Care Unit, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridgeshire CBl 8RN, UK.
  • Sun F; Center of Evidence-based Medicine, Peking University, Beijing 100191, China.
  • Zhan SY; Center of Evidence-based Medicine, Peking University, Beijing 100191, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 39(7): 1003-1008, 2018 Jul 10.
Article em Zh | MEDLINE | ID: mdl-30060320
ABSTRACT
This paper introduces the tools related to Quality In Prognosis Studies (QUIPS) to assess the risk of bias in studies of prognostic factors and the relevant points of assessment and to illustrate the application of QUIPS in published prognostic research. The QUIPS tool identified 6 important areas to consider when evaluating validity and bias in studies of prognostic factors including participation, attrition, measurement on prognostic factors, outcomes, confounding factors, statistical analysis and reporting. It also provided a new method for evaluation on bias in the areas of prognostic research.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prognóstico / Projetos de Pesquisa / Viés / Melhoria de Qualidade Idioma: Zh Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prognóstico / Projetos de Pesquisa / Viés / Melhoria de Qualidade Idioma: Zh Ano de publicação: 2018 Tipo de documento: Article