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Comparison of methods for estimating the attributable risk in the context of survival analysis.
Gassama, Malamine; Bénichou, Jacques; Dartois, Laureen; Thiébaut, Anne C M.
Affiliation
  • Gassama M; Université Paris-Saclay, Biostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases (B2PHI), Inserm, UVSQ, Institut Pasteur, 25 rue du Dr. Roux, Paris Cedex 15, 75724, France.
  • Bénichou J; University of Rouen, Inserm, U 1219, 1 rue de Germont, Rouen Cedex, 76031, France.
  • Dartois L; Rouen University Hospital, Department of Biostatistics, 1 rue de Germont, Rouen Cedex, 76031, France.
  • Thiébaut AC; Université Paris-Saclay, CESP, Fac. de médecine - Univ. Paris-Sud, Fac. de médecine - UVSQ, INSERM, 114 rue Edouard Vaillant, Villejuif Cedex, 94805, France.
BMC Med Res Methodol ; 17(1): 10, 2017 01 23.
Article in En | MEDLINE | ID: mdl-28114895
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Risk Assessment / Models, Theoretical Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: BMC Med Res Methodol Journal subject: MEDICINA Year: 2017 Document type: Article Affiliation country: Country of publication:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Risk Assessment / Models, Theoretical Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: BMC Med Res Methodol Journal subject: MEDICINA Year: 2017 Document type: Article Affiliation country: Country of publication: