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Optimal probability weights for estimating causal effects of time-varying treatments with marginal structural Cox models.
Santacatterina, Michele; García-Pareja, Celia; Bellocco, Rino; Sönnerborg, Anders; Ekström, Anna Mia; Bottai, Matteo.
Affiliation
  • Santacatterina M; Unit of Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • García-Pareja C; Unit of Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Bellocco R; Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
  • Sönnerborg A; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Ekström AM; Department of Medicine, Karolinska University Hospital, Stockholm, Sweden.
  • Bottai M; Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
Stat Med ; 38(10): 1891-1902, 2019 05 10.
Article in En | MEDLINE | ID: mdl-30592073
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Proportional Hazards Models / Substance Abuse, Intravenous Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: Stat Med Year: 2019 Document type: Article Affiliation country: Sweden Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Proportional Hazards Models / Substance Abuse, Intravenous Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: Stat Med Year: 2019 Document type: Article Affiliation country: Sweden Country of publication: United kingdom