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A Flexible Approach for Assessing Heterogeneity of Causal Treatment Effects on Patient Survival Using Large Datasets with Clustered Observations.
Hu, Liangyuan; Ji, Jiayi; Liu, Hao; Ennis, Ronald.
Affiliation
  • Hu L; Department of Biostatistics and Epidemiology, Rutgers University, New Brunswick, NJ 07102, USA.
  • Ji J; Department of Biostatistics and Epidemiology, Rutgers University, New Brunswick, NJ 07102, USA.
  • Liu H; Department of Biostatistics and Epidemiology, Rutgers University, New Brunswick, NJ 07102, USA.
  • Ennis R; Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ 07102, USA.
Int J Environ Res Public Health ; 19(22)2022 11 12.
Article in En | MEDLINE | ID: mdl-36429621
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design / Machine Learning Type of study: Clinical_trials / Prognostic_studies Limits: Humans Language: En Journal: Int J Environ Res Public Health Year: 2022 Type: Article Affiliation country: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design / Machine Learning Type of study: Clinical_trials / Prognostic_studies Limits: Humans Language: En Journal: Int J Environ Res Public Health Year: 2022 Type: Article Affiliation country: United States