Your browser doesn't support javascript.
loading
A likely responder approach for the analysis of randomized controlled trials.
Laska, Eugene; Siegel, Carole; Lin, Ziqiang.
Affiliation
  • Laska E; Department of Psychiatry, New York University Grossman School of Medicine, One Park Avenue, New York, NY 10016, USA; Department of Population Health, Division of Biostatistics, NYU Grossman School of Medicine, 180 Madison Avenue, New York, NY 10016, USA. Electronic address: eugene.laska@nyumc.org.
  • Siegel C; Department of Psychiatry, New York University Grossman School of Medicine, One Park Avenue, New York, NY 10016, USA; Department of Population Health, Division of Biostatistics, NYU Grossman School of Medicine, 180 Madison Avenue, New York, NY 10016, USA. Electronic address: carole.siegel@nyumc.org.
  • Lin Z; Department of Psychiatry, New York University Grossman School of Medicine, One Park Avenue, New York, NY 10016, USA. Electronic address: ziqiang.lin@nyumc.org.
Contemp Clin Trials ; 114: 106688, 2022 03.
Article in En | MEDLINE | ID: mdl-35085831
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design / Precision Medicine Type of study: Clinical_trials / Prognostic_studies Limits: Humans Language: En Journal: Contemp Clin Trials Journal subject: MEDICINA / TERAPEUTICA Year: 2022 Document type: Article Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design / Precision Medicine Type of study: Clinical_trials / Prognostic_studies Limits: Humans Language: En Journal: Contemp Clin Trials Journal subject: MEDICINA / TERAPEUTICA Year: 2022 Document type: Article Country of publication: