Meta-analytical methods to identify who benefits most from treatments: Daft, deluded, or deft approach?

BMJ (Online)

Volumn 356, Issue , 2017, Pages

  Fisher, David J ^a   Carpenter, James R ^a,b   Morris, Tim P ^a   Freeman, Suzanne C ^a   Tierney, Jayne F ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE; DATA PROCESSING; EARLY SUPPORTED HOSPITAL DISCHARGE; HEALTH CARE; HOSPITAL DISCHARGE; HOSPITAL SERVICE; HUMAN; INDIVIDUAL PARTICIPANT DATA; KAPLAN MEIER METHOD; MEDICAL INFORMATICS; PATIENT CARE; RANDOM FOREST; REVIEW; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; SYSTEMATIC REVIEW (TOPIC); TREATMENT OUTCOME; LITERATURE; META ANALYSIS (TOPIC); METHODOLOGY;

HUMANS; META-ANALYSIS AS TOPIC; RESEARCH DESIGN; REVIEW LITERATURE AS TOPIC; TREATMENT OUTCOME;

EID: 85014756610     PISSN: 09598146     EISSN: 17561833     Source Type: Journal    
DOI: 10.1136/bmj.j573     Document Type: Review

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