Absolute risk reductions and numbers needed to treat can be obtained from adjusted survival models for time-to-event outcomes

Journal of Clinical Epidemiology

Volumn 63, Issue 1, 2010, Pages 46-55

  Austin, Peter C ^a,b  

^a INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

Absolute risk reduction; Cox proportional hazards regression model; Measures of treatment effect; Numbers needed to treat; Observational study; Randomized controlled trial; Risk differences; Survival analysis

Indexed keywords

ARTICLE; ATTRIBUTABLE RISK; COHORT ANALYSIS; COVARIANCE; FOLLOW UP; HAZARD RATIO; HUMAN; OUTCOME ASSESSMENT; POPULATION DISTRIBUTION; PRIORITY JOURNAL; PROBABILITY; PROPORTIONAL HAZARDS MODEL; RISK REDUCTION; STATISTICAL ANALYSIS; STATISTICAL PARAMETERS; SURVIVAL RATE;

ADRENERGIC BETA-ANTAGONISTS; AGED; AGED, 80 AND OVER; FEMALE; HEART FAILURE; HUMANS; MALE; ONTARIO; PROPORTIONAL HAZARDS MODELS; RESEARCH DESIGN; RISK REDUCTION BEHAVIOR; SURVIVAL ANALYSIS; TREATMENT OUTCOME;

EID: 70649104793     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2009.03.012     Document Type: Article

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