The number of subjects per variable required in linear regression analyses

Journal of Clinical Epidemiology

Volumn 68, Issue 6, 2015, Pages 627-636

  Austin, Peter C ^a,b,c   Steyerberg, Ewout W ^d  

^a INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c Canada   (Canada)

^d ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

Bias; Explained variation; Linear regression; Monte Carlo simulations; Regression; Statistical methods

Indexed keywords

ACCURACY; AGED; ARTICLE; BLOOD PRESSURE; CONFIDENCE INTERVAL; CONSTANTS AND COEFFICIENTS; FEMALE; HEART RATE; HUMAN; INDEPENDENT VARIABLE; LINEAR REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MONTE CARLO METHOD; OUTCOME VARIABLE; PREDICTOR VARIABLE; PRIORITY JOURNAL; SIMULATION; STATISTICAL MODEL; SYSTOLIC BLOOD PRESSURE; VERY ELDERLY; EVALUATION STUDY; METHODOLOGY; REGRESSION ANALYSIS; SAMPLE SIZE; STATISTICAL BIAS;

BIAS (EPIDEMIOLOGY); LEAST-SQUARES ANALYSIS; LINEAR MODELS; MODELS, STATISTICAL; MONTE CARLO METHOD; RESEARCH DESIGN; SAMPLE SIZE;

EID: 84928929655     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2014.12.014     Document Type: Article

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