Relaxing the rule of ten events per variable in logistic and cox regression

American Journal of Epidemiology

Volumn 165, Issue 6, 2007, Pages 710-718

  Vittinghoff, Eric ^a   McCulloch, Charles E ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bias (epidemiology); Coverage probability; Event history analysis; Model adequacy; Type I error; Variable selection

Indexed keywords

EPIDEMIOLOGY; ERROR ANALYSIS; NUMERICAL MODEL; REGRESSION ANALYSIS; SAMPLING BIAS; SENSITIVITY ANALYSIS;

ANALYTICAL ERROR; ARTICLE; CONFIDENCE INTERVAL; LOGISTIC REGRESSION ANALYSIS; PREDICTION; PROBABILITY; PROPORTIONAL HAZARDS MODEL; SENSITIVITY ANALYSIS; SIMULATION; STATISTICAL ANALYSIS; SYSTEMATIC ERROR;

BIAS (EPIDEMIOLOGY); CASE-CONTROL STUDIES; CONFIDENCE INTERVALS; CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; FACTOR ANALYSIS, STATISTICAL; HUMANS; LOGISTIC MODELS; MULTIVARIATE ANALYSIS; PREDICTIVE VALUE OF TESTS; PREVALENCE; PROPORTIONAL HAZARDS MODELS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY;

EID: 33847382959     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwk052     Document Type: Article

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