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Volumn 68, Issue 12, 2015, Pages 1406-1414

A simulation study of sample size demonstrated the importance of the number of events per variable to develop prediction models in clustered data

Author keywords

Clustered data; Events per variable; Logistic model; Multicenter study; Prediction model; Simulation study

Indexed keywords

ARTICLE; CALIBRATION; CORRELATION COEFFICIENT; HUMAN; OVARY CANCER; PRACTICE GUIDELINE; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; SAMPLE SIZE; SELECTION BIAS; SIMULATION; STATISTICAL ANALYSIS; CLINICAL TRIAL; CLUSTER ANALYSIS; COMPUTER SIMULATION; DECISION SUPPORT SYSTEM; FEMALE; INFORMATION PROCESSING; MULTICENTER STUDY; OVARIAN NEOPLASMS; REGRESSION ANALYSIS; STATISTICAL BIAS; STATISTICAL MODEL; STATISTICS; STATISTICS AND NUMERICAL DATA; VALIDATION STUDY;

EID: 84948711435     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2015.02.002     Document Type: Article
Times cited : (111)

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