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Volumn 21, Issue 4, 2002, Pages 561-570
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Prospective prediction in the presence of missing data
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Author keywords
Generalized linear models; Logistic regression; Measuring quality of health care; Missing values; Prediction; Risk adjusted mortality rate
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Indexed keywords
ALGORITHM;
ANALYTICAL ERROR;
ARTICLE;
COMPUTER SIMULATION;
CONTROLLED STUDY;
CORONARY ARTERY BYPASS SURGERY;
CORRELATION COEFFICIENT;
COVARIANCE;
DATA ANALYSIS;
DATA BASE;
HUMAN;
LOGISTIC REGRESSION ANALYSIS;
METHODOLOGY;
MORTALITY;
OUTCOMES RESEARCH;
PREDICTION;
PROSPECTIVE STUDY;
RANDOMIZATION;
STATISTICAL MODEL;
STATISTICAL PARAMETERS;
SURGICAL RISK;
COMPUTER SIMULATION;
CORONARY ARTERY BYPASS;
HUMANS;
LINEAR MODELS;
MALE;
MODELS, BIOLOGICAL;
NUMERICAL ANALYSIS, COMPUTER-ASSISTED;
PROGNOSIS;
UNITED STATES;
UNITED STATES DEPARTMENT OF VETERANS AFFAIRS;
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EID: 0037186444
PISSN: 02776715
EISSN: None
Source Type: Journal
DOI: 10.1002/sim.966 Document Type: Article |
Times cited : (7)
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References (13)
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