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Volumn 30, Issue 28, 2011, Pages 3328-3340
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Reweighting estimators for Cox regression with missing covariate data: Analysis of insulin resistance and risk of stroke in the Northern Manhattan Study
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Author keywords
Missing covariate; Proportional hazards model; Weighted estimating equation
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Indexed keywords
ARTICLE;
COMPARATIVE EFFECTIVENESS;
CONTROLLED STUDY;
CORRELATION COEFFICIENT;
DATA ANALYSIS;
FEMALE;
HUMAN;
INFORMATION PROCESSING;
INSULIN RESISTANCE;
INVERSE PROBABILITY WEIGHTING ESTIMATOR;
JACKKNIFE TEST;
KAPLAN MEIER METHOD;
LOGISTIC REGRESSION ANALYSIS;
MALE;
MATHEMATICAL ANALYSIS;
MATHEMATICAL COMPUTING;
MISSING COVARIATE DATA;
OBSERVER BIAS;
OUTCOME VARIABLE;
PREDICTIVE VALUE;
PREDICTOR VARIABLE;
PROBABILITY;
PROPORTIONAL HAZARDS MODEL;
REWEIGHED ESTIMATING EQUATION;
REWEIGHTING ESTIMATOR;
RISK ASSESSMENT;
SAMPLE SIZE;
SAMPLING ERROR;
SENSITIVITY ANALYSIS;
STATISTICAL ANALYSIS;
STROKE;
AGE FACTORS;
ALCOHOL DRINKING;
ALGORITHMS;
ANALYSIS OF VARIANCE;
COMPUTER SIMULATION;
FEMALE;
HUMANS;
INCIDENCE;
INSULIN RESISTANCE;
KAPLAN-MEIER ESTIMATE;
LIKELIHOOD FUNCTIONS;
LOGISTIC MODELS;
MALE;
NEW YORK CITY;
POPULATION GROUPS;
PROBABILITY;
PROPORTIONAL HAZARDS MODELS;
PROSPECTIVE STUDIES;
RISK ASSESSMENT;
RISK FACTORS;
SAMPLE SIZE;
SEX FACTORS;
SMOKING;
STROKE;
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EID: 81955164233
PISSN: 02776715
EISSN: 10970258
Source Type: Journal
DOI: 10.1002/sim.4380 Document Type: Article |
Times cited : (6)
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References (12)
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