A weighted estimating equation for linear regression with missing covariate data

Statistics in Medicine

Volumn 21, Issue 16, 2002, Pages 2421-2436

  Parzen, Michael ^a   Lipsitz, Stuart R ^b   Ibrahim, Joseph G ^c   Lipshultz, Steven ^d  

^a UNIVERSITY OF CHICAGO   (United States)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^c DANA FARBER CANCER INSTITUTE   (United States)

^d UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

Author keywords

Missing at random; Missing completely at random; Missing data mechanism

Indexed keywords

HEMOGLOBIN;

ARTICLE; ASSAY; CHILD; CONTROLLED STUDY; COVARIANCE; DATA ANALYSIS; FEVER; HEART DISEASE; HOSPITALIZATION; HUMAN; LINEAR REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MULTIVARIATE ANALYSIS; OBSERVATION; PROBABILITY; RESPIRATORY TRACT DISEASE; SIMULATION; STATISTICAL MODEL;

ADOLESCENT; CHILD; CHILD, PRESCHOOL; COMPUTER SIMULATION; FEVER; HEART DISEASES; HEMOGLOBINS; HUMANS; INFANT; LIKELIHOOD FUNCTIONS; LINEAR MODELS; MODELS, BIOLOGICAL; PATIENT ADMISSION; RESPIRATORY TRACT DISEASES;

EID: 0037199838     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1195     Document Type: Article

References (11)

1. Statistical Analysis with Missing Data
2. Does clinically unsuspected myocardial injury occur in children
3. Regression analysis with missing covariate data using estimating equations
4. Maximum likelihood from incomplete data via the EM algorithm
5. Incomplete data in generalized linear models
6. A conditional model for incomplete covariates in parametric regression models
7. Monte Carlo EM for missing covariates in parametric regression models
8. Estimation of regression coefficients when some regressors are not always observed
9. A weighted estimating equation for missing covariate data with properties similar to maximum likelihood
10. Monte Carlo EM for missing covariates in parametric regression models