Bivariate binary data analysis with nonignorably missing outcomes

Biometrics

Volumn 56, Issue 4, 2000, Pages 1145-1156

  Paik, Myunghee Cho ^a   Sacco, Ralph ^a,b,c   Lin, I Feng ^a  

^a Columbia University ^*  (United States)

^b Taub Institute for Research on Alzheimer's Disease and the Aging Brain and the Gertrude H Sergievsky Center   (United States)

^c NONE   (United States)

Author keywords

Bivariate binary data; Nonignorable missingness

Indexed keywords

REGRESSION ANALYSIS;

BASELINE VALUES; BINARY DATA; BINARY REGRESSION MODEL; BIVARIATE; BIVARIATE BINARY DATA; COVARIATES; ISCHEMIC STROKES; MANHATTANS; NONIGNORABLE MISSINGNESS; WEIGHTING METHODS;

SENSITIVITY ANALYSIS;

ARTICLE; CEREBROVASCULAR ACCIDENT; COVARIANCE; DATA ANALYSIS; MAXIMUM LIKELIHOOD METHOD; OUTCOMES RESEARCH; PREVALENCE; STATISTICAL ANALYSIS; STATISTICAL MODEL; STROKE;

TURDUS;

EID: 0033636937     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.01145.x     Document Type: Article

References (25)

1. Regression analysis for categorical variables with outcome subject to nonresponse
2. Analysis of longitudinal binary data from multiphase sampling
3. Regression models for longitudinal binary responses with informative drop-outs
4. Multiple imputation in mixture models for nonignorable nonresponse with follow-ups
5. Missing data in longitudinal studies
6. Effect of dropouts in a longitudinal study: An application of a repeated ordinal model
7. Using the EM-algorithm for survival data with incomplete categorical covariates
8. Jackknife estimators of variance for parameter estimates from estimating equations with applications to clustered survival data
9. Modeling the drop-out mechanism in longitudinal studies
10. Intent-to-treat analysis for longitudinal studies with drop-outs
11. The analysis of longitudinal ordinal data with nonrandom drop-out
12. Inference from nonrandomly missing categorical data: An example from a genetic study on Turner's Syndrome
13. The generalized estimating equation approach when data are not missing completely at random
14. Correlated binary regression with covariates specific to each binary observation
15. Data analysis using hot deck multiple imputation
16. A mean score method for missing and auxiliary covariate data in regression models
17. Analysis of semiparametric regression models for repeated outcomes in the presence of missing data
18. Analysis of semiparametric regression models with non-ignorable nonresponse
19. Semiparametric regression for repeated outcomes with nonignorable nonresponse
20. Stroke incidence among whites, blacks and Hispanics from the same community of northern Manhattan
21. Adjusting for nonignorable drop-out using semiparametric nonresponse models
22. Estimation and comparison of changes in the presence of informative right censoring by modeling the censoring process
23. Multiple imputation methods for missing covariates problems in generalized estimating equation
24. Design and analysis of two stage studies
25. Regression analysis with missing covariate data using estimating equations