Generalized estimating equation model for binary outcomes with missing covariates.
about
Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models.Analysis of partially observed clustered data using generalized estimating equations and multiple imputation.Marginal regression models with a time to event outcome and discrete multiple source predictors.Semiparametric regression models for repeated measures of mortal cohorts with non-monotone missing outcomes and time-dependent covariatesEstimation in closed capture-recapture models when covariates are missing at random.
P2860
Generalized estimating equation model for binary outcomes with missing covariates.
description
1997 nî lūn-bûn
@nan
1997年の論文
@ja
1997年学术文章
@wuu
1997年学术文章
@zh-cn
1997年学术文章
@zh-hans
1997年学术文章
@zh-my
1997年学术文章
@zh-sg
1997年學術文章
@yue
1997年學術文章
@zh
1997年學術文章
@zh-hant
name
Generalized estimating equation model for binary outcomes with missing covariates.
@en
Generalized estimating equation model for binary outcomes with missing covariates.
@nl
type
label
Generalized estimating equation model for binary outcomes with missing covariates.
@en
Generalized estimating equation model for binary outcomes with missing covariates.
@nl
prefLabel
Generalized estimating equation model for binary outcomes with missing covariates.
@en
Generalized estimating equation model for binary outcomes with missing covariates.
@nl
P356
P1433
P1476
Generalized estimating equation model for binary outcomes with missing covariates.
@en
P304
P356
10.2307/2533511
P407
P577
1997-12-01T00:00:00Z