-
1
-
-
0001885521
-
Regression analysis for categorical variables with outcome subject to nonignorable nonresponse
-
Baker S.G., Laird N.M. Regression analysis for categorical variables with outcome subject to nonignorable nonresponse. Journal of the American Statistical Association 1988, 83:62-69.
-
(1988)
Journal of the American Statistical Association
, vol.83
, pp. 62-69
-
-
Baker, S.G.1
Laird, N.M.2
-
5
-
-
0033474233
-
Missing covariates in generalized linear models when the missing data mechanism is non-ignorable
-
Ibrahim J.G., Lipsitz S.R., Chen M. Missing covariates in generalized linear models when the missing data mechanism is non-ignorable. Journal of the Royal Statistical Society, Series B 1999, 61:173-190.
-
(1999)
Journal of the Royal Statistical Society, Series B
, vol.61
, pp. 173-190
-
-
Ibrahim, J.G.1
Lipsitz, S.R.2
Chen, M.3
-
6
-
-
79952165896
-
Parametric fractional imputation for missing data analysis
-
Kim J.K. Parametric fractional imputation for missing data analysis. Biometrika 2011, 98:119-132.
-
(2011)
Biometrika
, vol.98
, pp. 119-132
-
-
Kim, J.K.1
-
8
-
-
23244448334
-
Finite sample properties of multiple imputation estimators
-
Kim J.K. Finite sample properties of multiple imputation estimators. The Annals of Statistics 2004, 32:766-783.
-
(2004)
The Annals of Statistics
, vol.32
, pp. 766-783
-
-
Kim, J.K.1
-
9
-
-
79954500171
-
A semi-parametric estimation of mean functionals with non-ignorable missing data
-
Kim J.K., Yu C.Y. A semi-parametric estimation of mean functionals with non-ignorable missing data. Journal of the American Statistical Association 2011, 106:157-165.
-
(2011)
Journal of the American Statistical Association
, vol.106
, pp. 157-165
-
-
Kim, J.K.1
Yu, C.Y.2
-
12
-
-
0001044972
-
Finding the observed information matrix when using the EM algorithm
-
Louis T.A. Finding the observed information matrix when using the EM algorithm. Journal of the Royal Statistical Society, Series B 1982, 44:226-233.
-
(1982)
Journal of the Royal Statistical Society, Series B
, vol.44
, pp. 226-233
-
-
Louis, T.A.1
-
13
-
-
84972537494
-
Multiple-imputation inferences with uncongenial sources of input (with discussion)
-
Meng X.L. Multiple-imputation inferences with uncongenial sources of input (with discussion). Statistical Science 1994, 9:538-573.
-
(1994)
Statistical Science
, vol.9
, pp. 538-573
-
-
Meng, X.L.1
-
15
-
-
84950953410
-
Inference from nonrandomly missing categorical data: an example from a genetic study on Turner's Syndrome
-
Nordheim E.V. Inference from nonrandomly missing categorical data: an example from a genetic study on Turner's Syndrome. Journal of the American Statistical Association 1984, 79:772-780.
-
(1984)
Journal of the American Statistical Association
, vol.79
, pp. 772-780
-
-
Nordheim, E.V.1
-
16
-
-
0031554378
-
Log-linear models for a binary response with nonignorable nonresponse
-
Park T., Brown M.B. Log-linear models for a binary response with nonignorable nonresponse. Computational Statistics and Data Analysis 1997, 24:417-432.
-
(1997)
Computational Statistics and Data Analysis
, vol.24
, pp. 417-432
-
-
Park, T.1
Brown, M.B.2
-
17
-
-
0018671320
-
Logistic disease incidence models and case-control studies
-
Prentice R.L., Pyke R. Logistic disease incidence models and case-control studies. Biometrika 1979, 66:403-411.
-
(1979)
Biometrika
, vol.66
, pp. 403-411
-
-
Prentice, R.L.1
Pyke, R.2
-
18
-
-
7544220195
-
Estimating function jackknife variance estimators under stratified multistage sampling
-
Rao J.N.K., Tausi M. Estimating function jackknife variance estimators under stratified multistage sampling. Communications in Statistics: Theory and Method 2004, 33:1-9.
-
(2004)
Communications in Statistics: Theory and Method
, vol.33
, pp. 1-9
-
-
Rao, J.N.K.1
Tausi, M.2
-
21
-
-
0002650537
-
Fitting regression models to case-control data by maximum likelihood
-
Scott A.J., Wild C.J. Fitting regression models to case-control data by maximum likelihood. Biometrika 1997, 84:57-71.
-
(1997)
Biometrika
, vol.84
, pp. 57-71
-
-
Scott, A.J.1
Wild, C.J.2
-
22
-
-
84950432017
-
A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithm
-
Wei G.C.G., Tanner M.A. A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithm. Journal of the American Statistical Association 1990, 85:699-704.
-
(1990)
Journal of the American Statistical Association
, vol.85
, pp. 699-704
-
-
Wei, G.C.G.1
Tanner, M.A.2
|