496 related articles for article (PubMed ID: 14674868)
1. Missing data techniques for structural equation modeling.
Allison PD
J Abnorm Psychol; 2003 Nov; 112(4):545-57. PubMed ID: 14674868
[TBL] [Abstract][Full Text] [Related]
2. The impact of nonnormality on full information maximum-likelihood estimation for structural equation models with missing data.
Enders CK
Psychol Methods; 2001 Dec; 6(4):352-70. PubMed ID: 11778677
[TBL] [Abstract][Full Text] [Related]
3. Methods for addressing missing data in psychiatric and developmental research.
Croy CD; Novins DK
J Am Acad Child Adolesc Psychiatry; 2005 Dec; 44(12):1230-40. PubMed ID: 16292114
[TBL] [Abstract][Full Text] [Related]
4. Introduction to the special section on structural equation modeling.
Tomarken AJ; Baker TB
J Abnorm Psychol; 2003 Nov; 112(4):523-5. PubMed ID: 14674866
[TBL] [Abstract][Full Text] [Related]
5. The use of multiple imputation for the analysis of missing data.
Sinharay S; Stern HS; Russell D
Psychol Methods; 2001 Dec; 6(4):317-29. PubMed ID: 11778675
[TBL] [Abstract][Full Text] [Related]
6. Power equivalence in structural equation modelling.
von Oertzen T
Br J Math Stat Psychol; 2010 May; 63(Pt 2):257-72. PubMed ID: 19527562
[TBL] [Abstract][Full Text] [Related]
7. Potential problems with "well fitting" models.
Tomarken AJ; Waller NG
J Abnorm Psychol; 2003 Nov; 112(4):578-98. PubMed ID: 14674870
[TBL] [Abstract][Full Text] [Related]
8. Robust model fitting for the non linear structural equation model under normal theory.
Xia YM; Song XY; Lee SY
Br J Math Stat Psychol; 2009 Nov; 62(Pt 3):529-68. PubMed ID: 19040790
[TBL] [Abstract][Full Text] [Related]
9. Analyzing psychopathology items: a case for nonparametric item response theory modeling.
Meijer RR; Baneke JJ
Psychol Methods; 2004 Sep; 9(3):354-68. PubMed ID: 15355153
[TBL] [Abstract][Full Text] [Related]
10. A Monte Carlo study of the impact of missing data and differential item functioning on theta estimates from two polytomous Rasch family models.
Furlow CF; Fouladi RT; Gagne P; Whittaker TA
J Appl Meas; 2007; 8(4):388-403. PubMed ID: 18250525
[TBL] [Abstract][Full Text] [Related]
11. Use of missing data methods in longitudinal studies: the persistence of bad practices in developmental psychology.
Jelicić H; Phelps E; Lerner RM
Dev Psychol; 2009 Jul; 45(4):1195-9. PubMed ID: 19586189
[TBL] [Abstract][Full Text] [Related]
12. [Estimation of gene-environment interaction regarding partial case-control study with missing data on gene information of the controls].
Bai JL; Xun PC; Zhao Y; Yu H; Shen HB; Wei QY; Chen F
Zhonghua Liu Xing Bing Xue Za Zhi; 2007 Aug; 28(8):806-9. PubMed ID: 18080572
[TBL] [Abstract][Full Text] [Related]
13. Structural equation modeling with interchangeable dyads.
Olsen JA; Kenny DA
Psychol Methods; 2006 Jun; 11(2):127-41. PubMed ID: 16784334
[TBL] [Abstract][Full Text] [Related]
14. Bayesian analysis of mixtures in structural equation models with non-ignorable missing data.
Cai JH; Song XY
Br J Math Stat Psychol; 2010 Nov; 63(Pt 3):491-508. PubMed ID: 20030969
[TBL] [Abstract][Full Text] [Related]
15. Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach.
Qu Y; Lipkovich I
Stat Med; 2009 Apr; 28(9):1402-14. PubMed ID: 19222021
[TBL] [Abstract][Full Text] [Related]
16. Testing mediational models with longitudinal data: questions and tips in the use of structural equation modeling.
Cole DA; Maxwell SE
J Abnorm Psychol; 2003 Nov; 112(4):558-77. PubMed ID: 14674869
[TBL] [Abstract][Full Text] [Related]
17. Modelling non-ignorable missing-data mechanisms with item response theory models.
Holman R; Glas CA
Br J Math Stat Psychol; 2005 May; 58(Pt 1):1-17. PubMed ID: 15969835
[TBL] [Abstract][Full Text] [Related]
18. Estimating age change in list recall in asset and health dynamics of the oldest-old: the effects of attrition bias and missing data treatment.
Kennison RF; Zelinski EM
Psychol Aging; 2005 Sep; 20(3):460-75. PubMed ID: 16248705
[TBL] [Abstract][Full Text] [Related]
19. A note on the bias of estimators with missing data.
Rotnitzky A; Wypij D
Biometrics; 1994 Dec; 50(4):1163-70. PubMed ID: 7786998
[TBL] [Abstract][Full Text] [Related]
20. Nonparametric estimation of ROC curves in the absence of a gold standard.
Zhou XH; Castelluccio P; Zhou C
Biometrics; 2005 Jun; 61(2):600-9. PubMed ID: 16011710
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
