228 related articles for article (PubMed ID: 26610248)
41. Evaluating FIML and multiple imputation in joint ordinal-continuous measurements models with missing data.
Lim AJ; Cheung MW
Behav Res Methods; 2022 Jun; 54(3):1063-1077. PubMed ID: 34545537
[TBL] [Abstract][Full Text] [Related]
42. Missing data and imputation: a practical illustration in a prognostic study on low back pain.
Vergouw D; Heymans MW; van der Windt DA; Foster NE; Dunn KM; van der Horst HE; de Vet HC
J Manipulative Physiol Ther; 2012 Jul; 35(6):464-71. PubMed ID: 22964020
[TBL] [Abstract][Full Text] [Related]
43. Combining proration and full information maximum likelihood in handling missing data in Likert scale items: A hybrid approach.
Wu W; Gu F; Fukui S
Behav Res Methods; 2022 Apr; 54(2):922-940. PubMed ID: 34357540
[TBL] [Abstract][Full Text] [Related]
44. Strategies for multiple imputation in longitudinal studies.
Spratt M; Carpenter J; Sterne JA; Carlin JB; Heron J; Henderson J; Tilling K
Am J Epidemiol; 2010 Aug; 172(4):478-87. PubMed ID: 20616200
[TBL] [Abstract][Full Text] [Related]
45. Assessing remedies for missing weekly individual exposure in sport injury studies.
Kang J; Yuan Y; Emery C
Inj Prev; 2014 Jun; 20(3):177-82. PubMed ID: 23942806
[TBL] [Abstract][Full Text] [Related]
46. [Multiple imputation of missing at random data: General points and presentation of a Monte-Carlo method].
Cottrell G; Cot M; Mary JY
Rev Epidemiol Sante Publique; 2009 Oct; 57(5):361-72. PubMed ID: 19674855
[TBL] [Abstract][Full Text] [Related]
47. Latent variable models for multivariate longitudinal ordinal responses.
Cagnone S; Moustaki I; Vasdekis V
Br J Math Stat Psychol; 2009 May; 62(Pt 2):401-15. PubMed ID: 18625083
[TBL] [Abstract][Full Text] [Related]
48. Imputation by the mean score should be avoided when validating a Patient Reported Outcomes questionnaire by a Rasch model in presence of informative missing data.
Hardouin JB; Conroy R; Sébille V
BMC Med Res Methodol; 2011 Jul; 11():105. PubMed ID: 21756330
[TBL] [Abstract][Full Text] [Related]
49. Nonlinear multiple imputation for continuous covariate within semiparametric Cox model: application to HIV data in Senegal.
Mbougua JB; Laurent C; Ndoye I; Delaporte E; Gwet H; Molinari N
Stat Med; 2013 Nov; 32(26):4651-65. PubMed ID: 23712767
[TBL] [Abstract][Full Text] [Related]
50. Multiple imputation of missing dual-energy X-ray absorptiometry data in the National Health and Nutrition Examination Survey.
Schenker N; Borrud LG; Burt VL; Curtin LR; Flegal KM; Hughes J; Johnson CL; Looker AC; Mirel L
Stat Med; 2011 Feb; 30(3):260-76. PubMed ID: 21213343
[TBL] [Abstract][Full Text] [Related]
51. The multiple imputation method: a case study involving secondary data analysis.
Walani SR; Cleland CM
Nurse Res; 2015 May; 22(5):13-9. PubMed ID: 25976532
[TBL] [Abstract][Full Text] [Related]
52. Comparison of two treatments with skewed ordinal responses.
Lu TY; Poon WY; Cheung SH
Stat Med; 2016 Jan; 35(2):189-201. PubMed ID: 26289419
[TBL] [Abstract][Full Text] [Related]
53. Comparisons of methods for analysis of repeated binary responses with missing data.
Frank Liu G; Zhan X
J Biopharm Stat; 2011 May; 21(3):371-92. PubMed ID: 21442514
[TBL] [Abstract][Full Text] [Related]
54. Imputing physical health status scores missing owing to mortality: results of a simulation comparing multiple techniques.
Revicki DA; Gold K; Buckman D; Chan K; Kallich JD; Woolley JM
Med Care; 2001 Jan; 39(1):61-71. PubMed ID: 11176544
[TBL] [Abstract][Full Text] [Related]
55. Robustness of a multivariate normal approximation for imputation of incomplete binary data.
Bernaards CA; Belin TR; Schafer JL
Stat Med; 2007 Mar; 26(6):1368-82. PubMed ID: 16810713
[TBL] [Abstract][Full Text] [Related]
56. Missing item imputation for quality-of-life instruments with application to asthma quality-of-life questionnaires.
Wang J; Rapatz G; Lowy A; Olson S; Kuebler J
Pharm Stat; 2009; 8(1):73-83. PubMed ID: 18383560
[TBL] [Abstract][Full Text] [Related]
57. [Comparison of simple and multiple imputation methods using a risk model for surgical mortality as example].
Nunes LN; Klück MM; Fachel JM
Rev Bras Epidemiol; 2010 Dec; 13(4):596-606. PubMed ID: 21180849
[TBL] [Abstract][Full Text] [Related]
58. Multiple imputation and posterior simulation for multivariate missing data in longitudinal studies.
Liu M; Taylor JM; Belin TR
Biometrics; 2000 Dec; 56(4):1157-63. PubMed ID: 11213759
[TBL] [Abstract][Full Text] [Related]
59. Proportional-odds models for repeated composite and long ordinal outcome scales.
Parsons NR
Stat Med; 2013 Aug; 32(18):3181-91. PubMed ID: 23401181
[TBL] [Abstract][Full Text] [Related]
60. Evaluation of dominance-based ordinal multiple regression for variables with few categories.
Woods CM
Br J Math Stat Psychol; 2013 Feb; 66(1):169-88. PubMed ID: 22548326
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]