These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
236 related articles for article (PubMed ID: 3353609)
1. Missing data in longitudinal studies. Laird NM Stat Med; 1988; 7(1-2):305-15. PubMed ID: 3353609 [TBL] [Abstract][Full Text] [Related]
2. Analysis of incomplete multivariate data using linear models with structured covariance matrices. Schluchter MD Stat Med; 1988; 7(1-2):317-24. PubMed ID: 3353610 [TBL] [Abstract][Full Text] [Related]
6. Methodological and conceptual issues regarding occupational psychosocial coronary heart disease epidemiology. Burr H; Formazin M; Pohrt A Scand J Work Environ Health; 2016 May; 42(3):251-5. PubMed ID: 26960179 [TBL] [Abstract][Full Text] [Related]
7. Repeated Measures Designs and Analysis of Longitudinal Data: If at First You Do Not Succeed-Try, Try Again. Schober P; Vetter TR Anesth Analg; 2018 Aug; 127(2):569-575. PubMed ID: 29905618 [TBL] [Abstract][Full Text] [Related]
8. Move over LOCF: principled methods for handling missing data in sleep disorder trials. Olsen MK; Stechuchak KM; Edinger JD; Ulmer CS; Woolson RF Sleep Med; 2012 Feb; 13(2):123-32. PubMed ID: 22172964 [TBL] [Abstract][Full Text] [Related]
9. Single time point comparisons in longitudinal randomized controlled trials: power and bias in the presence of missing data. Ashbeck EL; Bell ML BMC Med Res Methodol; 2016 Apr; 16():43. PubMed ID: 27068578 [TBL] [Abstract][Full Text] [Related]
10. An application of multivariate ratio methods for the analysis of a longitudinal clinical trial with missing data. Stanish WM; Gillings DB; Koch GG Biometrics; 1978 Jun; 34(2):305-17. PubMed ID: 352416 [TBL] [Abstract][Full Text] [Related]
11. A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study. De Silva AP; Moreno-Betancur M; De Livera AM; Lee KJ; Simpson JA BMC Med Res Methodol; 2017 Jul; 17(1):114. PubMed ID: 28743256 [TBL] [Abstract][Full Text] [Related]
12. Pseudo-likelihood methods for longitudinal binary data with non-ignorable missing responses and covariates. Parzen M; Lipsitz SR; Fitzmaurice GM; Ibrahim JG; Troxel A Stat Med; 2006 Aug; 25(16):2784-96. PubMed ID: 16345018 [TBL] [Abstract][Full Text] [Related]
13. Missing data in longitudinal studies: cross-sectional multiple imputation provides similar estimates to full-information maximum likelihood. Ferro MA Ann Epidemiol; 2014 Jan; 24(1):75-7. PubMed ID: 24210708 [TBL] [Abstract][Full Text] [Related]
14. Inference methods for saturated models in longitudinal clinical trials with incomplete binary data. Song JX Pharm Stat; 2006; 5(4):295-304. PubMed ID: 17128429 [TBL] [Abstract][Full Text] [Related]
15. Application of pattern mixture models to address missing data in longitudinal data analysis using SPSS. Son H; Friedmann E; Thomas SA Nurs Res; 2012; 61(3):195-203. PubMed ID: 22551994 [TBL] [Abstract][Full Text] [Related]
16. Simple adjustments for randomized trials with nonrandomly missing or censored outcomes arising from informative covariates. Baker SG; Fitzmaurice GM; Freedman LS; Kramer BS Biostatistics; 2006 Jan; 7(1):29-40. PubMed ID: 15923407 [TBL] [Abstract][Full Text] [Related]
17. Comparison of data analysis strategies for intent-to-treat analysis in pre-test-post-test designs with substantial dropout rates. Salim A; Mackinnon A; Christensen H; Griffiths K Psychiatry Res; 2008 Sep; 160(3):335-45. PubMed ID: 18718673 [TBL] [Abstract][Full Text] [Related]
18. Treatment of missing data in follow-up studies of randomised controlled trials: A systematic review of the literature. Sullivan TR; Yelland LN; Lee KJ; Ryan P; Salter AB Clin Trials; 2017 Aug; 14(4):387-395. PubMed ID: 28385071 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. Multiple imputation of missing values was not necessary before performing a longitudinal mixed-model analysis. Twisk J; de Boer M; de Vente W; Heymans M J Clin Epidemiol; 2013 Sep; 66(9):1022-8. PubMed ID: 23790725 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]