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.
150 related articles for article (PubMed ID: 20309762)
1. Haplotype-based pharmacogenetic analysis for longitudinal quantitative traits in the presence of dropout. Tzeng JY; Lu W; Farmen MW; Liu Y; Sullivan PF J Biopharm Stat; 2010 Mar; 20(2):334-50. PubMed ID: 20309762 [TBL] [Abstract][Full Text] [Related]
2. Model selection in the weighted generalized estimating equations for longitudinal data with dropout. Gosho M Biom J; 2016 May; 58(3):570-87. PubMed ID: 26509243 [TBL] [Abstract][Full Text] [Related]
3. A profile analysis approach using MMRM in acute schizophrenia: a comparison to some traditional approaches. Stiger TR; Banerjee A J Biopharm Stat; 2013; 23(6):1372-82. PubMed ID: 24138437 [TBL] [Abstract][Full Text] [Related]
4. Controlled pattern imputation for sensitivity analysis of longitudinal binary and ordinal outcomes with nonignorable dropout. Tang Y Stat Med; 2018 Apr; 37(9):1467-1481. PubMed ID: 29333672 [TBL] [Abstract][Full Text] [Related]
5. Marginalized transition models for longitudinal binary data with ignorable and non-ignorable drop-out. Kurland BF; Heagerty PJ Stat Med; 2004 Sep; 23(17):2673-95. PubMed ID: 15316952 [TBL] [Abstract][Full Text] [Related]
6. A latent variable approach in simultaneous modeling of longitudinal and dropout data in schizophrenia trials. Goyal N; Gomeni R Eur Neuropsychopharmacol; 2013 Nov; 23(11):1570-6. PubMed ID: 23602612 [TBL] [Abstract][Full Text] [Related]
7. Testing gene-treatment interactions in pharmacogenetic studies. He M; Allen A J Biopharm Stat; 2010 Mar; 20(2):301-14. PubMed ID: 20309760 [TBL] [Abstract][Full Text] [Related]
8. A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials. Wu J; Chen MH; Schifano ED; Ibrahim JG; Fisher JD Stat Med; 2019 Dec; 38(30):5565-5586. PubMed ID: 31691322 [TBL] [Abstract][Full Text] [Related]
9. A review of the handling of missing longitudinal outcome data in clinical trials. Powney M; Williamson P; Kirkham J; Kolamunnage-Dona R Trials; 2014 Jun; 15():237. PubMed ID: 24947664 [TBL] [Abstract][Full Text] [Related]
10. Empirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness. Chen C; Shen B; Zhang L; Xue Y; Wang M Biometrics; 2019 Sep; 75(3):950-965. PubMed ID: 31004449 [TBL] [Abstract][Full Text] [Related]
11. [Priority for atypical antipsychotic drugs? Current studies clarify the issues]. Dose M Psychiatr Prax; 2007 Jan; 34(1):46-9. PubMed ID: 17265252 [No Abstract] [Full Text] [Related]
12. A comprehensive approach to haplotype-specific analysis by penalized likelihood. Tzeng JY; Bondell HD Eur J Hum Genet; 2010 Jan; 18(1):95-103. PubMed ID: 19584902 [TBL] [Abstract][Full Text] [Related]
13. Dropout rates in placebo-controlled and active-control clinical trials of antipsychotic drugs: a meta-analysis. Kemmler G; Hummer M; Widschwendter C; Fleischhacker WW Arch Gen Psychiatry; 2005 Dec; 62(12):1305-12. PubMed ID: 16330718 [TBL] [Abstract][Full Text] [Related]
14. Statistical analysis of longitudinal psychiatric data with dropouts. Mazumdar S; Tang G; Houck PR; Dew MA; Begley AE; Scott J; Mulsant BH; Reynolds CF J Psychiatr Res; 2007 Dec; 41(12):1032-41. PubMed ID: 17092516 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Parametric models for incomplete continuous and categorical longitudinal data. Kenward MG; Molenberghs G Stat Methods Med Res; 1999 Mar; 8(1):51-83. PubMed ID: 10347860 [TBL] [Abstract][Full Text] [Related]
18. Α Markov model for longitudinal studies with incomplete dichotomous outcomes. Efthimiou O; Welton N; Samara M; Leucht S; Salanti G; Pharm Stat; 2017 Mar; 16(2):122-132. PubMed ID: 27917593 [TBL] [Abstract][Full Text] [Related]
19. A penalized likelihood approach for investigating gene-drug interactions in pharmacogenetic studies. Neely ML; Bondell HD; Tzeng JY Biometrics; 2015 Jun; 71(2):529-37. PubMed ID: 25604216 [TBL] [Abstract][Full Text] [Related]
20. Simulation-based study comparing multiple imputation methods for non-monotone missing ordinal data in longitudinal settings. Donneau AF; Mauer M; Lambert P; Molenberghs G; Albert A J Biopharm Stat; 2015; 25(3):570-601. PubMed ID: 24905056 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]