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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

328 related articles for article (PubMed ID: 17656452)

  • 1. Random effects and latent processes approaches for analyzing binary longitudinal data with missingness: a comparison of approaches using opiate clinical trial data.
    Albert PS; Follmann DA
    Stat Methods Med Res; 2007 Oct; 16(5):417-39. PubMed ID: 17656452
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Markov transition models for binary repeated measures with ignorable and nonignorable missing values.
    Xiaowei Yang ; Shoptaw S; Kun Nie ; Juanmei Liu ; Belin TR
    Stat Methods Med Res; 2007 Aug; 16(4):347-64. PubMed ID: 17715161
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Assessing missing data assumptions in longitudinal studies: an example using a smoking cessation trial.
    Yang X; Shoptaw S
    Drug Alcohol Depend; 2005 Mar; 77(3):213-25. PubMed ID: 15734221
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A comparison of the random-effects pattern mixture model with last-observation-carried-forward (LOCF) analysis in longitudinal clinical trials with dropouts.
    Siddiqui O; Ali MW
    J Biopharm Stat; 1998 Nov; 8(4):545-63. PubMed ID: 9855033
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A random-effects Markov transition model for Poisson-distributed repeated measures with non-ignorable missing values.
    Li J; Yang X; Wu Y; Shoptaw S
    Stat Med; 2007 May; 26(12):2519-32. PubMed ID: 17106918
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Modelling placebo response in depression trials using a longitudinal model with informative dropout.
    Gomeni R; Lavergne A; Merlo-Pich E
    Eur J Pharm Sci; 2009 Jan; 36(1):4-10. PubMed ID: 19041717
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An index of local sensitivity to non-ignorability for multivariate longitudinal mixed data with potential non-random dropout.
    Mahabadi SE; Ganjali M
    Stat Med; 2010 Jul; 29(17):1779-92. PubMed ID: 20658547
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Mixed effects logistic regression models for longitudinal binary response data with informative drop-out.
    Ten Have TR; Kunselman AR; Pulkstenis EP; Landis JR
    Biometrics; 1998 Mar; 54(1):367-83. PubMed ID: 9544529
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multiple imputation compared with some informative dropout procedures in the estimation and comparison of rates of change in longitudinal clinical trials with dropouts.
    Ali MW; Siddiqui O
    J Biopharm Stat; 2000 May; 10(2):165-81. PubMed ID: 10803723
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of imputation and modelling methods in the analysis of a physical activity trial with missing outcomes.
    Wood AM; White IR; Hillsdon M; Carpenter J
    Int J Epidemiol; 2005 Feb; 34(1):89-99. PubMed ID: 15333619
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Analysis of non-ignorable missing and left-censored longitudinal data using a weighted random effects tobit model.
    Sattar A; Weissfeld LA; Molenberghs G
    Stat Med; 2011 Nov; 30(27):3167-80. PubMed ID: 21898524
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A local sensitivity analysis approach to longitudinal non-Gaussian data with non-ignorable dropout.
    Xie H
    Stat Med; 2008 Jul; 27(16):3155-77. PubMed ID: 17948917
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A multistate Markov chain model for longitudinal, categorical quality-of-life data subject to non-ignorable missingness.
    Cole BF; Bonetti M; Zaslavsky AM; Gelber RD
    Stat Med; 2005 Aug; 24(15):2317-34. PubMed ID: 15977292
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A marginalized pattern-mixture model for longitudinal binary data when nonresponse depends on unobserved responses.
    Wilkins KJ; Fitzmaurice GM
    Biostatistics; 2007 Apr; 8(2):297-305. PubMed ID: 16787997
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiple imputation for model checking: completed-data plots with missing and latent data.
    Gelman A; Van Mechelen I; Verbeke G; Heitjan DF; Meulders M
    Biometrics; 2005 Mar; 61(1):74-85. PubMed ID: 15737080
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An autoregressive linear mixed effects model for the analysis of longitudinal data which include dropouts and show profiles approaching asymptotes.
    Funatogawa T; Funatogawa I; Takeuchi M
    Stat Med; 2008 Dec; 27(30):6351-66. PubMed ID: 18767204
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A semi-parametric shared parameter model to handle nonmonotone nonignorable missingness.
    Tsonaka R; Verbeke G; Lesaffre E
    Biometrics; 2009 Mar; 65(1):81-7. PubMed ID: 18373713
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A selection model for longitudinal binary responses subject to non-ignorable attrition.
    Alfò M; Maruotti A
    Stat Med; 2009 Aug; 28(19):2435-50. PubMed ID: 19424960
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An overview of practical approaches for handling missing data in clinical trials.
    DeSouza CM; Legedza AT; Sankoh AJ
    J Biopharm Stat; 2009 Nov; 19(6):1055-73. PubMed ID: 20183464
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.