130 related articles for article (PubMed ID: 25832442)
1. Likelihood-based inferences about the mean area under a longitudinal curve in the presence of observations subject to limits of detection.
Chandrasekhar R; Shi Y; Hutson AD; Wilding GE
Pharm Stat; 2015; 14(3):252-61. PubMed ID: 25832442
[TBL] [Abstract][Full Text] [Related]
2. Between-group comparison of area under the curve in clinical trials with censored follow-up: Application to HIV therapeutic vaccines.
Alexandre M; Prague M; Thiébaut R
Stat Methods Med Res; 2021 Sep; 30(9):2130-2147. PubMed ID: 34218746
[TBL] [Abstract][Full Text] [Related]
3. A new linear model-based approach for inferences about the mean area under the curve.
Wilding GE; Chandrasekhar R; Hutson AD
Stat Med; 2012 Dec; 31(28):3563-78. PubMed ID: 23175104
[TBL] [Abstract][Full Text] [Related]
4. A comparative investigation of methods for longitudinal data with limits of detection through a case study.
Fu P; Hughes J; Zeng G; Hanook S; Orem J; Mwanda OW; Remick SC
Stat Methods Med Res; 2016 Feb; 25(1):153-66. PubMed ID: 22504231
[TBL] [Abstract][Full Text] [Related]
5. Bayesian nonparametric mixed-effects joint model for longitudinal-competing risks data analysis in presence of multiple data features.
Lu T
Stat Methods Med Res; 2017 Oct; 26(5):2407-2423. PubMed ID: 26265770
[TBL] [Abstract][Full Text] [Related]
6. Slope estimation for informatively right censored longitudinal data modelling the number of observations using geometric and Poisson distributions: application to renal transplant cohort.
Jaffa MA; Lipsitz S; Woolson RF
Stat Methods Med Res; 2015 Dec; 24(6):819-35. PubMed ID: 22143404
[TBL] [Abstract][Full Text] [Related]
7. A model for adjusting for nonignorable verification bias in estimation of the ROC curve and its area with likelihood-based approach.
Liu D; Zhou XH
Biometrics; 2010 Dec; 66(4):1119-28. PubMed ID: 20222937
[TBL] [Abstract][Full Text] [Related]
8. Penalized likelihood approach to estimate a smooth mean curve on longitudinal data.
Jacqmin-Gadda H; Joly P; Commenges D; Binquet C; Chêne G
Stat Med; 2002 Aug; 21(16):2391-402. PubMed ID: 12210623
[TBL] [Abstract][Full Text] [Related]
9. Segmental modeling of viral load changes for HIV longitudinal data with skewness and detection limits.
Huang Y
Stat Med; 2013 Jan; 32(2):319-34. PubMed ID: 22833368
[TBL] [Abstract][Full Text] [Related]
10. Joint analysis of longitudinal data with informative right censoring.
Liu M; Ying Z
Biometrics; 2007 Jun; 63(2):363-71. PubMed ID: 17425632
[TBL] [Abstract][Full Text] [Related]
11. Modelling the association between adherence and viral load in HIV-infected patients.
Vrijens B; Goetghebeur E; de Klerk E; Rode R; Mayer S; Urquhart J
Stat Med; 2005 Sep; 24(17):2719-31. PubMed ID: 16118813
[TBL] [Abstract][Full Text] [Related]
12. Estimating area under the curve and relative exposure in a pharmacokinetic study with data below quantification limit.
Fang L; Chen P; Ke C; Lee E
J Biopharm Stat; 2011 Jan; 21(1):66-76. PubMed ID: 21191855
[TBL] [Abstract][Full Text] [Related]
13. Hierarchical mixture models for longitudinal immunologic data with heterogeneity, non-normality, and missingness.
Huang Y; Chen J; Yin P
Stat Methods Med Res; 2017 Feb; 26(1):223-247. PubMed ID: 25038070
[TBL] [Abstract][Full Text] [Related]
14. Generalized linear mixed model for binary outcomes when covariates are subject to measurement errors and detection limits.
Xie X; Xue X; Strickler HD
Stat Med; 2018 Jan; 37(1):119-136. PubMed ID: 28980332
[TBL] [Abstract][Full Text] [Related]
15. A moving blocks empirical likelihood method for longitudinal data.
Qiu J; Wu L
Biometrics; 2015 Sep; 71(3):616-24. PubMed ID: 25967250
[TBL] [Abstract][Full Text] [Related]
16. Slope estimation in the presence of informative right censoring: modeling the number of observations as a geometric random variable.
Mori M; Woolson RF; Woodworth GG
Biometrics; 1994 Mar; 50(1):39-50. PubMed ID: 8086614
[TBL] [Abstract][Full Text] [Related]
17. Bayesian Two-Part Tobit Models with Left-Censoring, Skewness, and Nonignorable Missingness.
Dagne GA; Huang Y
J Biopharm Stat; 2015; 25(4):714-30. PubMed ID: 24905924
[TBL] [Abstract][Full Text] [Related]
18. Prediction of an outcome using trajectories estimated from a linear mixed model.
Maruyama N; Takahashi F; Takeuchi M
J Biopharm Stat; 2009 Sep; 19(5):779-90. PubMed ID: 20183443
[TBL] [Abstract][Full Text] [Related]
19. Jointly Modeling Event Time and Skewed-Longitudinal Data with Missing Response and Mismeasured Covariate for AIDS Studies.
Huang Y; Yan C; Xing D; Zhang N; Chen H
J Biopharm Stat; 2015; 25(4):670-94. PubMed ID: 24905593
[TBL] [Abstract][Full Text] [Related]
20. Estimating treatment efficacy over time: a logistic regression model for binary longitudinal outcomes.
Choi L; Dominici F; Zeger SL; Ouyang P
Stat Med; 2005 Sep; 24(18):2789-805. PubMed ID: 16134133
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]