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.
22. A general framework for random effects survival analysis in the Cox proportional hazards setting. Sargent DJ Biometrics; 1998 Dec; 54(4):1486-97. PubMed ID: 9883547 [TBL] [Abstract][Full Text] [Related]
23. Time-dependent effects of fixed covariates in Cox regression. Verweij PJ; van Houwelingen HC Biometrics; 1995 Dec; 51(4):1550-6. PubMed ID: 8589239 [TBL] [Abstract][Full Text] [Related]
24. Maximum likelihood estimation in the joint analysis of time-to-event and multiple longitudinal variables. Lin H; McCulloch CE; Mayne ST Stat Med; 2002 Aug; 21(16):2369-82. PubMed ID: 12210621 [TBL] [Abstract][Full Text] [Related]
25. Generalized latent variable models with non-linear effects. Rizopoulos D; Moustaki I Br J Math Stat Psychol; 2008 Nov; 61(Pt 2):415-38. PubMed ID: 17535487 [TBL] [Abstract][Full Text] [Related]
30. Interval mapping of quantitative trait loci for time-to-event data with the proportional hazards mixture cure model. Liu M; Lu W; Shao Y Biometrics; 2006 Dec; 62(4):1053-61. PubMed ID: 17156279 [TBL] [Abstract][Full Text] [Related]
31. Analysis of a partially observed binary covariate process and a censored failure time in the presence of truncation and competing risks. Tian L; Lagakos S Biometrics; 2006 Sep; 62(3):821-8. PubMed ID: 16984325 [TBL] [Abstract][Full Text] [Related]
32. Estimating the parameters in the Cox model when covariate variables are measured with error. Hu P; Tsiatis AA; Davidian M Biometrics; 1998 Dec; 54(4):1407-19. PubMed ID: 9883541 [TBL] [Abstract][Full Text] [Related]
33. Modeling conception as an aggregated Bernoulli outcome with latent variables via the EM algorithm. Zhou H; Weinberg CR Biometrics; 1996 Sep; 52(3):945-54. PubMed ID: 8805762 [TBL] [Abstract][Full Text] [Related]
34. A joint frailty model for survival and gap times between recurrent events. Huang X; Liu L Biometrics; 2007 Jun; 63(2):389-97. PubMed ID: 17688491 [TBL] [Abstract][Full Text] [Related]
35. Generalized linear latent variable models for repeated measures of spatially correlated multivariate data. Zhu J; Eickhoff JC; Yan P Biometrics; 2005 Sep; 61(3):674-83. PubMed ID: 16135018 [TBL] [Abstract][Full Text] [Related]
36. Insights into latent class analysis of diagnostic test performance. Pepe MS; Janes H Biostatistics; 2007 Apr; 8(2):474-84. PubMed ID: 17085745 [TBL] [Abstract][Full Text] [Related]
37. Quasi-symmetric latent class models, with application to rater agreement. Agresti A; Lang JB Biometrics; 1993 Mar; 49(1):131-9. PubMed ID: 8513099 [TBL] [Abstract][Full Text] [Related]
38. Regression analysis of failure time data with informative interval censoring. Zhang Z; Sun L; Sun J; Finkelstein DM Stat Med; 2007 May; 26(12):2533-46. PubMed ID: 17072823 [TBL] [Abstract][Full Text] [Related]
39. Selecting factors predictive of heterogeneity in multivariate event time data. Dunson DB; Chen Z Biometrics; 2004 Jun; 60(2):352-8. PubMed ID: 15180660 [TBL] [Abstract][Full Text] [Related]
40. Extended follow-up and spatial analysis of the American Cancer Society study linking particulate air pollution and mortality. Krewski D; Jerrett M; Burnett RT; Ma R; Hughes E; Shi Y; Turner MC; Pope CA; Thurston G; Calle EE; Thun MJ; Beckerman B; DeLuca P; Finkelstein N; Ito K; Moore DK; Newbold KB; Ramsay T; Ross Z; Shin H; Tempalski B Res Rep Health Eff Inst; 2009 May; (140):5-114; discussion 115-36. PubMed ID: 19627030 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]