71 related articles for article (PubMed ID: 3390512)
1. Fitting time-dependent multicompartment models: a case study.
Faddy MJ; Jones MC
Biometrics; 1988 Jun; 44(2):587-93. PubMed ID: 3390512
[TBL] [Abstract][Full Text] [Related]
2. Bayesian nonparametric estimation of continuous monotone functions with applications to dose-response analysis.
Bornkamp B; Ickstadt K
Biometrics; 2009 Mar; 65(1):198-205. PubMed ID: 18510655
[TBL] [Abstract][Full Text] [Related]
3. Nonparametric regression estimates with censored data: local linear smoothers and their applications.
Kim HT; Truong YK
Biometrics; 1998 Dec; 54(4):1434-44. PubMed ID: 9883543
[TBL] [Abstract][Full Text] [Related]
4. Indirect pharmacodynamic response models do not require any parametric pharmacokinetic model to be fitted to effect-time data.
Piotrovsky VK
Methods Find Exp Clin Pharmacol; 1997 Dec; 19(10):723-9. PubMed ID: 9542723
[TBL] [Abstract][Full Text] [Related]
5. Semiparametric regression in capture-recapture modeling.
Gimenez O; Crainiceanu C; Barbraud C; Jenouvrier S; Morgan BJ
Biometrics; 2006 Sep; 62(3):691-8. PubMed ID: 16984309
[TBL] [Abstract][Full Text] [Related]
6. Modeling of time trends and interactions in vital rates using restricted regression splines.
Heuer C
Biometrics; 1997 Mar; 53(1):161-77. PubMed ID: 9147590
[TBL] [Abstract][Full Text] [Related]
7. Fully parametric and semi-parametric regression models for common events with covariate measurement error in main study/validation study designs.
Spiegelman D; Casella M
Biometrics; 1997 Jun; 53(2):395-409. PubMed ID: 9192443
[TBL] [Abstract][Full Text] [Related]
8. Predictive feedback in human simulated pendulum balancing.
Gawthrop P; Loram I; Lakie M
Biol Cybern; 2009 Aug; 101(2):131-46. PubMed ID: 19588160
[TBL] [Abstract][Full Text] [Related]
9. Fitting a sinusoid to biological rhythm data using ranks.
Pettitt AN
Biometrics; 1984 Jun; 40(2):295-300. PubMed ID: 6487719
[TBL] [Abstract][Full Text] [Related]
10. Regression analysis of panel count data with dependent observation times.
Sun J; Tong X; He X
Biometrics; 2007 Dec; 63(4):1053-9. PubMed ID: 18078478
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Parametric modeling of DSC-MRI data with stochastic filtration and optimal input design versus non-parametric modeling.
Kalicka R; Pietrenko-Dabrowska A
Ann Biomed Eng; 2007 Mar; 35(3):453-64. PubMed ID: 17160466
[TBL] [Abstract][Full Text] [Related]
13. Fitting mixture models to grouped and truncated data via the EM algorithm.
McLachlan GJ; Jones PN
Biometrics; 1988 Jun; 44(2):571-8. PubMed ID: 3390510
[TBL] [Abstract][Full Text] [Related]
14. Semi-parametric estimation in failure time mixture models.
Taylor JM
Biometrics; 1995 Sep; 51(3):899-907. PubMed ID: 7548707
[TBL] [Abstract][Full Text] [Related]
15. Partly conditional survival models for longitudinal data.
Zheng Y; Heagerty PJ
Biometrics; 2005 Jun; 61(2):379-91. PubMed ID: 16011684
[TBL] [Abstract][Full Text] [Related]
16. [Meta-analysis of the Italian studies on short-term effects of air pollution].
Biggeri A; Bellini P; Terracini B;
Epidemiol Prev; 2001; 25(2 Suppl):1-71. PubMed ID: 11515188
[TBL] [Abstract][Full Text] [Related]
17. Variable selection for marginal longitudinal generalized linear models.
Cantoni E; Flemming JM; Ronchetti E
Biometrics; 2005 Jun; 61(2):507-14. PubMed ID: 16011698
[TBL] [Abstract][Full Text] [Related]
18. Parametric bootstrap for testing model fitting in the proportional hazards framework: an application to the survival analysis of Bruna dels Pirineus beef calves.
Casellas J; Tarrés J; Piedrafita J; Varona L
J Anim Sci; 2006 Oct; 84(10):2609-16. PubMed ID: 16971560
[TBL] [Abstract][Full Text] [Related]
19. Polynomial spline estimation and inference of proportional hazards regression models with flexible relative risk form.
Huang JZ; Liu L
Biometrics; 2006 Sep; 62(3):793-802. PubMed ID: 16984322
[TBL] [Abstract][Full Text] [Related]
20. A comparison of methods to handle skew distributed cost variables in the analysis of the resource consumption in schizophrenia treatment.
Kilian R; Matschinger H; Löeffler W; Roick C; Angermeyer MC
J Ment Health Policy Econ; 2002 Mar; 5(1):21-31. PubMed ID: 12529567
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
