196 related articles for article (PubMed ID: 9883554)
41. Variable selection for clustering with Gaussian mixture models.
Maugis C; Celeux G; Martin-Magniette ML
Biometrics; 2009 Sep; 65(3):701-9. PubMed ID: 19210744
[TBL] [Abstract][Full Text] [Related]
42. Gamma generalized linear models for pharmacokinetic data.
Salway R; Wakefield J
Biometrics; 2008 Jun; 64(2):620-6. PubMed ID: 17888039
[TBL] [Abstract][Full Text] [Related]
43. Bayesian analysis for generalized linear models with nonignorably missing covariates.
Huang L; Chen MH; Ibrahim JG
Biometrics; 2005 Sep; 61(3):767-80. PubMed ID: 16135028
[TBL] [Abstract][Full Text] [Related]
44. Parameter estimation from incomplete data in binomial regression when the missing data mechanism is nonignorable.
Ibrahim JG; Lipsitz SR
Biometrics; 1996 Sep; 52(3):1071-8. PubMed ID: 8805768
[TBL] [Abstract][Full Text] [Related]
45. Pseudo-likelihood methods for longitudinal binary data with non-ignorable missing responses and covariates.
Parzen M; Lipsitz SR; Fitzmaurice GM; Ibrahim JG; Troxel A
Stat Med; 2006 Aug; 25(16):2784-96. PubMed ID: 16345018
[TBL] [Abstract][Full Text] [Related]
46. Multilevel mixture cure models with random effects.
Lai X; Yau KK
Biom J; 2009 Jun; 51(3):456-66. PubMed ID: 19588451
[TBL] [Abstract][Full Text] [Related]
47. Bayesian hierarchical modeling of drug stability data.
Chen J; Zhong J; Nie L
Stat Med; 2008 Jun; 27(13):2361-80. PubMed ID: 18338325
[TBL] [Abstract][Full Text] [Related]
48. Weighted least squares analysis of repeated categorical measurements with outcomes subject to nonresponse.
Lipsitz SR; Laird NM; Harrington DP
Biometrics; 1994 Mar; 50(1):11-24. PubMed ID: 8086595
[TBL] [Abstract][Full Text] [Related]
49. 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]
50. [Alternative methods of statistical analysis in epidemiology: frequency, likelihood, and Bayesian].
Suárez E; Pérez CM; Guzmán J
P R Health Sci J; 2000 Jun; 19(2):153-6. PubMed ID: 10909711
[No Abstract] [Full Text] [Related]
51. Methods for analyzing multivariate binary data, with association between outcomes of interest.
Molenberghs G; Ritter LL
Biometrics; 1996 Sep; 52(3):1121-33. PubMed ID: 8924574
[TBL] [Abstract][Full Text] [Related]
52. An empirical Bayes method for estimating epistatic effects of quantitative trait loci.
Xu S
Biometrics; 2007 Jun; 63(2):513-21. PubMed ID: 17688503
[TBL] [Abstract][Full Text] [Related]
53. Data cloning: easy maximum likelihood estimation for complex ecological models using Bayesian Markov chain Monte Carlo methods.
Lele SR; Dennis B; Lutscher F
Ecol Lett; 2007 Jul; 10(7):551-63. PubMed ID: 17542934
[TBL] [Abstract][Full Text] [Related]
54. A multiple-record systems estimation method that takes observed and unobserved heterogeneity into account.
Stanghellini E; van der Heijden PG
Biometrics; 2004 Jun; 60(2):510-6. PubMed ID: 15180678
[TBL] [Abstract][Full Text] [Related]
55. Functional mixed-effects model for periodic data.
Qin L; Guo W
Biostatistics; 2006 Apr; 7(2):225-34. PubMed ID: 16207823
[TBL] [Abstract][Full Text] [Related]
56. Bayesian adjustment for covariate measurement errors: a flexible parametric approach.
Hossain S; Gustafson P
Stat Med; 2009 May; 28(11):1580-600. PubMed ID: 19226564
[TBL] [Abstract][Full Text] [Related]
57. Estimating variance parameters from multivariate normal variables subject to limit of detection: MLE, REML, or Bayesian approaches?
Nie L; Chu H; Feng S
Stat Med; 2009 Sep; 28(20):2605-16. PubMed ID: 19598183
[TBL] [Abstract][Full Text] [Related]
58. Weighted nonparametric maximum likelihood estimate of a mixing distribution in nonrandomized clinical trials.
Liu C; Xie J; Zhang Y
Stat Med; 2007 Dec; 26(29):5303-19. PubMed ID: 17497612
[TBL] [Abstract][Full Text] [Related]
59. Semiparametric analysis of two-level bivariate binary data.
Naskar M; Das K
Biometrics; 2006 Dec; 62(4):1004-13. PubMed ID: 17156274
[TBL] [Abstract][Full Text] [Related]
60. Bayesian neural networks for bivariate binary data: an application to prostate cancer study.
Chakraborty S; Ghosh M; Maiti T; Tewari A
Stat Med; 2005 Dec; 24(23):3645-62. PubMed ID: 16138362
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]