364 related articles for article (PubMed ID: 17688488)
1. Two-stage functional mixed models for evaluating the effect of longitudinal covariate profiles on a scalar outcome.
Zhang D; Lin X; Sowers M
Biometrics; 2007 Jun; 63(2):351-62. PubMed ID: 17688488
[TBL] [Abstract][Full Text] [Related]
2. Menopause transition stage and endogenous estradiol and follicle-stimulating hormone levels are not related to cognitive performance: cross-sectional results from the study of women's health across the nation (SWAN).
Luetters C; Huang MH; Seeman T; Buckwalter G; Meyer PM; Avis NE; Sternfeld B; Johnston JM; Greendale GA
J Womens Health (Larchmt); 2007 Apr; 16(3):331-44. PubMed ID: 17439378
[TBL] [Abstract][Full Text] [Related]
3. A joint model for survival and longitudinal data measured with error.
Wulfsohn MS; Tsiatis AA
Biometrics; 1997 Mar; 53(1):330-9. PubMed ID: 9147598
[TBL] [Abstract][Full Text] [Related]
4. Low bone mineral density in the early menopausal transition: role for ovulatory function.
Grewal J; Sowers MR; Randolph JF; Harlow SD; Lin X
J Clin Endocrinol Metab; 2006 Oct; 91(10):3780-5. PubMed ID: 16835283
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Generalized linear mixed models with varying coefficients for longitudinal data.
Zhang D
Biometrics; 2004 Mar; 60(1):8-15. PubMed ID: 15032768
[TBL] [Abstract][Full Text] [Related]
7. Characterizing daily urinary hormone profiles for women at midlife using functional data analysis.
Meyer PM; Zeger SL; Harlow SD; Sowers M; Crawford S; Luborsky JL; Janssen I; McConnell DS; Randolph JF; Weiss G
Am J Epidemiol; 2007 Apr; 165(8):936-45. PubMed ID: 17267418
[TBL] [Abstract][Full Text] [Related]
8. Structural inference in transition measurement error models for longitudinal data.
Pan W; Lin X; Zeng D
Biometrics; 2006 Jun; 62(2):402-12. PubMed ID: 16918904
[TBL] [Abstract][Full Text] [Related]
9. Semiparametric approaches for joint modeling of longitudinal and survival data with time-varying coefficients.
Song X; Wang CY
Biometrics; 2008 Jun; 64(2):557-66. PubMed ID: 17725812
[TBL] [Abstract][Full Text] [Related]
10. Bayesian nonparametric regression analysis of data with random effects covariates from longitudinal measurements.
Ryu D; Li E; Mallick BK
Biometrics; 2011 Jun; 67(2):454-66. PubMed ID: 20880012
[TBL] [Abstract][Full Text] [Related]
11. Covariate-adjusted varying coefficient models.
Sentürk D
Biostatistics; 2006 Apr; 7(2):235-51. PubMed ID: 16251402
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Flexible modeling via a hybrid estimation scheme in generalized mixed models for longitudinal data.
Leung Lai T; Shih MC; Wong SP
Biometrics; 2006 Mar; 62(1):159-67. PubMed ID: 16542242
[TBL] [Abstract][Full Text] [Related]
14. Error in timing in regression with observed longitudinal measurements.
Wang CY; Huang Y
Stat Med; 2003 Aug; 22(16):2577-90. PubMed ID: 12898545
[TBL] [Abstract][Full Text] [Related]
15. Application of an enzyme immunoassay for urinary follicle-stimulating hormone to describe the effects of an acute stressor at different stages of the menstrual cycle in female laboratory macaques.
Todd HE; Shideler SE; Laughlin LS; Overstreet JW; Pohl CR; Byrd W; Lasley BL
Am J Primatol; 1999; 48(2):135-51. PubMed ID: 10333433
[TBL] [Abstract][Full Text] [Related]
16. Marginalized binary mixed-effects models with covariate-dependent random effects and likelihood inference.
Wang Z; Louis TA
Biometrics; 2004 Dec; 60(4):884-91. PubMed ID: 15606408
[TBL] [Abstract][Full Text] [Related]
17. A partial likelihood approach to smooth estimation of dynamic covariate effects using penalised splines.
Brown D; Kauermann G; Ford I
Biom J; 2007 Jun; 49(3):441-52. PubMed ID: 17623348
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. A longitudinal measurement error model with a semicontinuous covariate.
Li L; Shao J; Palta M
Biometrics; 2005 Sep; 61(3):824-30. PubMed ID: 16135034
[TBL] [Abstract][Full Text] [Related]
20. Hypothesis testing in functional linear regression models with Neyman's truncation and wavelet thresholding for longitudinal data.
Yang X; Nie K
Stat Med; 2008 Mar; 27(6):845-63. PubMed ID: 17610294
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
