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Items: 1 to 20 of 80

1.

Mixed-Poisson Point Process with Partially-Observed Covariates: Ecological Momentary Assessment of Smoking.

Neustifter B, Rathbun SL, Shiffman S.

J Appl Stat. 2012;39(4):883-899. Epub 2012 Mar 12.

2.

Survival Analysis with Time-Varying Covariates Measured at Random Times by Design.

Rathbun SL, Song X, Neustifter B, Shiffman S.

J R Stat Soc Ser C Appl Stat. 2013 May 1;62(3):419-434.

3.

Mixed effects models for recurrent events data with partially observed time-varying covariates: Ecological momentary assessment of smoking.

Rathbun SL, Shiffman S.

Biometrics. 2016 Mar;72(1):46-55. doi: 10.1111/biom.12416. Epub 2015 Sep 27.

4.

ROBUST MIXED EFFECTS MODEL FOR CLUSTERED FAILURE TIME DATA: APPLICATION TO HUNTINGTON'S DISEASE EVENT MEASURES.

Garcia TP, Ma Y, Marder K, Wang Y.

Ann Appl Stat. 2017;11(2):1085-1116. doi: 10.1214/17-AOAS1038. Epub 2017 Jul 20.

5.

Semiparametric estimation of the accelerated mean model with panel count data under informative examination times.

Chiou SH, Xu G, Yan J, Huang CY.

Biometrics. 2017 Dec 29. doi: 10.1111/biom.12840. [Epub ahead of print]

PMID:
29286532
6.

A mixed ordinal location scale model for analysis of Ecological Momentary Assessment (EMA) data.

Hedeker D, Demirtas H, Mermelstein RJ.

Stat Interface. 2009;2(4):391-401.

7.

An application of a mixed-effects location scale model for analysis of Ecological Momentary Assessment (EMA) data.

Hedeker D, Mermelstein RJ, Demirtas H.

Biometrics. 2008 Jun;64(2):627-34. Epub 2007 Oct 26.

8.
9.

Approximate nonparametric corrected-score method for joint modeling of survival and longitudinal data measured with error.

Tapsoba JD, Lee SM, Wang CY.

Biom J. 2011 Jul;53(4):557-77. doi: 10.1002/bimj.201000180. Erratum in: Biom J. 2015 Jul;57(4):720. de Dieu Tapsoba, Jean [corrected to Tapsoba, Jean D].

10.

Modeling mood variation associated with smoking: an application of a heterogeneous mixed-effects model for analysis of ecological momentary assessment (EMA) data.

Hedeker D, Mermelstein RJ, Berbaum ML, Campbell RT.

Addiction. 2009 Feb;104(2):297-307. doi: 10.1111/j.1360-0443.2008.02435.x.

11.

Modeling between-subject and within-subject variances in ecological momentary assessment data using mixed-effects location scale models.

Hedeker D, Mermelstein RJ, Demirtas H.

Stat Med. 2012 Nov 30;31(27):3328-36. doi: 10.1002/sim.5338. Epub 2012 Mar 15.

12.

A measurement error model with a Poisson distributed surrogate.

Li L, Palta M, Shao J.

Stat Med. 2004 Aug 30;23(16):2527-36.

PMID:
15287082
13.

Survival analysis of clinical mastitis data using a nested frailty Cox model fit as a mixed-effects Poisson model.

Elghafghuf A, Dufour S, Reyher K, Dohoo I, Stryhn H.

Prev Vet Med. 2014 Dec 1;117(3-4):456-68. doi: 10.1016/j.prevetmed.2014.09.013. Epub 2014 Oct 5.

PMID:
25449735
14.

Estimation of covariate-specific time-dependent ROC curves in the presence of missing biomarkers.

Li S, Ning Y.

Biometrics. 2015 Sep;71(3):666-76. doi: 10.1111/biom.12312. Epub 2015 Apr 17.

15.

Analysis of multi-type recurrent events in longitudinal studies; application to a skin cancer prevention trial.

Abu-Libdeh H, Turnbull BW, Clark LC.

Biometrics. 1990 Dec;46(4):1017-34.

PMID:
2085623
16.

Semiparametric estimation of the covariate-specific ROC curve in presence of ignorable verification bias.

Liu D, Zhou XH.

Biometrics. 2011 Sep;67(3):906-16. doi: 10.1111/j.1541-0420.2011.01562.x. Epub 2011 Mar 1.

17.

Collaborative double robust targeted maximum likelihood estimation.

van der Laan MJ, Gruber S.

Int J Biostat. 2010 May 17;6(1):Article 17. doi: 10.2202/1557-4679.1181.

18.

On the proportional hazards model for occupational and environmental case-control analyses.

Gauvin H, Lacourt A, Leffondré K.

BMC Med Res Methodol. 2013 Feb 15;13:18. doi: 10.1186/1471-2288-13-18.

19.

Poisson regression models outperform the geometrical model in estimating the peak-to-trough ratio of seasonal variation: a simulation study.

Christensen AL, Lundbye-Christensen S, Dethlefsen C.

Comput Methods Programs Biomed. 2011 Dec;104(3):333-40. doi: 10.1016/j.cmpb.2011.07.016. Epub 2011 Oct 11.

PMID:
21996029
20.

A Bivariate Mixed-Effects Location-Scale Model with application to Ecological Momentary Assessment (EMA) data.

Pugach O, Hedeker D, Mermelstein R.

Health Serv Outcomes Res Methodol. 2014 Dec;14(4):194-212.

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