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Results: 1 to 20 of 102

Similar articles for PubMed (Select 21457191)

1.

Outcome-dependent sampling from existing cohorts with longitudinal binary response data: study planning and analysis.

Schildcrout JS, Heagerty PJ.

Biometrics. 2011 Dec;67(4):1583-93. doi: 10.1111/j.1541-0420.2011.01582.x. Epub 2011 Apr 2.

2.

Outcome vector dependent sampling with longitudinal continuous response data: stratified sampling based on summary statistics.

Schildcrout JS, Garbett SP, Heagerty PJ.

Biometrics. 2013 Jun;69(2):405-16. doi: 10.1111/biom.12013. Epub 2013 Feb 14.

3.

On outcome-dependent sampling designs for longitudinal binary response data with time-varying covariates.

Schildcrout JS, Heagerty PJ.

Biostatistics. 2008 Oct;9(4):735-49. doi: 10.1093/biostatistics/kxn006. Epub 2008 Mar 27.

4.

Outcome-dependent sampling for longitudinal binary response data based on a time-varying auxiliary variable.

Schildcrout JS, Mumford SL, Chen Z, Heagerty PJ, Rathouz PJ.

Stat Med. 2012 Sep 28;31(22):2441-56. doi: 10.1002/sim.4359. Epub 2011 Nov 16.

5.

Statistical inference for a two-stage outcome-dependent sampling design with a continuous outcome.

Zhou H, Song R, Wu Y, Qin J.

Biometrics. 2011 Mar;67(1):194-202. doi: 10.1111/j.1541-0420.2010.01446.x.

6.

Analysis of longitudinal multinomial outcome data.

Li YP, Chan W.

Biom J. 2006 Apr;48(2):319-26.

PMID:
16708781
8.

Likelihood-based analysis of longitudinal data from outcome-related sampling designs.

Neuhaus JM, Scott AJ, Wild CJ, Jiang Y, McCulloch CE, Boylan R.

Biometrics. 2014 Mar;70(1):44-52. doi: 10.1111/biom.12108. Epub 2013 Nov 21.

9.

Modeling time-varying effects with generalized and unsynchronized longitudinal data.

Şentürk D, Dalrymple LS, Mohammed SM, Kaysen GA, Nguyen DV.

Stat Med. 2013 Jul 30;32(17):2971-87. doi: 10.1002/sim.5740. Epub 2013 Jan 18.

10.

Evaluating heterogeneity in indoor and outdoor air pollution using land-use regression and constrained factor analysis.

Levy JI, Clougherty JE, Baxter LK, Houseman EA, Paciorek CJ; HEI Health Review Committee.

Res Rep Health Eff Inst. 2010 Dec;(152):5-80; discussion 81-91.

PMID:
21409949
11.

Likelihood-based methods for regression analysis with binary exposure status assessed by pooling.

Lyles RH, Tang L, Lin J, Zhang Z, Mukherjee B.

Stat Med. 2012 Sep 28;31(22):2485-97. doi: 10.1002/sim.4426. Epub 2012 Mar 13.

12.

Exposure assessment in cohort studies of childhood asthma.

Arrandale VH, Brauer M, Brook JR, Brunekreef B, Gold DR, London SJ, Miller JD, Özkaynak H, Ries NM, Sears MR, Silverman FS, Takaro TK.

Environ Health Perspect. 2011 May;119(5):591-7. doi: 10.1289/ehp.1002267. Epub 2010 Nov 16.

13.

Sample size and power calculations based on generalized linear mixed models with correlated binary outcomes.

Dang Q, Mazumdar S, Houck PR.

Comput Methods Programs Biomed. 2008 Aug;91(2):122-7. doi: 10.1016/j.cmpb.2008.03.001. Epub 2008 May 6.

14.

A case-cohort design for assessing covariate effects in longitudinal studies.

Pfeiffer RM, Ryan L, Litonjua A, Pee D.

Biometrics. 2005 Dec;61(4):982-91.

PMID:
16401271
15.

Overview of the epidemiology methods and applications: strengths and limitations of observational study designs.

Colditz GA.

Crit Rev Food Sci Nutr. 2010;50 Suppl 1:10-2. doi: 10.1080/10408398.2010.526838.

16.

Estimation in regression models for longitudinal binary data with outcome-dependent follow-up.

Fitzmaurice GM, Lipsitz SR, Ibrahim JG, Gelber R, Lipshultz S.

Biostatistics. 2006 Jul;7(3):469-85. Epub 2006 Jan 20.

18.

A note on the use of unbiased estimating equations to estimate correlation in analysis of longitudinal trials.

Sun W, Shults J, Leonard M.

Biom J. 2009 Feb;51(1):5-18. doi: 10.1002/bimj.200710493.

PMID:
19197953
19.

The London low emission zone baseline study.

Kelly F, Armstrong B, Atkinson R, Anderson HR, Barratt B, Beevers S, Cook D, Green D, Derwent D, Mudway I, Wilkinson P; HEI Health Review Committee.

Res Rep Health Eff Inst. 2011 Nov;(163):3-79.

PMID:
22315924
20.

Statistical methods for longitudinal and clustered designs with binary responses.

Neuhaus JM.

Stat Methods Med Res. 1992;1(3):249-73. Review.

PMID:
1341660
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