Literature DB >> 22969022

Novel statistical methodology for analyzing longitudinal biomarker data.

Paul S Albert1, Enrique F Schisterman.   

Abstract

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Year:  2012        PMID： 22969022      PMCID： PMC3462351          DOI： 10.1002/sim.5500

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


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  11 in total

1.  Semiparametric regression for periodic longitudinal hormone data from multiple menstrual cycles.

Authors:  D Zhang; X Lin; M Sowers
Journal:  Biometrics       Date:  2000-03       Impact factor: 2.571

2.  Sufficient dimension reduction for longitudinally measured predictors.

Authors:  Ruth M Pfeiffer; Liliana Forzani; Efstathia Bura
Journal:  Stat Med       Date:  2011-12-09       Impact factor: 2.373

3.  A latent autoregressive model for longitudinal binary data subject to informative missingness.

Authors:  Paul S Albert; Dean A Follmann; Shaohua A Wang; Edward B Suh
Journal:  Biometrics       Date:  2002-09       Impact factor: 2.571

4.  A Bayesian order-restricted model for hormonal dynamics during menstrual cycles of healthy women.

Authors:  Anindya Roy; Michelle Danaher; Sunni L Mumford; Zhen Chen
Journal:  Stat Med       Date:  2011-12-07       Impact factor: 2.373

5.  Pairwise fitting of mixed models for the joint modeling of multivariate longitudinal profiles.

Authors:  Steffen Fieuws; Geert Verbeke
Journal:  Biometrics       Date:  2006-06       Impact factor: 2.571

6.  Effect of daily fiber intake on reproductive function: the BioCycle Study.

Authors:  Audrey J Gaskins; Sunni L Mumford; Cuilin Zhang; Jean Wactawski-Wende; Kathleen M Hovey; Brian W Whitcomb; Penelope P Howards; Neil J Perkins; Edwina Yeung; Enrique F Schisterman
Journal:  Am J Clin Nutr       Date:  2009-08-19       Impact factor: 7.045

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

Authors:  Jonathan S Schildcrout; Patrick J Heagerty
Journal:  Biostatistics       Date:  2008-03-27       Impact factor: 5.899

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

Authors:  Jonathan S Schildcrout; Sunni L Mumford; Zhen Chen; Patrick J Heagerty; Paul J Rathouz
Journal:  Stat Med       Date:  2011-11-16       Impact factor: 2.373

9.  Characterizing daily urinary hormone profiles for women at midlife using functional data analysis.

Authors:  Peter M Meyer; Scott L Zeger; Siobán D Harlow; Maryfran Sowers; Sybil Crawford; Judith L Luborsky; Imke Janssen; Daniel S McConnell; John F Randolph; Gerson Weiss
Journal:  Am J Epidemiol       Date:  2007-01-30       Impact factor: 4.897

10.  Cadmium, lead, and mercury in relation to reproductive hormones and anovulation in premenopausal women.

Authors:  Anna Z Pollack; Enrique F Schisterman; Lynn R Goldman; Sunni L Mumford; Paul S Albert; Robert L Jones; Jean Wactawski-Wende
Journal:  Environ Health Perspect       Date:  2011-05-04       Impact factor: 9.031
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  2 in total

Review 1.  Longitudinal omics modeling and integration in clinical metabonomics research: challenges in childhood metabolic health research.

Authors:  Peter Sperisen; Ornella Cominetti; François-Pierre J Martin
Journal:  Front Mol Biosci       Date:  2015-08-05

2.  Pooling Bio-Specimens in the Presence of Measurement Error and Non-Linearity in Dose-Response: Simulation Study in the Context of a Birth Cohort Investigating Risk Factors for Autism Spectrum Disorders.

Authors:  Karyn Heavner; Craig Newschaffer; Irva Hertz-Picciotto; Deborah Bennett; Igor Burstyn
Journal:  Int J Environ Res Public Health       Date:  2015-11-19       Impact factor: 3.390
  2 in total

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