Literature DB >> 16401257

Statistical issues arising in the Women's Health Initiative.

Ross L Prentice1, Mary Pettinger, Garnet L Anderson.   

Abstract

A brief overview of the design of the Women's Health Initiative (WHI) clinical trial and observational study is provided along with a summary of results from the postmenopausal hormone therapy clinical trial components. Since its inception in 1992, the WHI has encountered a number of statistical issues where further methodology developments are needed. These include measurement error modeling and analysis procedures for dietary and physical activity assessment; clinical trial monitoring methods when treatments may affect multiple clinical outcomes, either beneficially or adversely; study design and analysis procedures for high-dimensional genomic and proteomic data; and failure time data analysis procedures when treatment group hazard ratios are time dependent. This final topic seems important in resolving the discrepancy between WHI clinical trial and observational study results on postmenopausal hormone therapy and cardiovascular disease.

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Year:  2005        PMID: 16401257     DOI: 10.1111/j.0006-341X.2005.454_1.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  19 in total

1.  Estimating causal effects from observational data with a model for multiple bias.

Authors:  Michael Höfler; Roselind Lieb; Hans-Ulrich Wittchen
Journal:  Int J Methods Psychiatr Res       Date:  2007       Impact factor: 4.035

2.  Evaluating Community-Based Translational Interventions Using Historical Controls: Propensity Score vs. Disease Risk Score Approach.

Authors:  Luohua Jiang; Shuai Chen; Janette Beals; Juned Siddique; Richard F Hamman; Ann Bullock; Spero M Manson
Journal:  Prev Sci       Date:  2019-05

Review 3.  Changing concepts: Menopausal hormone therapy and breast cancer.

Authors:  Rowan T Chlebowski; Garnet L Anderson
Journal:  J Natl Cancer Inst       Date:  2012-03-16       Impact factor: 13.506

4.  Association of Menopausal Hormone Therapy With Breast Cancer Incidence and Mortality During Long-term Follow-up of the Women's Health Initiative Randomized Clinical Trials.

Authors:  Rowan T Chlebowski; Garnet L Anderson; Aaron K Aragaki; JoAnn E Manson; Marcia L Stefanick; Kathy Pan; Wendy Barrington; Lewis H Kuller; Michael S Simon; Dorothy Lane; Karen C Johnson; Thomas E Rohan; Margery L S Gass; Jane A Cauley; Electra D Paskett; Maryam Sattari; Ross L Prentice
Journal:  JAMA       Date:  2020-07-28       Impact factor: 56.272

5.  Observational and clinical trial findings on the comparative effectiveness of diabetes drugs showed agreement.

Authors:  James H Flory; Alvin I Mushlin
Journal:  J Clin Epidemiol       Date:  2014-11-26       Impact factor: 6.437

6.  The hazards of hazard ratios.

Authors:  Miguel A Hernán
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

7.  Data analysis methods and the reliability of analytic epidemiologic research.

Authors:  Ross L Prentice
Journal:  Epidemiology       Date:  2008-11       Impact factor: 4.822

8.  Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease.

Authors:  Miguel A Hernán; Alvaro Alonso; Roger Logan; Francine Grodstein; Karin B Michels; Walter C Willett; Joann E Manson; James M Robins
Journal:  Epidemiology       Date:  2008-11       Impact factor: 4.822

9.  Improved logrank-type tests for survival data using adaptive weights.

Authors:  Song Yang; Ross Prentice
Journal:  Biometrics       Date:  2009-04-13       Impact factor: 2.571

10.  Robust best linear estimator for Cox regression with instrumental variables in whole cohort and surrogates with additive measurement error in calibration sample.

Authors:  Ching-Yun Wang; Xiao Song
Journal:  Biom J       Date:  2016-08-22       Impact factor: 2.207

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