Statistical adjustment for a measure of healthy lifestyle doesn't yield the truth about hormone therapy
Diana B. Petitti, Wansu Chen

TL;DR
This study re-analyzed observational data on hormone therapy and cardiovascular risks, finding that statistical adjustments for lifestyle factors did not fully align observational results with those from a large randomized trial.
Contribution
It demonstrates that standard statistical adjustments for lifestyle variables do not replicate the findings of randomized trials regarding hormone therapy and cardiovascular risk.
Findings
Adjustment for lifestyle factors did not change the risk estimates significantly.
Traditional confounder adjustment did not align observational results with RCT findings.
Adding selected lifestyle variables moved estimates closer but did not fully replicate RCT outcomes.
Abstract
The Women's Health Initiative randomized clinical trial of hormone therapy found no benefit of hormones in preventive cardiovascular disease, a finding in striking contrast with a large body of observational research. Understanding whether better methodology and/or statistical adjustment might have prevented the erroneous conclusions of observational research is important. This is a re-analysis of data from a case-control study examining the relationship of postmenopausal hormone therapy and the risks of myocardial infarction (MI) and ischemic stroke in which we reported no overall increase or decrease in the risk of either event. Variables measuring health behavior/lifestyle that are not likely to be causally with the risks of MI and stroke (e.g., sunscreen use) were included in multivariate analysis along with traditional confounders (age, hypertension, diabetes, smoking, body mass…
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