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These differences persisted after control for time, age, smoking rates, poverty, obesity, and physician supply.
We controlled for time, age, ethnicity and economic status for this model.
We used repeated measures models to assess differences between RECODE and usual care, correcting for time, age, gender, MRC dyspnoea score >2, baseline score and clustering of patients.
We examined longitudinal differences using generalized estimating equation linear regression models, controlling for time, age, sex, race, income, and intervention arm.
When controlling for time, age, educational attainment and HIV risk-related behaviour, fear of a positive test result remained important as a key barrier to testing.
CRP, WBC, and the proportion of patients with ≥ 1 SIRS criterion and modified SOFA score ≥ 1 decreased over time (P < 0.0001), but generalized linear mixed models showed no effect of statins (P = 0.98, 0.51, 0.55, and 0.25) when adjusted for time, age, sex, and Charlson score.
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In model 1 we simultaneously adjusted for calendar time, age, body mass index, smoking status, and race.
*Adjusts for calendar time, age, body mass index, race, smoking status, and smoking amount/duration, with never users as reference.
For the first time, age literally doesn't matter.
She thinks that this is because for "a long time age and death were taboo subjects in this country.
These models used robust SEs, clustering by respondent and adjusting for time point, age, sex, race, income, and intervention arm.
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CEO of Professional Science Editing for Scientists @ prosciediting.com