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Because those furs were primarily marketed to women, most of the campaign's models were female stars of stage and screen.
Factors independently associated with MHS in multivariate models were female gender, increasing negative life events, a previous psychiatric history, and major depressive disorder.
The variables common to all models were female gender, secondary CVD, diabetes duration, and current smoking, which were associated with significantly lower values.
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My role models are female, though: my grandmas.
Another example in line with the predictions of these state-dependent models is female sticklebacks, Gasterosteus aculeatus.
In multivariate models, being female was associated with the range of social and emotional well-being outcomes as were experiences of discrimination.
Significant independent risk factors for developing an ICU-acquired UTI as determined by a logistic regression model were female gender (adjusted odds ratio [ORadj], 2.31; 95% confidence interval [CI], 1.48-3.59) anaturalralogarithmicic transformation of ICU length of stay (ORadj, 3.96; 95% CI, 3.02-5.17).
The straightforward interpretation is that even controlling for the other factors in the model, being female was associated with much lower odds of reaching the upper quartile of the income distribution.
Furthermore, in our final multivariable model, being female was borderline significantly associated with HIV infection.
But women are more prone to having other risk factors (e.g. older age) so that in the multivariable model being female independently predicts a lower risk.
Background characteristics associated with a lower matching likelihood in a multivariable model are female gender, old age, and low socioeconomic status (being below the highest wealth quintile).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com