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All models include year and industry dummy variables.
(constant) 4196 4307 4312 3875 All models include year fixed effects and entropy balancing weights.
All models include year and state fixed effects as well as educational attainment indicators, a binary variable indicating whether the woman works or not and a unmarried dummy variable.
We observed no survival differences between men and women in any of the models for cancers of colon, rectum, pancreas and bladder.> -wrap-foot> *All models include year of follow-up and period of diagnosis.
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Among adult coyotes, the best-supported models included year and resident effects.
Linear multilevel regression models included year of birth, household wealth, education, and area of residence, and accounted for clustering by primary sampling units and countries.
These statistical models included year as a random effect and the following fixed effects: linear through fourth order polynomial functions of month (to account for nonlinear fluctuations in temperature and rainfall), management regime (before or after contraception management), and two-way interactions with management regime.
All models included year of follow-up and period of diagnosis.
The other independent variables in these models included year, age, race, gender, and point of entry for hospitalization.
Moreover, models including year of follow-up and sex (both categorical variables) were fitted for subgroups by age to test for gender differences.
The initial models included year as a categorical covariate, but this was excluded from the final binary logistic regression (Table 4) as it did not contribute significantly to these models (P > 0.043).
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