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Using a bidirectional control sampling approach, the results from a conditional logistic regression model controlling for weather conditions showed that the nonaccidental mortality associated with a 50-ppb increment over a 3-day moving average of SO(2) concentrations, including the concurrent day and preceding 2 days, was 1.023 [95% confidence interval (CI), 1.016-1.084].
An age-adjusted estimate of the odds ratio of breast cancer was obtained from a conditional logistic regression model with case-control status as the outcome and the epigenome-wide methylation measurement as continuous predictor.
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#from fitting a conditional logistic regression model (continuous variables in log scale).
A conditional logistic regression model was used to identify risk factors for CS-MRSA infection.
For our analysis, we used a conditional logistic regression model to permit stratification by site.
Matched analyses were conducted by using a conditional logistic regression model.
We then compared exposed children to unexposed children using a conditional logistic regression model.
As an additional sensitivity analysis, a conditional logistic regression model was used that included propensity scores.
A univariate and a multivariate conditional logistic regression model were run for each stratum.
Risk factors with a p-value <0.2 were included in a multivariate conditional logistic regression model.
All exposures with a variance inflation factor >5 were excluded from the final conditional logistic regression model.
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