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We assessed the probability of detecting at least one orangutan on an expedition by fitting logistic regression models.
In the analyses of prevalence, this was done by fitting logistic regression models to the data on apparent prevalence.
In this regard, we plan to validate the predictions of our model by fitting logistic regression analysis to the scores generated by the TTD.
We obtained contemporary 1918-like mortalities by fitting logistic regression models to published 1918 and average 1913 17 rates [13], calculating age-specific ratios for the groups we modeled, <1, 1 4, 5 9,.., 80 84, 85+ years (Figure 2a), and multiplying them by the 2005 rates.
†P values obtained by fitting logistic regression models adjusted for age, and performing Wald tests on model parameters.
Interaction, or modification of genetic associations by other risk factors, was assessed for each SNP/risk factor combination by fitting logistic regression models.
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This approach could be extended to the setting of a time-varying exposure with a time-varying exposure-outcome association, by fitting logistic regressions within sub-intervals of each time period of interest for the time-varying association and obtaining a pooled estimate across sub-intervals within each time period, using current values of the time-varying exposure in each regression.
Assuming the logit of the prevalence of a given respiratory symptom to be proportional to C d), the parameter σd can be estimated by iteratively fitting logistic regression models with stepwise improved values of σd until a minimum of the likelihood function is reached.
The value returned by the fitted logistic regression for each of the true data points is treated as the probability of a point to be sampled by a distribution producing the analyzed dataset.
This dependence can be visualized graphically by considering only those fragments in which at least 6 transformants were analyzed so as to minimize sampling error or by the fitted logistic regression of all data, including those with limited replicas.
Data were also extracted from the control groups of 25 challenge trials captured by the review, to fit logistic regression models of Salmonella infection in pigs, using odds of infection as the outcome measure.
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