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Hales et al. [ 33] developed an empirical model fitting logistic regression and modelled dengue outbreak (presence/absence) considering climate baseline data for the period 1961 1990.
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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 used the Rpart package for recursive partitioning [ 11] and the generalized linear model function for fitting logistic regression models within the statistical environment S-PLUS (commercially available software, Insightful Corporation, Seattle, USA) [ 12].
Although attempts were made to rectify the probability estimates for models such as SVM (i.e., fitting logistic models to output and aggregating individual rankings by voting), the distribution of scores still depends on individual algorithms.
†P values obtained by fitting logistic regression models adjusted for age, and performing Wald tests on model parameters.
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.
Variables that were significant in the univariate analysis were used as candidates for fitting logistic regression models.
Interaction, or modification of genetic associations by other risk factors, was assessed for each SNP/risk factor combination by fitting logistic regression models.
To justify the grid model fitting, the ordinal logistic model was also fitted for LBW1 and for LBW2, separately.
Hosmer and Lemeshow tests were performed to evaluate the model fitting for all logistic regressions, all models had low chi-square values and p values for all the models were > 0.05.
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