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For each of the four dependent variables moderate and vigorous PA in summer and winter was considered separately by a nominal logistic model.
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In a nominal logistic regression model, high discomfort was associated with gestures requiring a flexed wrist, discordant adjacent fingers, or extended fingers.
To test for differences in TB states between wild type-infected and P2-TC-infected tissue, a nominal logistic model was used since three parameters were analyzed.
For each phase, a nominal logistic regression using "host", "foreign/local" and their interaction as factors and infectivity as variable was performed.
We used a nominal logistic regression model to determine whether intensity at emergence was a significant predictor of whether resistance was present in the mature damselfly population each year.
Evaluation of independent factors predicting disease-specific recurrence was conducted by nominal logistic regression analysis.
A multiple nominal logistic regression model revealed that male sex, low M-value and high physical exercise (p-values <0.05) predicted development of IGT/T2DM.
Multivariable correlations were analysed by either least squares or nominal logistic regression analysis as appropriate.
In parallel, treating fertility as a binary result, we performed nominal logistic regression on the same dataset.
Following previous work [ 28], we first estimated the probability in each of four categories of the interaction (diabetes Yes/No by block face/housing condition Fair/Poor vs. Good/Excellent) for each individual using a nominal multinomial logistic regression model.
The table shows the nominal logistic regression for the proportion of (a) mosquitoes with detectable viral RNA in their bodies (thorax+abdomen) and (b) infected mosquitoes (excluding uninfected) with a disseminated infection in their head/legs (determined by FFA in Vero cells) as a function of mosquito isofemale families, virus isolates, experimental blocks, and their interactions.
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