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Differences between primary and secondary outcome variables between baseline and the follow up points will be tested using generalized estimating equation (GEE) models.
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Then, for each group of seeds, the effects of landscape, habitat, and their interaction (L × H) on seed deposition were tested using Generalized Linear Models (GLMs) on a factorial ANOVA-type design with binomial errors distribution and logit-link function.
Statistical differences in survival between cohorts can be tested using the log-rank test or generalized Wilcoxon test.
The efficacy of the HIV/STI risk-reduction intervention averaged over the 6- and 12-month follow-ups compared with the health-promotion intervention was tested using logistic generalized-estimating-equations (GEE), adjusting for the longitudinal repeated measurements on participants [ 59, 60] and controlling for baseline measure of the outcome.
The influence of the number of mutations in infections at enrolment on the proportion of infected mosquitoes at day 14 was tested using logistic regression models with Generalized Estimating Equations (GEE); the influence of the number of mutations in infections at enrolment on oocyst densities in mosquitoes was determined using negative binomial regression.
Generalized joint hypermobility was tested using the Beighton Hypermobility Scale [ 38].
To generalize these results, TSE was tested using a number of different P-lacZ target insertions scattered through the genome.
Haplotypes were tested using "haplo.stats 1.3.0" from R. Here, haplotype inference is performed with a standard Expectation Maximization method and the association is tested with a Generalized Linear Model, which uses haplotypes posterior probabilities as weights.
Haplotypes were tested using "haplo.stats 1.3.0" software from R. Here, haplotype inference is performed with a standard Expectation Maximization method and the association is tested with a Generalized Linear Model, which uses haplotypes posterior probabilities as weights.
Difference in incident MCI and dementia diagnoses between intervention and control practices will be tested for using Generalized Estimating Equations (GEE) analysis.
The proposed model was tested along with the literature models using crude oil from different areas in North America (USDOE 1995) to test its ability to be generalized.
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