Those variables were analyzed using a logistic regression.
Single-nucleotide polymorphisms were tested for association using a logistic regression model adjusting for admixture proportions.
Study design: A case-control study was performed using a logistic regression model.
We analyzed the data using a logistic regression model and narrative analysis.
Study Design: Case (n=22)–control (n=170) study was performed using a logistic regression model.
The relationship between PCR parasite density and detectability by microscopy was modelled using a logistic regression model with a study-level random effect fitted using a Bayesian framework and Stan61.
Using a logistic regression model, we show that private truncating SNVs and rare, inherited CNVs are statistically independent risk factors for autism, with odds ratios of 1.11 (P = 0.0002) and 1.23 (P = 0.01), respectively.
a d, For each individual within the UK Biobank testing dataset, the predicted probability of disease was calculated using a logistic regression model with only the genome-wide polygenic score (GPS) as a predictor.
For each individual within the UK Biobank testing dataset, the predicted probability of disease was calculated using a logistic regression model with only the genome-wide polygenic score (GPS) as a predictor.
With BayeScan45, FST coefficients are partitioned into a population-specific component, common to all loci, and a locus-specific component shared by all the populations using a logistic regression.
Medication discontinuation was estimated using a logistic regression model.
