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Lastly, we estimate hazard models, implemented using logistic regression, to illustrate the relationship between a pregnancy scare and subsequent unintended pregnancy (Table 4).
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We implemented feature selection using logistic regression with adaptive LASSO.
The algorithm is implemented in three steps: Using logistic regression to build a model that maps performance parameters to the probability of failure.
Conditional analysis was performed using logistic regression implemented in PLINK v1.07 (40).
The statistical analyses were performed using logistic regression implemented in the SNPassoc (version 1.5) (Gonzalez et al. 2007) package in R (version 2.6.1; R Foundation for Statistical Computing, Vienna, Austria).
Association testing was performed using logistic regression implemented in PLINK and meta-analysis of Immunochip and validation summary statistics was performed, weighting SNPs by inverse-variance and assuming fixed effects, using the software package METAL.
For the genetic loci that displayed genome-wide allelic association with obesity, model-based tests were carried out to evaluate association of genotype with obesity using logistic regression implemented in PLINK [ 29].
The multivariable results presented here were generated using logistic regression implemented within the Stata's svy set function in order to control for the survey design in our analysis as well as to control for the clustering effect due to similarity of women seeking care in the same facility than those seeking in different facilities.
Interaction effects in the additive and multiplicative methods were tested using logistic regression implemented in a JAVA coded software designed to handle large datasets (coded in our own lab and available upon request) which is a modified version of the GEIRA software [ 42].
Analysis of single-marker effect was performed assuming both a dominant and an additive (data not shown) genetic model, considering the most frequent allele as a reference category, and using logistic regression implemented in SNPassoc (version 1.5-1) fRom R statistical software, version 2.6.1 (R Development Core Team 2007).
Genotypic association of SNPs with susceptibility to malaria was analyzed using logistic regression models implemented in the SNPassoc package [54] for the R statistical software (version 2.7.0).
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