The current study is the first of which we are aware to assess separately for male and female VHA patients 1) the association between PTSD and non-fatal ISH in a large, longitudinal sample while adjusting for several potential confounders, and 2) the interaction between PTSD and depression in predicting non-fatal ISH.
The aim of this study was to investigate the dementia risk associated with self-reported alcohol consumption using a large population-based sample while adjusting for age, sex, education, hypertension, BMI, smoking, and symptoms of depression.
Model selection resulted in a final model that included community type and 7-day cumulative precipitation two weeks prior to sampling, while adjusting for dog density.
This alternative is known to underestimate the true variability with moderately sized samples, while adjusting the scale parameter tends to overestimate it.
14 15 The CFI and TLI assess model fit by examining the discrepancy between the data and the hypothesised model while adjusting for sample size.
Given the nature of the research question and that the NIS database has a sample design, Drs. Guller and Pietrobon opted for an approach involving multiple and logistic regression models while adjusting for sampling weights, strata, and clusters.
To identify significant FGM clusters we merged relevant household data, while adjusting for sampling weights, to obtain aggregated county level indicators of the proportion of women undergoing circumcision, and the proportion intending to have their eldest daughter circumcised.
By considering all possible combinations of populations, this approach makes it sensible to use Equation (4) to obtain the proportion of alleles present in a particular combination, while adjusting for unequal sample sizes among populations.
Therefore, in addition to estimating the strength of relationships in the total analytic sample, we performed analyses stratified by gender, while adjusting for demographic and employment variables, depression at baseline, past redundancies and long-term sickness.
Analysis of variance and chi-square tests were used to evaluate differences in prevalence of continuous and categorical risk factors, respectively, among the five study groups while adjusting for the complex sampling design in NHANES III.
In analysis four we used multivariable logistic regression to analyze the difference in SRHS between the cohorts while adjusting for covariates in the trimmed sample.
