Studying the effect of exposure or intervention on a dichotomous outcome is very common in
medical research. Logistic regression (LR) is often used to determine such association …

Relative risks (RRs) and prevalence ratios (PRs) are measures of association that are more
intuitively interpretable than odds ratios (ORs). Many health science studies report OR …

BACKGROUND: Binary outcomes are common in prospective studies such as randomized
controlled trials and cohort studies. Logistic regression is the most popular regression model …

The relative risk is a clinically important measure of the effect of treatment on binary
outcomes in randomized controlled trials (RCTs). An adjusted relative risk can be estimated …

Various effect measures are available for quantifying the relationship between an
intervention or a risk factor and an outcome, such as the risk ratio and the odds ratio. Odds …

OBJECTIVE: Logistic regression models are frequently used in cohort studies to determine
the association between treatment and dichotomous outcomes in the presence of …

The relative risk or prevalence ratio is a natural and familiar summary of association
between a binary outcome and an exposure or intervention. For rare events, the relative risk …

In medical and epidemiological studies, the odds ratio is a commonly applied measure to
approximate the relative risk or risk ratio in cohort studies. It is well known tha such an …

OBJECTIVE: The estimation of the number needed to be exposed (NNE) with adjustment for
covariates can be performed by inverting the corresponding adjusted risk difference. The …

Relative risk is usually the parameter of interest in epidemiologic and medical studies. In this
paper, the author proposes a modified Poisson regression approach (ie, Poisson regression …