OBJECTIVE This study aimed to identify possible associations of the presence or absence of posttrauma sequelae with the factors inherent to the traumatized tooth and treatment. MATERIALS AND METHODS This retrospective study was performed through the evaluation of records and radiographs of a center of reference for dental trauma between January 2008 and December 2014. The factors were analyze...

We set out a generalized linear model framework for the synthesis of data from randomized controlled trials. A common model is described, taking the form of a linear regression for both fixed and random effects synthesis, which can be implemented with normal, binomial, Poisson, and multinomial data. The familiar logistic model for meta-analysis with binomial data is a generalized linear model w...

Methods The horse checklist for official animal welfare control contains 45 checkpoints (CP) of which CP8 pertains to the horses’ body condition. For the years 2010-2013, prevalence of non-compliance with CP8 and 95% confidence intervals (CI) were estimated using the exact binomial distribution. Associations with risk factors were estimated using logistic regression and expressed as odds ratios...

This paper studies financial behaviors of households in China’s Beijing urban area. Demographic and psychometrical data were collected through questionnaire surveys and analyzed by logistic regression and Tobit regression methods. Several important factors which affect the willingness of the investigated households to participate in investment activities and their portfolio allocation decisions...

BACKGROUND Binary outcomes are common in prospective studies such as randomized controlled trials and cohort studies. Logistic regression is the most popular regression model for binary outcomes. Logistic regression yields an odds ratio that approximates the risk ratio when the risk of outcome is low. A consensus has been reached in an extensive argument in much of the literature that the risk ...