Not exact matches
The above classification of MPs then formed the basis of the ordinal
logistic regression analyses [5] used to determine common traits
among the out camp.
A multivariable
logistic regression analysis was conducted to evaluate factors independently associated with the prescription of other psychotropic drug classes
among patients already using antipsychotics.
Baseline differences
among conditions were tested using
analyses of variance and
logistic regression.
Factors associated with nicotine dependence
among regular smokers according to the multivariate
logistic regression analysis (ORs with corresponding 95 % CI)
Multivariate
logistic regression analyses * assessing impact of unawareness of the health consequences of tobacco use on attitudes and behaviour towards tobacco control programmes
among school personnel from 29 African countries, 2006 — 2011 (n = 17 929)
The study involved administering all 3 sets of scales to a general population sample who were then interviewed by clinical interviewers blinded to screening scales scores and classified as having or not having SMI based on 12 - month prevalences of DSM - IV disorders, as assessed by the Structured Clinical Interview (SCID) for DSM - IV16 and scores on the GAF.1
Logistic regression analyses were then carried out to estimate the strength of associations between the screening scales and SMI using linear and nonlinear prediction equations that assumed either additive or multiplicative associations
among the different screening scales.