Data management and analysis were done using STATA-17 software. The outcome variable (birth weight) has three categories; LBW, normal and macrosomia. A multilevel multinomial logistic regression model was fitted
The output table includes the fixed-effect portion of our model, the estimated cutpoints (because this is an ordered logistic model), and the estimated variance components. Also watchA tour of multilevel GLMs.
Multilevel mixed-effects interval regression Multilevel mixed-effects parametric survival model Nonlinear mixed-effects regression WatchMultilevel models for survey data in Stata. Background: What does multilevel mean? In multilevel data, observations—subjects, for want of a better term—can be divide...
Methods: A sample of 7291 women aged 15–49 was analysed using weighted multilevel logistic regression in Stata 17.0. Adjusted odds ratios (aOR) with 95% confidence intervals (CI) and a significance threshold of p < 0.05 were used to identify predictors of PTB. Results...
To identify factors associated with paid-for sex among men, we used a multilevel logistic regression model. A p value less than 0.05 was considered to indicate statistical significance at the 95% confidence interval (CI). In this study, 509 (5.6%) men were ever paid for sex. Men who ...
Stata J. 2023;3(1):32–46. Article Google Scholar Merlo J, Chaix B, Ohlsson H, Beckman A, Johnell K, Hjerpe P, Råstam L, Larsen K. A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate...
Two multilevel logistic regression models with random effect were constructed to determine change in psychic morbidity according to individual and contextual variables respectively. In the first model, the study period and predictor variables at the individual and socio-economic level were included, and ...
The questionnaire was double entered and edited into EpiData 3.1.version and then exported to STATA version 14 software packages for analysis. We applied multilevel binary logistic modeling to identify predictors of alcohol consumption during pregnancy. The units at a lower level were individuals (pre...
Diarrhea and its associated factors among children aged under five years in Madagascar, 2024: a multilevel logistic regression analysis Article Open access 21 October 2024 Contextual factors associated with diarrhea among under-five children in the Gambia: a multi-level analysis of population-based...
A multilevel multivariable multinomial logistic regression analysis was carried out to examine the effects of each predictor on the level of service utilization. The degree of association was reported using the adjusted relative risk ratio (aRRR) with a corresponding 95% confidence interval, and ...