Results 61 to 70 of about 6,102,677 (302)
A Negative Binomial Regression Model of Student Absenteeism in the Principles of Microeconomics
We investigated the determinants of absenteeism in the Principles of Microeconomics at a rural state university in Pennsylvania. We apply Poisson statistics and a negative binomial of both Type 1 and 2 models to estimate absenteeism behavior.
Chen Chen, Shih-Shen Chen, Chin W. Yang
doaj +1 more source
Association Between Neurofilament Light Chain and Real‐World Ambulatory Function in Progressive MS
ABSTRACT Objective Neurofilament light chain (NfL) is a biomarker of neuroaxonal injury in multiple sclerosis (MS), yet associations with functional outcomes remain unclear. Longitudinal associations between serum NfL (sNfL) and daily step count (STEPS) from wearable devices were assessed in a large international progressive MS cohort.
Gabby B. Joseph +5 more
wiley +1 more source
Modeling tuberculosis in children under five using poisson and negative binomial regression
Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis. Indonesia is the country with the second highest number of tuberculosis cases after India.
Ahmad Fajri +3 more
doaj +1 more source
Estimating the impacts of lockdown on Covid-19 cases in Nigeria
The study examines the extent to which lockdown measures impact on COVID-19 confirmed cases in Nigeria. Six indicators of lockdown entailing retail and recreation, grocery and pharmacy, parks, transit stations, workplaces, and residential, are considered.
Kazeem Bello Ajide +2 more
doaj +1 more source
Purpose: Falls are the most common accidents in healthcare facilities, and timely intervention can have a positive effect on the hazards and trauma experienced by patients after a fall. This study determined the factors affecting the time taken to detect
Kyung Jin Hong, Jieun Kim
doaj +1 more source
ABSTRACT Objective To compare the incidence of diabetes mellitus and its associations with hospitalisation and mortality in adults with multiple sclerosis (MS) and matched controls. Methods Using English primary care data from the Clinical Practice Research Datalink, linked to hospital and mortality records, we matched adults with MS with up to 10 ...
Yolanda Lau +8 more
wiley +1 more source
Accurate inference in negative binomial regression
Negative binomial regression is commonly employed to analyze overdispersed count data. With small to moderate sample sizes, the maximum likelihood estimator of the dispersion parameter may be subject to a significant bias, that in turn affects inference on mean parameters.
Pagui, Euloge Clovis Kenne +2 more
openaire +2 more sources
ABSTRACT Background While autoimmune encephalitis (AE) outcomes vary, serostatus‐specific prognostic determinants and institutional clustering effects remain poorly characterized. We aimed to delineate the distinct prognostic architecture of AE, identifying serostatus‐specific risk factors and potential therapeutic windows.
Xiaohong Tang +17 more
wiley +1 more source
Goodness-of-fit tests and model diagnostics for negative binomial regression of RNA sequencing data. [PDF]
This work is about assessing model adequacy for negative binomial (NB) regression, particularly (1) assessing the adequacy of the NB assumption, and (2) assessing the appropriateness of models for NB dispersion parameters.
Gu Mi, Yanming Di, Daniel W Schafer
doaj +1 more source
Negative Binomial Regression Analyses Predicting Suicidal Ideation.
ap < .001bp < .05Negative Binomial Regression Analyses Predicting Suicidal Ideation.
Paul S. F. Yip (286192) +3 more
core +1 more source

