Results 31 to 40 of about 292,203 (329)

EM Estimation for Zero- and k-Inflated Poisson Regression Model

open access: yesComputation, 2021
Count data with excessive zeros are ubiquitous in healthcare, medical, and scientific studies. There are numerous articles that show how to fit Poisson and other models which account for the excessive zeros. However, in many situations, besides zero, the
Monika Arora, N. Rao Chaganty
doaj   +1 more source

Mean-parametrized Conway-Maxwell-Poisson regression models for dispersed counts

open access: yes, 2017
Conway-Maxwell-Poisson (CMP) distributions are flexible generalizations of the Poisson distribution for modelling overdispersed or underdispersed counts.
Huang, Alan
core   +1 more source

Unweighted regression models perform better than weighted regression techniques for respondent-driven sampling data: results from a simulation study [PDF]

open access: yes, 2019
Background: It is unclear whether weighted or unweighted regression is preferred in the analysis of data derived from respondent driven sampling. Our objective was to evaluate the validity of various regression models, with and without weights and with ...
Avery, Lisa   +5 more
core   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri   +7 more
wiley   +1 more source

Improved log-Gaussian approximation for over-dispersed Poisson regression: Application to spatial analysis of COVID-19.

open access: yesPLoS ONE, 2022
In the era of open data, Poisson and other count regression models are increasingly important. Still, conventional Poisson regression has remaining issues in terms of identifiability and computational efficiency.
Daisuke Murakami, Tomoko Matsui
doaj   +1 more source

Trends in Dermatopolymyositis Mortality, 1999–2022: A Nationwide Population‐Based Study, United States

open access: yesArthritis Care &Research, EarlyView.
We report the national burden of dermatopolymyositis mortality over the past quarter century using the US national vital statistics data. Age‐standardized mortality rates for dermatopolymyositis decreased at an annual rate of 3.8% each year, which was higher than the annual percent decrease for deaths from all other causes.
Elizabeth Matz, Ram R. Singh
wiley   +1 more source

Modelling fertility levels in Nigeria using Generalized Poisson regression-based approach

open access: yesScientific African, 2020
The rapid increase in total children ever born without a proportionate growth in the Nigerian economy has been a major concern. The total children ever born, being a count data, requires applying an appropriate regression model.
Jecinta U. Ibeji   +3 more
doaj   +1 more source

Virtual or In‐Person: Does It Matter? Comparing Pain, Function, Quality of Life, Self‐Efficacy, and Physical Function Outcomes of Virtual, Hybrid, and In‐Person Education and Exercise Program Participants

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to determine if program format (in‐person, virtual, or hybrid) results in differences in 3‐month outcomes of pain, function, quality of life, self‐efficacy, and chair stands in a hip/knee osteoarthritis‐management program. Methods A secondary analysis of the Good Life with osteoArthritis in Denmark (GLA:D) Canada database was
Jill Van Damme   +7 more
wiley   +1 more source

Zero to k Inflated Poisson Regression Models with Applications

open access: yesJournal of Statistical Theory and Applications (JSTA), 2023
In the count data set, the frequency of some points may occur more than expected under the standard data analysis models. Indeed, in many situations, the frequencies of zero and of some other points tend to be higher than those of the Poisson.
Hadi Saboori, Mahdi Doostparast
doaj   +1 more source

POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF TUBERCULOSIS CASES IN JAVA

open access: yesBarekeng, 2023
Tuberculosis is an infectious disease and one of the world's top 10 highest causes of mortality in Indonesia. Based on this fact, it is necessary to study what factors affect number of tuberculosis cases.
Yekti Widyaningsih   +1 more
doaj   +1 more source

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