Results 261 to 270 of about 3,733,122 (330)

A generalized Poisson regression analysis of determinants of early neonatal mortality in Ethiopia using 2019 Ethiopian mini demographic health survey. [PDF]

Sci Rep
Getaneh FB, Belete AG, Ayres A, Ayalew T, Muche A, Derseh L.   +5 more
europepmc   +1 more source

L‐Relationship between uncertainty and average seizure frequency in clinical trials of antiseizure medications

Epilepsia, EarlyView.
Abstract Objective Antiseizure medications are approved based on clinical trials that demonstrate their efficacy as measured by reductions in seizure frequency (SF). When designing these trials, trialists must select inclusion criteria where SF can be reliably measured to maintain statistical power.
Wesley T. Kerr, Neo Kok, Katherine N. McFarlane, Advith S. Reddy, Lavanya Biju, Jacqueline A. French, Daniel M. Goldenholz   +6 more
wiley   +1 more source

Number of tetanus toxoid injections before birth and associated factors among pregnant women in low and middle income countries: Negative binomial poisson regression. [PDF]

Hum Vaccin Immunother
Zegeye AF, Tamir TT, Mekonen EG, Ali MS, Gonete AT, Techane MA, Wassie M, Kassie AT, Ahmed MA, Tsega SS, Wassie YA, Tekeba B, Workneh BS.   +12 more
europepmc   +1 more source

Tweedie regression, or Poisson-Gamma regressions ?

Freakonometrics
openaire   +1 more source

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Developing robust ridge estimators for Poisson regression model

Concurrency and Computation, 2022
The Poisson regression model (PRM) is the standard statistical method of analyzing count data, and it is estimated by a Poisson maximum likelihood (PML) estimator.
M. R. Abonazel, I. Dawoud
semanticscholar   +1 more source

A Modified Poisson Regression Approach to Prospective Studies with Binary Data

American Journal of Epidemiology, 2004
Guangyong Zou
exaly   +2 more sources

On the ridge estimation of the Conway‐Maxwell Poisson regression model with multicollinearity: Methods and applications

Concurrency and Computation, 2021
In data analysis, count data modeling contributing a significant role. The Conway‐Maxwell Poisson (COMP) is one of the flexible count data models to deal over and under dispersion.
Faiza Sami, Muhammad Amin, M. M. Butt
semanticscholar   +1 more source

Profile monitoring for count data using Poisson and Conway-Maxwell-Poisson​ regression-based control charts under multicollinearity problem

Journal of Computational and Applied Mathematics, 2021
In this paper, we propose new process control charts for monitoring Poisson and Conway-Maxwell-Poisson (COM-Poisson) profiles with highly correlated variables.
Ulduz Mammadova, M. Özkale
semanticscholar   +1 more source

Poisson Regression

Beyond Multiple Linear Regression, 2021
Paul Roback, Julie Legler
openaire   +2 more sources