Results 21 to 30 of about 22,911 (304)

Adjusting for overdispersion in piecewise exponential regression models to estimate excess mortality rate in population-based research

open access: yesBMC Medical Research Methodology, 2016
Background In population-based cancer research, piecewise exponential regression models are used to derive adjusted estimates of excess mortality due to cancer using the Poisson generalized linear modelling framework.
Miguel Angel Luque-Fernandez   +5 more
doaj   +1 more source

Modelling zero-truncated overdispersed antenatal health care count data of women in Bangladesh.

open access: yesPLoS ONE, 2020
Overdispersion in count data analysis is very common in many practical fields of health sciences. Ignorance of the presence of overdispersion in such data analysis may cause misleading inferences and thus lead to incorrect interpretations of the results.
Zakir Hossain   +3 more
doaj   +1 more source

Overdispersion study of poisson and zero-inflated poisson regression for some characteristics of the data on lamda, n, p

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2016
Poisson distribution is one of discrete distribution that is often used in modeling of rare events. The data obtained in form of counts with non-negative integers. One of analysis that is used in modeling count data is Poisson regression.
Lili Puspita Rahayu   +2 more
doaj   +1 more source

Sensory difference tests: Overdispersion and warm-up

open access: yes, 2021
For sensory difference tests, one way, but not the only way, of dealing with the problem of overdispersion is to use a beta-binomial analysis. Commonly, binomial statistical analyses are used for these methods and they assume that the sensitivity of the ...
이혜성
core   +1 more source

Analysis of Longitudinal Binomial Data with Positive Association between the Number of Successes and the Number of Failures: An Application to Stock Instability Study

open access: yesEntropy, 2022
Numerous methods have been developed for longitudinal binomial data in the literature. These traditional methods are reasonable for longitudinal binomial data with a negative association between the number of successes and the number of failures over ...
Xiaolei Zhang   +3 more
doaj   +1 more source

Quantifying overdispersion in bird data [PDF]

open access: yes, 2017
The statistical modelling of count data permeates the discipline of ecology. Such data often exhibit overdispersion compared with a standard Poisson distribution, so that the variance of the counts is greater than that of the mean.
Sheridan, Helen   +5 more
core   +1 more source

PENERAPAN REGRESI ZERO-INFLATED NEGATIVE BINOMIAL (ZINB) UNTUK PENDUGAAN KEMATIAN ANAK BALITA

open access: yesE-Jurnal Matematika, 2013
One method of regression analysis used to analyze the count data is Poisson regression. Poisson regression requires that the mean value equal to the value of variance (equidispersion).
NI MADE SEKARMINI   +2 more
doaj   +1 more source

Anthelmintic Treatment and the Stability of Parasite Distribution in Ruminants

open access: yesAnimals, 2023
Parasites are generally overdispersed among their hosts, with far-reaching implications for their population dynamics and control. The factors determining parasite overdispersion have long been debated.
Eric R. Morgan   +4 more
doaj   +1 more source

On the Overdispersed Molecular Clock [PDF]

open access: yesGenetics, 1987
ABSTRACT Rates of molecular evolution at some loci are more irregular than described by simple Poisson processes. Three situations under which molecular evolution would not follow simple Poisson processes are reevaluated from the viewpoint of the neutrality hypothesis: (i) concomitant or multiple substitutions in a gene, (ii) fluctuating
openaire   +2 more sources

PERBANDINGAN REGRESI BINOMIAL NEGATIF DAN REGRESI GENERALISASI POISSON DALAM MENGATASI OVERDISPERSI (Studi Kasus: Jumlah Tenaga Kerja Usaha Pencetak Genteng di Br. Dukuh, Desa Pejaten)

open access: yesE-Jurnal Matematika, 2014
Poisson regression is a nonlinear regression that is often used to model count response variable and categorical, interval, or count regressor. This regression assumes equidispersion, i.e., the variance equals the mean.
NI MADE RARA KESWARI   +2 more
doaj   +1 more source

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