Results 11 to 20 of about 18,948 (296)

Control of glycaemia and its related factors in patients with type 2 diabetes, north of Iran: generalized linear mixed models and prevalence of overdispersion in patients [PDF]

Health Science Monitor
Background & Aims:  Glycemic control is very important to prevent or suspend complications in patients with type 2 diabetes (PT2D). The aim of this study was to investigate the status of glycemic control and its related factors in patients with type 2 ...
Samaneh Hosseinzadeh, Saeideh Davar
doaj   +2 more sources

Unmasking pandemic patterns: decoding the COVID-19's impact on mortality in Italy with Generalized Gamma overdispersion model. [PDF]

BMC Public Health
Azzolina D, Comoretto R, Ferrante D, Magnani C, Gregori D.   +4 more
europepmc   +2 more sources

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

IJAIN (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, Kusman Sadik, Indahwati Indahwati   +2 more
doaj   +1 more source

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

E-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, I KOMANG GDE SUKARSA, I GUSTI AYU MADE SRINADI   +2 more
doaj   +1 more source

Anthelmintic Treatment and the Stability of Parasite Distribution in Ruminants

Animals, 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, Anne Segonds-Pichon, Hubert Ferté, Patrick Duncan, Jacques Cabaret   +4 more
doaj   +1 more source

PENERAPAN REGRESI BINOMIAL NEGATIF UNTUK MENGATASI OVERDISPERSI PADA REGRESI POISSON

E-Jurnal Matematika, 2013
Poisson regression was used to analyze the count data which Poisson distributed. Poisson regression analysis requires state equidispersion, in which the mean value of the response variable is equal to the value of the variance.
PUTU SUSAN PRADAWATI, KOMANG GDE SUKARSA, I GUSTI AYU MADE SRINADI   +2 more
doaj   +1 more source

COVID-19 hospitalizations and patients' age at admission: The neglected importance of data variability for containment policies

Frontiers in Public Health, 2022
IntroductionAn excess in the daily fluctuation of COVID-19 in hospital admissions could cause uncertainty and delays in the implementation of care interventions.
Danila Azzolina, Danila Azzolina, Rosanna Comoretto, Rosanna Comoretto, Corrado Lanera, Paola Berchialla, Ileana Baldi, Dario Gregori   +7 more
doaj   +1 more source

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

E-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, I WAYAN SUMARJAYA, NI LUH PUTU SUCIPTAWATI   +2 more
doaj   +1 more source

Comparative assessment of parameter estimation methods in the presence of overdispersion: a simulation study

Mathematical Biosciences and Engineering, 2019
The Poisson distribution is commonly assumed as the error structure for count data; however, empirical data may exhibit greater variability than expected based on a given statistical model.
Kimberlyn Roosa, Ruiyan Luo, Gerardo Chowell   +2 more
doaj   +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

Entropy, 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, Guohua Yan, Renjun Ma, Jiaxiu Li   +3 more
doaj   +1 more source