نتایج جستجو برای: modified poisson regression

تعداد نتایج: 585381  

رضائیان فرد, الهام, زارع, نجف, صیادی, مهراب, قائم, هاله,

Background & objectives: statistical modeling explicates the observed changes in data by means of mathematics equations. In cases that dependent variable is count, Poisson model is applied. If Poisson model is not applicable in a specific situation, it is better to apply the generalized Poisson model. So, our emphasis in this study is to notice the data structure, introducing the generalized Po...

Journal: :journal of research in medical sciences 0
muzahem mohammed yahya al-hashimi school of mathematics and statistics, huazhong university of science and technology, wuhan, hubei, china xiangjun wang

background: iraq fought three wars in three consecutive decades, iran-iraq war (1980-1988), persian gulf war in 1991, and the iraq’s war in 2003. in the nineties of the last century and up to the present time, there have been anecdotal reports of increase in cancer in ninawa as in all provinces of iraq, possibly as a result of exposure to depleted uranium used by american troops in the last t...

Background Polycystic ovary syndrome is a frequent condition in women of reproductive age with prevalence rate of 5-10%. This study purposed to determine the relationship between polycystic ovary syndrome and the outcome of assisted reproductive treatment (ART) cycle in Tehran, Iran. MaterialsAndMethods In this historical cohort study, 996 infertile women who were referred to Royan Institute (T...

Journal: :American journal of epidemiology 2004
Guangyong Zou

Relative risk is usually the parameter of interest in epidemiologic and medical studies. In this paper, the author proposes a modified Poisson regression approach (i.e., Poisson regression with a robust error variance) to estimate this effect measure directly. A simple 2-by-2 table is used to justify the validity of this approach. Results from a limited simulation study indicate that this appro...

2014
Raúl Ibáñez Manuel de León Juan C. Marrero

2012
E. L. Frome J. P. Watkins E. D. Ellis C. H. Strader

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2007
Eun Sug Park Dominique Lord

This paper introduces a new multivariate approach for jointly modeling crash counts by severity data based on Multivariate Poisson-Lognormal models. Although the crash frequency by severity data are multivariate in nature, they have often been analyzed by modeling each severity level separately without taking into account correlations that exist among different severity levels. The new Multivar...

Journal: :Mathematics and Computers in Simulation 2005
Dan Marsh Les Oxley

This paper analyses results from an investigation into the determinants of biotechnology innovation in New Zealand using a comprehensive new dataset. The theoretical framework is based on a synthesis of hypotheses drawn from four strands of the innovation literature and the empirical work utilises Poisson regression methods. The data provides strong support for the idea that smaller enterprises...

Journal: :journal of research in health sciences 0
maryam jalali ali nikfarjam ali akbar haghdoost nadere memaryan termeh tarjoman mohammad reza baneshi

background: in the case of sensitive questions such as number of alcoholics known, majority of respondents might give an answer of zero. poisson regression model (p) is the standard tool to analyze count data. however, p provides poor fit in the case of zero inflated counts, when over-dispersion exists. therefore, the questions to be addressed are to compare performance of alternative count reg...

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