نتایج جستجو برای: negative binomial regression

تعداد نتایج: 831720  

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...

Journal: :ICSA - International Conference on Statistics and Analytics 2019 2021

ژورنال: اقتصاد مقداری 2017

Abstract Negative binomial regression model (NBR) is a popular approach for modeling overdispersed count data with covariates. Several parameterizations have been performed for NBR, and the two well-known models, negative binomial-1 regression model (NBR-1) and negative binomial-2 regression model (NBR-2), have been applied. Another parameterization of NBR is negative binomial-P regression mode...

Journal: :gastroenterology and hepatology from bed to bench 0
mohsen vahedi asma pourhoseingholi sara ashtari mohamad amin pourhoseingholi phd. maryam karkhane bijan moghimi-dehkordi

aim : this study compared pr and nb in predicting hcv patient costs. the objective of this study was to predict the direct cost of the hcv patient in iran. background : hepatitis c virus (hcv) is a common and expensive infectious disease in iran. cost associated with hcv and its complications has not been well characterized. analysis of cost data is important in providing consistent information...

Journal: :gastroenterology and hepatology from bed to bench 0
asma pourhoseingholi alireza akbarzadeh baghban farid zayeri seyed moayed alavian mohsen vahedi

aim : the aim of this study was to compare alternatives methods for analysis of zero inflated count data and compare them with simple count models that are used by researchers frequently for such zero inflated data. background : analysis of viral load and risk factors could predict likelihood of achieving sustain virological response (svr). this information is useful to protect a person from ac...

Journal: :Journal of Risk and Financial Management 2018

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