Efficiency of Zero-Inflated Generalized Poisson Regression Model on Hospital Length of Stay Using Real Data and Simulation Study

Hassankiadeh, Roghaye Farhadi; Kazemnejad, Anoshirvan; Fesharaki, Mohammad Gholami; Jahromi, Siamak Kargar

doi:10.29252/cjhr.3.1.5

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…Zeroinflated models have become fairly popular in the research literature because of applying these models need more advance statistical package. This model has been applied in a number of health related issues such as modeling DMFT index, number of falls in elderly, number of return to blood donation physical activity, and length of hospital stay (16)(17)(18)(19)(20). According to the review literature by the author this model has never been applied on mammography screening data.…”

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confidence: 99%

Contributors of Mammography Screening with Zero-Inflated Count Regression Models by Bayesian Approach

Kavehie¹,

Harandi

Rahimzadeh

2019

CJHR

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Background: Mammography is a valuable tool for early diagnosis of breast cancer in asymptomatic women. Considering the high prevalence of breast cancer in Iranian women and the low participation in mammography screening program, the purpose of this study was to investigate the factors affecting frequency of mammography screening in women over 40 years of age using zero-. Methods: In this study, the required information about number of performing mammography in women's' lifetime, demographic characteristics and behavioral risk factors were obtained through interview based on a researcher-made questionnaire. To investigate the factors affecting mammography, zero inflation Poisson regression models were performed using Win Bugs software. Results: The mean (SD) age of women participating in this study was 49.87 (6.76). 77% of the participants have never undergone mammography, 8.9% once, 6.9% twice, 6.7% three times, and 0.5% more than three times. Age had a positive effect on the number of mammograms in the women who have perform mammograms at least once. Having a family history of cancer and breast cancer, middle compared to low economic status, higher compared to low education and menopause were significantly associated with lower probability of never performing mammography. Conclusion: Given the relatively low participation of women in mammography, more facilities are needed for high risk women (aged 40-70) to facilitate the diagnosis process.

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confidence: 99%

Contributors of Mammography Screening with Zero-Inflated Count Regression Models by Bayesian Approach

Kavehie¹,

Harandi

Rahimzadeh

2019

CJHR

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“…Zero inflated Poisson models (ZIP) (Lambert, 1992) and Zero inflated negative binomial models (ZINB) (Greene, 1994) are used to deal with these characteristics. Although used in many areas such as psychology (Atkins and Gallop, 2007), computer science (Souza et al, 2016) and several other applied fields (Farhadi Hassankiadeh et al, 2018;Njambi Wanjau, 2019), if the non-zero part of data is over-dispersed, the parameter estimates of a ZIP can be biased just as standard errors may be underestimated. Zero-inflated models are also used in the analisys of longitudinal data (Neelon et al, 2010;Rose et al, 2006).…”

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confidence: 99%

Statistical modeling for zero-inflated data using GAMs

Amaral¹

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Statistical modeling for zero-inflated data using GAMs Count data are common in biological studies, such as in entomology, where numbers of individuals or proportions are observed. Generally, these experiments or sampling processes have overdispersion and excess of zeros. The use of zero-inflated models supports the study process for data sets with these behaviors. The first paper presented here deals with an experiment conducted with a cotton pest. The main objective is to compare the models for zero-inflated overdispersed count data. Generalized linear models and generalized additive models are compared in terms of fit according to the inclusion of smoothing functions. After the selection of the model, covariates of natural enemies were included. Models that used smoothing functions allowed a better evaluation of the biological interactions over time between the pest and its natural enemies. The second work deals with a simulation study that aims to compare the efficiency of the inclusion of smoothing functions for simulated data sets of zero-inflated longitudinal data. The inclusion of smoothing functions did not show improvement in the fit of the models for the created simulation scenarios.

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Abnormal transitions of dynamic functional connectivity states in bipolar disorder: A whole-brain resting-state fMRI study

Zhang

et al. 2021

Journal of Affective Disorders

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Efficiency of Zero-Inflated Generalized Poisson Regression Model on Hospital Length of Stay Using Real Data and Simulation Study

Cited by 4 publications

References 17 publications

Contributors of Mammography Screening with Zero-Inflated Count Regression Models by Bayesian Approach

Contributors of Mammography Screening with Zero-Inflated Count Regression Models by Bayesian Approach

Statistical modeling for zero-inflated data using GAMs

Abnormal transitions of dynamic functional connectivity states in bipolar disorder: A whole-brain resting-state fMRI study

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