ArticleGastroenterology and hepatology from bed to bench2013
Specific count model for investing the related factors of cost of GERD and functional dyspepsia.
Article in Gastroenterology and hepatology from bed to bench, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Cost-effectiveness analysis of capecitabine versus active monitoring in stable or responding metastatic colorectal cancer after 16 weeks of first-line therapy.Annals of medicine · 2025Article
- Bayesian Zero- Inflated Poisson model for prognosis of demographic factors associated with using crystal meth in Tehran population.Medical journal of the Islamic Republic of Iran · 2018Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThe purpose of this study is to analyze the cost of GERD and functional dyspepsia for investing its related factors.
backgroundGastro-oesophageal reflux disease GERD and dyspepsia are the most common symptoms of gastrointestinal disorders. Recent studies showed high prevalence and variety of clinical presentation of these two symptoms imposed enormous economic burden to the society. Cost data that related to economics burden have specific characteristics. So this kind of data needs to specific models. Poisson regression (PR) and negative binomial regression (NB) are the models that were used for analyzing cost data in this paper. PATIENTS AND
methodsThis study designed as a cross-sectional household survey from May 2006 to December 2007 on a random sample of individual in the Tehran province, Iran to find the prevalence of gastrointestinal symptoms and disorders and its related factors. The Cost in each item was counted. PR and NB were carried out to the data respectively. Likelihood ratio test was performed for comparison between models. Also Log likelihood, Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) were used to compare performance of the models.
resultsAccording to Likelihood ratio test and all three criterions that we used to compare performance of the models, NB was the best model for analyzing this cost data. Sex, age and insurance statues were being significant.
conclusionPR and NB models were carried out for this data and according the results improved fit of the NB model over PR, it clearly indicates that over-dispersion is involved due to unobserved heterogeneity and/or clustering. NB model in cost data more appropriate fit than PR.
Indexed as
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24834282PMC4017531What OpenQuestion holds
Registered trials
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