https://scholars.lib.ntu.edu.tw/handle/123456789/519188
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Yen A.M.-F. | en_US |
dc.contributor.author | HORNG-HUEI LIOU | en_US |
dc.contributor.author | Lin H.-L. | en_US |
dc.contributor.author | Chen, Tony Hsiu Hsi | en_US |
dc.creator | Yen A.M.-F.;Horng-Huei Liou;Lin H.-L.;Chen T.H.-H. | - |
dc.date.accessioned | 2020-11-03T09:53:35Z | - |
dc.date.available | 2020-11-03T09:53:35Z | - |
dc.date.issued | 2006 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-33845917898&doi=10.1055%2fs-0038-1634127&partnerID=40&md5=45ec7b890f2dbb567badd23e8fdf6dfc | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/519188 | - |
dc.description.abstract | Objective: The study aimed to develop a predictive model to deal with data fraught with heterogeneity that cannot be explained by sampling variation or measured covariates. Methods: The random-effect Poisson regression model was first proposed to deal with over-dispersion for data fraught with heterogeneity offer making allowance for measured covariates. Bayesian acyclic graphic model in conjunction with Markov Chain Monte Carlo (MCMC) technique was then applied to estimate the parameters of both relevant covariates and random effect. Predictive distribution was then generated to compare the predicted with the observed for the Bayesian model with and without random effect. Data from repeated measurement of episodes among 44 patients with intractable epilepsy were used as an illustration. Results: The application of Poisson regression without taking heterogeneity into account to epilepsy data yielded a large value of heterogeneity (heterogeneity factor = 17.90, deviance = 1485, degree of freedom (df) = 83). After taking the random effect into account, the value of heterogeneity factor was greatly reduced (heterogeneity factor = 0.52, deviance = 42.5, df = 81). The Pearson χ2 for the comparison between the expected seizure frequencies and the observed ones at two and three months of the model with and without random effect were 34.27 (p = 1.00) and 1799.90 (p < 0.0001), respectively. Conclusion: The Bayesian acyclic model using the MCMC method was demonstrated to have great potential for disease prediction while data show over-dispersion attributed either to correlated property or to subject-to-subject variability. ? 2006 Schattauer GmbH. | - |
dc.publisher | Schattauer GmbH | - |
dc.relation.ispartof | Methods of Information in Medicine | - |
dc.subject | Bayesian acyclic graphic model; Heterogeneity; Markov Chain Monte Carlo (MCMC); Predictive model; Random effect | - |
dc.subject.classification | [SDGs]SDG3 | - |
dc.subject.other | adolescent; adult; article; Bayes theorem; clinical article; controlled study; correlation coefficient; female; human; intractable epilepsy; male; outcome assessment; predictor variable; priority journal; statistical analysis | - |
dc.title | Bayesian random-effect model for predicting outcome fraught with heterogeneity: An illustration with episodes of 44 patients with intractable epilepsy | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1055/s-0038-1634127 | - |
dc.identifier.pmid | 17149504 | - |
dc.identifier.scopus | 2-s2.0-33845917898 | - |
dc.relation.pages | 631-637 | - |
dc.relation.journalvolume | 45 | - |
dc.relation.journalissue | 6 | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | journal article | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
item.fulltext | no fulltext | - |
crisitem.author.dept | National Taiwan University Hospital Yun-Lin Branch | - |
crisitem.author.dept | Neurology | - |
crisitem.author.dept | Pharmacology | - |
crisitem.author.dept | Brain and Mind Sciences | - |
crisitem.author.dept | Neurology-NTUH | - |
crisitem.author.dept | Institute of Health Data Analytics and Statistics | - |
crisitem.author.dept | Public Health | - |
crisitem.author.orcid | 0000-0001-6537-5346 | - |
crisitem.author.orcid | 0000-0002-5799-6705 | - |
crisitem.author.parentorg | National Taiwan University Hospital | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | National Taiwan University Hospital | - |
crisitem.author.parentorg | College of Public Health | - |
crisitem.author.parentorg | College of Public Health | - |
顯示於: | 醫學系 |
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