{"title":"Poisson excess relative risk models: New implementations and software","authors":"M. Higueras, A. Howes","doi":"10.2436/20.8080.02.76","DOIUrl":null,"url":null,"abstract":"Two new implementations for fitting Poisson excess relative risk methods are proposed for as- \nsumed simple models. This allows for estimation of the excess relative risk associated with a \nunique exposure, where the background risk is modelled by a unique categorical variable, for \nexample gender or attained age levels. Additionally, it is shown how to fit general Poisson linear \nrelative risk models in R. Both simple methods and the R fitting are illustrated in three examples. \nThe first two examples are from the radiation epidemiology literature. Data in the third example \nare randomly generated with the purpose of sharing it jointly with the R scripts.","PeriodicalId":49497,"journal":{"name":"Sort-Statistics and Operations Research Transactions","volume":"68 1","pages":"237-252"},"PeriodicalIF":0.7000,"publicationDate":"2018-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sort-Statistics and Operations Research Transactions","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.2436/20.8080.02.76","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Two new implementations for fitting Poisson excess relative risk methods are proposed for as-
sumed simple models. This allows for estimation of the excess relative risk associated with a
unique exposure, where the background risk is modelled by a unique categorical variable, for
example gender or attained age levels. Additionally, it is shown how to fit general Poisson linear
relative risk models in R. Both simple methods and the R fitting are illustrated in three examples.
The first two examples are from the radiation epidemiology literature. Data in the third example
are randomly generated with the purpose of sharing it jointly with the R scripts.
期刊介绍：
SORT (Statistics and Operations Research Transactions) —formerly Qüestiió— is an international journal launched in 2003. It is published twice-yearly, in English, by the Statistical Institute of Catalonia (Idescat). The journal is co-edited by the Universitat Politècnica de Catalunya, Universitat de Barcelona, Universitat Autonòma de Barcelona, Universitat de Girona, Universitat Pompeu Fabra i Universitat de Lleida, with the co-operation of the Spanish Section of the International Biometric Society and the Catalan Statistical Society. SORT promotes the publication of original articles of a methodological or applied nature or motivated by an applied problem in statistics, operations research, official statistics or biometrics as well as book reviews. We encourage authors to include an example of a real data set in their manuscripts.
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