{"title":"Visualizing uncertainty in a two-dimensional estimate using confidence and comparison regions","authors":"Maren Eckert, W. Vach","doi":"10.1177/1536867X231175314","DOIUrl":null,"url":null,"abstract":"Recently, Eckert and Vach (2020, Biometrical Journal 62: 598–609) pointed out that both confidence and comparison regions are useful tools to visualize uncertainty in a two-dimensional estimate. Both types of regions can be based on inverting Wald tests or likelihood-ratio tests. confcomptwo enables Stata users to draw both types of regions following one of the two principles for various two-dimensional estimation problems. The use of confcomptwo is illustrated by several examples.","PeriodicalId":51171,"journal":{"name":"Stata Journal","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stata Journal","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1177/1536867X231175314","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Recently, Eckert and Vach (2020, Biometrical Journal 62: 598–609) pointed out that both confidence and comparison regions are useful tools to visualize uncertainty in a two-dimensional estimate. Both types of regions can be based on inverting Wald tests or likelihood-ratio tests. confcomptwo enables Stata users to draw both types of regions following one of the two principles for various two-dimensional estimation problems. The use of confcomptwo is illustrated by several examples.
期刊介绍：
The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata''s language. The Stata Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other material of interest to researchers applying statistics in a variety of disciplines.
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