Prediction of treatments effects in a biased allocation model
Robbins and Zhang [15] provide consistent estimators of multiplicative treatment effects under a biased treatment allocation scheme, and illustrate their methodology within Poisson and binomial models. Here we use predictive criteria to assess the differential treatment effects, and develop predict...
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| Format: | Article |
| Language: | English |
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Instituto Nacional de Estatística | Statistics Portugal
2005-06-01
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| Series: | Revstat Statistical Journal |
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| Online Access: | https://revstat.ine.pt/index.php/REVSTAT/article/view/18 |
| _version_ | 1798036872136491008 |
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| author | Fernando J.M. Magalhães |
| author_facet | Fernando J.M. Magalhães |
| author_sort | Fernando J.M. Magalhães |
| collection | DOAJ |
| description |
Robbins and Zhang [15] provide consistent estimators of multiplicative treatment effects under a biased treatment allocation scheme, and illustrate their methodology within Poisson and binomial models. Here we use predictive criteria to assess the differential treatment effects, and develop predictive distributions for the Poisson errors in variables models. With a hierarchical prior structure, various approximations are investigated, and an illustrative example is included.
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| first_indexed | 2024-04-11T21:18:56Z |
| format | Article |
| id | doaj.art-cc6d7f3ef02340149fad974faa22a0f4 |
| institution | Directory Open Access Journal |
| issn | 1645-6726 2183-0371 |
| language | English |
| last_indexed | 2024-04-11T21:18:56Z |
| publishDate | 2005-06-01 |
| publisher | Instituto Nacional de Estatística | Statistics Portugal |
| record_format | Article |
| series | Revstat Statistical Journal |
| spelling | doaj.art-cc6d7f3ef02340149fad974faa22a0f42022-12-22T04:02:44ZengInstituto Nacional de Estatística | Statistics PortugalRevstat Statistical Journal1645-67262183-03712005-06-013110.57805/revstat.v3i1.18Prediction of treatments effects in a biased allocation modelFernando J.M. Magalhães Robbins and Zhang [15] provide consistent estimators of multiplicative treatment effects under a biased treatment allocation scheme, and illustrate their methodology within Poisson and binomial models. Here we use predictive criteria to assess the differential treatment effects, and develop predictive distributions for the Poisson errors in variables models. With a hierarchical prior structure, various approximations are investigated, and an illustrative example is included. https://revstat.ine.pt/index.php/REVSTAT/article/view/18biased allocationerrors in variablesGibbs samplingLaplace approximationPoisson modelpredictive distributions |
| spellingShingle | Fernando J.M. Magalhães Prediction of treatments effects in a biased allocation model Revstat Statistical Journal biased allocation errors in variables Gibbs sampling Laplace approximation Poisson model predictive distributions |
| title | Prediction of treatments effects in a biased allocation model |
| title_full | Prediction of treatments effects in a biased allocation model |
| title_fullStr | Prediction of treatments effects in a biased allocation model |
| title_full_unstemmed | Prediction of treatments effects in a biased allocation model |
| title_short | Prediction of treatments effects in a biased allocation model |
| title_sort | prediction of treatments effects in a biased allocation model |
| topic | biased allocation errors in variables Gibbs sampling Laplace approximation Poisson model predictive distributions |
| url | https://revstat.ine.pt/index.php/REVSTAT/article/view/18 |
| work_keys_str_mv | AT fernandojmmagalhaes predictionoftreatmentseffectsinabiasedallocationmodel |