A regression-based method for estimating risks and relative risks in case-base studies.
Both the absolute risk and the relative risk (RR) have a crucial role to play in epidemiology. RR is often approximated by odds ratio (OR) under the rare-disease assumption in conventional case-control study; however, such a study design does not provide an estimate for absolute risk. The case-base...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2013-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3861498?pdf=render |
| _version_ | 1818694898074779648 |
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| author | Tina Tsz-Ting Chui Wen-Chung Lee |
| author_facet | Tina Tsz-Ting Chui Wen-Chung Lee |
| author_sort | Tina Tsz-Ting Chui |
| collection | DOAJ |
| description | Both the absolute risk and the relative risk (RR) have a crucial role to play in epidemiology. RR is often approximated by odds ratio (OR) under the rare-disease assumption in conventional case-control study; however, such a study design does not provide an estimate for absolute risk. The case-base study is an alternative approach which readily produces RR estimation without resorting to the rare-disease assumption. However, previous researchers only considered one single dichotomous exposure and did not elaborate how absolute risks can be estimated in a case-base study. In this paper, the authors propose a logistic model for the case-base study. The model is flexible enough to admit multiple exposures in any measurement scale-binary, categorical or continuous. It can be easily fitted using common statistical packages. With one additional step of simple calculations of the model parameters, one readily obtains relative and absolute risk estimates as well as their confidence intervals. Monte-Carlo simulations show that the proposed method can produce unbiased estimates and adequate-coverage confidence intervals, for ORs, RRs and absolute risks. The case-base study with all its desirable properties and its methods of analysis fully developed in this paper may become a mainstay in epidemiology. |
| first_indexed | 2024-12-17T13:36:53Z |
| format | Article |
| id | doaj.art-2f4e0db8425740e78dd1fb7980e300b3 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-17T13:36:53Z |
| publishDate | 2013-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-2f4e0db8425740e78dd1fb7980e300b32022-12-21T21:46:25ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01812e8327510.1371/journal.pone.0083275A regression-based method for estimating risks and relative risks in case-base studies.Tina Tsz-Ting ChuiWen-Chung LeeBoth the absolute risk and the relative risk (RR) have a crucial role to play in epidemiology. RR is often approximated by odds ratio (OR) under the rare-disease assumption in conventional case-control study; however, such a study design does not provide an estimate for absolute risk. The case-base study is an alternative approach which readily produces RR estimation without resorting to the rare-disease assumption. However, previous researchers only considered one single dichotomous exposure and did not elaborate how absolute risks can be estimated in a case-base study. In this paper, the authors propose a logistic model for the case-base study. The model is flexible enough to admit multiple exposures in any measurement scale-binary, categorical or continuous. It can be easily fitted using common statistical packages. With one additional step of simple calculations of the model parameters, one readily obtains relative and absolute risk estimates as well as their confidence intervals. Monte-Carlo simulations show that the proposed method can produce unbiased estimates and adequate-coverage confidence intervals, for ORs, RRs and absolute risks. The case-base study with all its desirable properties and its methods of analysis fully developed in this paper may become a mainstay in epidemiology.http://europepmc.org/articles/PMC3861498?pdf=render |
| spellingShingle | Tina Tsz-Ting Chui Wen-Chung Lee A regression-based method for estimating risks and relative risks in case-base studies. PLoS ONE |
| title | A regression-based method for estimating risks and relative risks in case-base studies. |
| title_full | A regression-based method for estimating risks and relative risks in case-base studies. |
| title_fullStr | A regression-based method for estimating risks and relative risks in case-base studies. |
| title_full_unstemmed | A regression-based method for estimating risks and relative risks in case-base studies. |
| title_short | A regression-based method for estimating risks and relative risks in case-base studies. |
| title_sort | regression based method for estimating risks and relative risks in case base studies |
| url | http://europepmc.org/articles/PMC3861498?pdf=render |
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