Zero-Truncated Modelling in a Meta-Analysis on Suicide Data after Bariatric Surgery
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866913580616515584 |
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| author | Dennett, Layna Charlie Overstall, Antony Boehning, Dankmar |
| author_facet | Dennett, Layna Charlie Overstall, Antony Boehning, Dankmar |
| contents | Meta-analysis is a well-established method for integrating results from several independent studies to estimate a common quantity of interest. However, meta-analysis is prone to selection bias, notably when particular studies are systematically excluded. This can lead to bias in estimating the quantity of interest. Motivated by a meta-analysis to estimate the rate of completed-suicide after bariatric surgery, where studies which reported no suicides were excluded, a novel zero-truncated count modelling approach was developed. This approach addresses heterogeneity, both observed and unobserved, through covariate and overdispersion modelling, respectively. Additionally, through the Horvitz-Thompson estimator, an approach is developed to estimate the number of excluded studies, a quantity of potential interest for researchers. Uncertainty quantification for both estimation of suicide rates and number of excluded studies is achieved through a parametric bootstrapping approach.\end{abstract} |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_01277 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Zero-Truncated Modelling in a Meta-Analysis on Suicide Data after Bariatric Surgery Dennett, Layna Charlie Overstall, Antony Boehning, Dankmar Applications Methodology 62J12 (primary) 62F40, 62P10 (secondary) Meta-analysis is a well-established method for integrating results from several independent studies to estimate a common quantity of interest. However, meta-analysis is prone to selection bias, notably when particular studies are systematically excluded. This can lead to bias in estimating the quantity of interest. Motivated by a meta-analysis to estimate the rate of completed-suicide after bariatric surgery, where studies which reported no suicides were excluded, a novel zero-truncated count modelling approach was developed. This approach addresses heterogeneity, both observed and unobserved, through covariate and overdispersion modelling, respectively. Additionally, through the Horvitz-Thompson estimator, an approach is developed to estimate the number of excluded studies, a quantity of potential interest for researchers. Uncertainty quantification for both estimation of suicide rates and number of excluded studies is achieved through a parametric bootstrapping approach.\end{abstract} |
| title | Zero-Truncated Modelling in a Meta-Analysis on Suicide Data after Bariatric Surgery |
| topic | Applications Methodology 62J12 (primary) 62F40, 62P10 (secondary) |
| url | https://arxiv.org/abs/2305.01277 |