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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/484| Bayesian estimation of IVW and MR-Egger models for two-sample Mendelian randomization studies | |
| Okezie O Uche-Ikonne Frank Dondelinger Tom Palmer | |
| Novel Coronavirus | |
| Acceso Abierto | |
| Atribución | |
| 10.1101/19005868 | |
| We present our package, mrbayes, for the open source software environment R. The package implements Bayesian estimation of IVW and MR-Egger models, including the radial MR-Egger model, for summary-level data Mendelian randomization analyses. We have implemented a choice of prior distributions for the model parameters, namely; weakly informative, non-informative, a joint prior for the MR-Egger model slope and intercept, and a pseudo-horseshoe prior, or the user can specify their own prior. We show how to use the package through an applied example investigating the causal effect of BMI on insulin resistance. In future work, we plan to provide functions for alternative MCMC estimation software such as Stan and OpenBugs. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement No external funding was reported ### Author Declarations All relevant ethical guidelines have been followed and any necessary IRB and/or ethics committee approvals have been obtained. Not Applicable All necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived. Not Applicable Any clinical trials involved have been registered with an ICMJE-approved registry such as ClinicalTrials.gov and the trial ID is included in the manuscript. Not Applicable I have followed all appropriate research reporting guidelines and uploaded the relevant Equator, ICMJE or other checklist(s) as supplementary files, if applicable. Yes Publicly available summary level data | |
| Cold Spring Harbor Laboratory Press | |
| 2019 | |
| Preimpreso | |
| https://www.medrxiv.org/content/10.1101/19005868v1 | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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| Bayesian estimation.pdf | 485.79 kB | Adobe PDF | Visualizar/Abrir |