Bayesian alternatives for cardiology research and COVID-19
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Bayesian alternatives for cardiology research and COVID-19Downloads
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1. Ramos-Vera CA. El método del factor Bayes para la investigación en Cardiología. CorSalud [Internet]. 2021 [citado 10 Abr 2021];13(3):386-8. Disponible en: http://www.revcorsalud.sld.cu/index.php/cors/article/view/711/1308
2. Ramos-Vera CA. Replicación bayesiana: cuán probable es la hipótesis nula e hipótesis alterna. Educ Méd. 2020;22(S3):234-5. DOI: https://doi.org/10.1016/j.edumed.2020.09.014
3. Kelter R. Bayesian alternatives to null hypothesis significance testing in biomedical research: a non-technical introduction to Bayesian inference with JASP. BMC Med Res Methodol [Internet]. 2020 [citado 10 Abr 2021];20(1):142. Disponible en: https://doi.org/10.1186/s12874-020-00980-6
4. Keysers C, Gazzola V, Wagenmakers EJ. Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence. Nat Neurosci. 2020;23(7):788-99. DOI: https://doi.org/10.1038/s41593-020-0660-4
5. Santos Medina M, Ricardo Mora E, Rodríguez Ramos M, Batista Bofill S. Factores de riesgo de muerte súbita en pacientes con infarto agudo de miocardio. CorSalud [Internet]. 2020 [citado 10 Abr 2021];12(4):364-71. Disponible en: http://www.revcorsalud.sld.cu/index.php/cors/article/view/732/1319
6. Santos Medina M, Prohías Martínez J, Martínez García G, Gómez Fernández M, Prieto Guerra M, Blanco Pérez Y, et al. Infarto agudo de miocardio en cuatro hospitales de atención secundaria en Cuba en la era COVID-19. CorSalud [Internet]. 2021 [citado 10 Abr 2021];13(1):1-8. Disponible en: http://www.revcorsalud.sld.cu/index.php/cors/article/view/746
7. Lenhard W, Lenhard A. Computation of effect sizes [Internet]. Dettelbach (Germany): Psychometrica [citado 11 Abr 2021]; 2016. Disponible en: http://dx.doi.org/10.13140/RG.2.2.17823.92329
8. Gronau QF, Akash Raj KN, Wagenmakers EJ. Informed Bayesian inference for the A/B test [Internet]. arXiv [citado 11 Abr 2021]; 2019. Disponible en: http://arxiv.org/abs/1905.02068
9. Wagenmakers EJ, Gronau QF, Akash Raj KN. How a Simple Bayesian Test Could Have Rescued a Famous Clinical Trial [Internet]. 2020 [citado 11 Abr 2021]. Disponible en: https://jasp-stats.org/2020/01/14/how-a-simple-bayesian-test-could-have-rescued-a-famous-clinical-trial/
10. Rosenfeld J, Olson JM. Bayesian Data Analysis: A Fresh Approach to Power Issues and Null Hypothesis Interpretation. Appl Psychophysiol Biofeedback. 2021;46:135-40. DOI: https://doi.org/10.1007/s10484-020-09502-y
11. Hulme OJ, Wagenmakers EJ, Damkier P, Madelung CF, Siebner HR, Helweg-Larsen J, et al. A Bayesian reanalysis of the effects of hydroxychloroquine and azithromycin on viral carriage in patients with COVID-19. Plos One [Internet]. 2021 [citado 11 Abr 2021];16(2):e0245048. Disponible en: https://doi.org/10.1371/journal.pone.0245048
12. Arbona-Haddad E, Tremont-Lukats IW, Gogia B, Rai PK; Bayesian Neurology Group-Texas (BNG-TX). COVID-19 encephalopathy, Bayes rule, and a plea for case-control studies. Ann Clin Transl Neurol [Internet]. 2021 [citado 11 Abr 2021];8(3):723-5. Disponible en: https://doi.org/10.1002/acn3.51288
13. Zampieri FG, Casey JD, Shankar-Hari M, Harrell FE Jr, Harhay MO. Using Bayesian methods to augment the interpretation of critical care trials. An overview of theory and example reanalysis of the alveolar recruitment for acute respiratory distress syndrome Trial. Am J Respir Crit Care Med. 2021;203(5):543-52. DOI: https://doi.org/10.1164/rccm.202006-2381cp
14. Zampieri FG, Damiani LP, Bakker J, Ospina-Tascón GA, Castro R, Cavalcanti AB, et al. Effects of a resuscitation strategy targeting peripheral perfusion status versus serum lactate levels among patients with septic shock. A Bayesian reanalysis of the ANDROMEDA-SHOCK Trial. Am J Respir Crit Care Med. 2020;201(4):423-9. DOI: https://doi.org/10.1164/rccm.201905-0968oc
15. Franchi F, Biuzzi C, Detti E, Cevenini G, Scolletta S. The Bayesian approach: May we learn a lesson from the ANDROMEDA-SHOCK trial? Ann Transl Med [Internet]. 2020 [citado 12 Abr 2021];8(12):804. Disponible en: https://doi.org/10.21037/atm.2020.02.17
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