Response: Epileptic discharges in acutely ill patients investigated for SARS‐CoV‐2/COVID‐19 and the absence of evidence
By merely increasing the sample size of the prior ten‐fold, while maintaining the same proportion of subjects with EDs over the total size (ie, from 1/6 to 10/60), and leaving the posterior (COVID‐19‐positive) dataset unchanged, both the simple sequential (SS) Bayesian A/B test and Fisher's exa...
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creator | Galanopoulou, Aristea S. McArthur, David L. Ferastraoaru, Victor Correa, Daniel J. Cherian, Koshi Duberstein, Susan Gursky, Jonathan Hanumanthu, Rajani Hung, Christine Molinero, Isaac Khodakivska, Olga Legatt, Alan D. Patel, Puja Rosengard, Jillian Rubens, Elayna Sugrue, William Yozawitz, Elissa Mehler, Mark F. Ballaban‐Gil, Karen Haut, Sheryl R. Malhotra, Rishi Moshé, Solomon L. Boro, Alexis |
description | By merely increasing the sample size of the prior ten‐fold, while maintaining the same proportion of subjects with EDs over the total size (ie, from 1/6 to 10/60), and leaving the posterior (COVID‐19‐positive) dataset unchanged, both the simple sequential (SS) Bayesian A/B test and Fisher's exact test provide some level of statistical significance. 1 FIGURE. Re‐evaluation of the statistical significance of the difference in the rates of epileptiform discharges (EDs) observed in the EEGs of acutely ill COVID‐19‐negative (Group 1, 16.7%) vs COVID‐19‐positive (Group 2, 40.9%) patients, considering different sample sizes of the prior (Group 1) distribution. The Bayesian A/B test was done using the JASP software (https://jasp‐stats.org) and Fisher's exact test using JMP version 10.0.0 (SAS Institute Inc, Cary NC, USA) However, extrapolating findings from small‐sample exploratory studies of new patient populations, like our study, to larger populations without collecting real data is hard to recommend. |
doi_str_mv | 10.1002/epi4.12437 |
format | Article |
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Re‐evaluation of the statistical significance of the difference in the rates of epileptiform discharges (EDs) observed in the EEGs of acutely ill COVID‐19‐negative (Group 1, 16.7%) vs COVID‐19‐positive (Group 2, 40.9%) patients, considering different sample sizes of the prior (Group 1) distribution. The Bayesian A/B test was done using the JASP software (https://jasp‐stats.org) and Fisher's exact test using JMP version 10.0.0 (SAS Institute Inc, Cary NC, USA) However, extrapolating findings from small‐sample exploratory studies of new patient populations, like our study, to larger populations without collecting real data is hard to recommend.</description><identifier>ISSN: 2470-9239</identifier><identifier>EISSN: 2470-9239</identifier><identifier>DOI: 10.1002/epi4.12437</identifier><identifier>PMID: 33230490</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Epilepsy ; Grants ; Hypotheses ; Illnesses ; Letter ; Letters ; Neurobiology ; Neurosciences ; Patients ; Royalties ; Severe acute respiratory syndrome coronavirus 2 ; Statistical analysis ; Wages & salaries</subject><ispartof>Epilepsia open, 2020-12, Vol.5 (4), p.618-621</ispartof><rights>2020 The Authors. published by Wiley Periodicals Inc. on behalf of International League Against Epilepsy</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). 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Re‐evaluation of the statistical significance of the difference in the rates of epileptiform discharges (EDs) observed in the EEGs of acutely ill COVID‐19‐negative (Group 1, 16.7%) vs COVID‐19‐positive (Group 2, 40.9%) patients, considering different sample sizes of the prior (Group 1) distribution. 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provide some level of statistical significance. 1 FIGURE. Re‐evaluation of the statistical significance of the difference in the rates of epileptiform discharges (EDs) observed in the EEGs of acutely ill COVID‐19‐negative (Group 1, 16.7%) vs COVID‐19‐positive (Group 2, 40.9%) patients, considering different sample sizes of the prior (Group 1) distribution. 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subjects | Epilepsy Grants Hypotheses Illnesses Letter Letters Neurobiology Neurosciences Patients Royalties Severe acute respiratory syndrome coronavirus 2 Statistical analysis Wages & salaries |
title | Response: Epileptic discharges in acutely ill patients investigated for SARS‐CoV‐2/COVID‐19 and the absence of evidence |
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