ABCMETAapp : R shiny application for simulation‐based estimation of mean and standard deviation for meta‐analysis via approximate Bayesian computation

Autor:	Roopesh Reddy Sadashiva Reddy, Isildinha M. Reis, Deukwoo Kwon
Rok vydání:	2021
Předmět:	Normal Distribution 01 natural sciences Standard deviation sample mean Education Computational Tools and Methods Normal distribution approximate Bayesian computation sample standard deviation 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Statistics Computer Simulation 030212 general & internal medicine 0101 mathematics Weibull distribution Mathematics Data Collection Bayes Theorem R shiny application Confidence interval Quartile meta‐analysis Sample size determination Sample Size Log-normal distribution Approximate Bayesian computation
Zdroj:	Research Synthesis Methods
ISSN:	1759-2887 1759-2879
DOI:	10.1002/jrsm.1505
Popis:	In meta‐analysis based on continuous outcome, estimated means and corresponding standard deviations from the selected studies are key inputs to obtain a pooled estimate of the mean and its confidence interval. We often encounter the situation that these quantities are not directly reported in the literatures. Instead, other summary statistics are reported such as median, minimum, maximum, quartiles, and study sample size. Based on available summary statistics, we need to estimate estimates of mean and standard deviation for meta‐analysis. We developed an R Shiny code based on approximate Bayesian computation (ABC), ABCMETA, to deal with this situation. In this article, we present an interactive and user‐friendly R Shiny application for implementing the proposed method (named ABCMETAapp). In ABCMETAapp, users can choose an underlying outcome distribution other than the normal distribution when the distribution of the outcome variable is skewed or heavy tailed. We show how to run ABCMETAapp with examples. ABCMETAapp provides an R Shiny implementation. This method is more flexible than the existing analytical methods since estimation can be based on five different distributions (Normal, Lognormal, Exponential, Weibull, and Beta) for the outcome variable.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02a475fc71aaa2c5f04b634c7b388ae3 https://doi.org/10.1002/jrsm.1505 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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