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This app computes a random-effects meta-analysis of the correlation data in an editable table. It performs bootstrapping for confidence interval estimation and produces plots in real time. Replicates the meta-analysis from Samaha & Romei (2023) Journal of Cognitive Neuroscience.

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This app facilitates the computation of random-effects meta-analysis based on the parameters n (sample size) and r (correlation coefficient). It comes prepopulated with data from Samaha & Romei (2023), a meta-analysis correlating individual alpha frequency with temporal properties of perception. Users can manipulate the data directly in the table, adding or deleting rows as needed. Upon any change to the table, the plots and statistics update dynamically. The app also provides a bootstrap analysis to estimate the population correlation and its 95% confidence interval, along with other relevant metrics such as the standard error, Z-statistic, and p-value. This tool is particularly useful for researchers conducting meta-analyses in various fields where correlation analysis is common.

See owner's GitHub repository for more information:

This app is based on the paper:

Jason Samaha, Vincenzo Romei; Alpha-Band Frequency and Temporal Windows in Perception: A Review and Living Meta-analysis of 27 Experiments (and Counting). J Cogn Neurosci 2024; 36 (4): 640–654. doi:

This application was not uploaded by the author, but through their publicly available Github repository,


Warning: Not intended for clinical use. Assume outputs are unsafe and unvalidated. Use carefully.

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