Take your correlation analysis to the next level with advanced statistical techniques! Learn how to add statistical rigor to your correlation coefficients by calculating confidence intervals using Fisher's Z transformation, handle multiple testing corrections, and validate your results with bootstrap resampling. This tutorial covers comprehensive correlation matrix analysis, hierarchical clustering of variables, and proper statistical reporting.
Topics covered:
- Confidence intervals for correlation coefficients using Fisher's Z transformation
- Multiple testing corrections (Bonferroni, Holm, FDR) to avoid false discoveries
- Comprehensive correlation matrix analysis with statistical significance testing
- Hierarchical clustering of correlations using dendrograms
- Bootstrap confidence intervals for method validation
- Power analysis for sample size determination
- Professional reporting formats (APA style) for correlation results
The code from this video is available here: https://github.com/bnsreenu/python_for_microscopists/blob/master/367_Correlation_Analysis_Part_3_Adv_Correlation.ipynb
