Home

On this page, I will aggregate issues related to statistics proper.  For a developed resource page on mixed regression models, go here. This page will cover facts about other statistics – effect sizes, bayesian analyses, homo/heteroskedasticity, etc. Given the need to run high powered studies to output worthwhile science, I will also be collecting links and papers here regarding: how to run power analyses, the concepts behind them, simulations, and general information about them along with issues of replication and reproducibility of analyses.This page is currently under construction.

Error management

  • Family-wise error rate: Link

T Test

Degrees of Freedom

Testing Variance homo/heterogeneity

Effect sizes

NHST

Moderation/Mediation

Confidence Intervals

Likelihood statistics

Multivariate methods

Correlations

Bayesian

Power

Reproducibility

  • The following site is a tutorial for how to structure your analysis stream to make it more reproducible. Link

Replication

P Hacking/QRPs

Machine Learning

  • Machine learning in neuroscience: Link

PCA & EFA

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s