RT @AmandaKMontoya@twitter.com

Updated preprint now available! Ever wonder about the differences between statistical and causal #MediationAnalysis? This chapter walks through each and how you can combine practices from both in psychological research! #causalinference #rstats #psychology https://psyarxiv.com/f8paj/

🐦🔗: https://twitter.com/AmandaKMontoya/status/1606025777530617856

Applied case study on causal inference methods for sequential mediators.

Four methods to analyse multiple sequential mediators:
- inverse odds ratio weighting
- inverse probability weighting
- imputation
- extended imputation

Choice of the method depends on effect of main interest, type of variables (binary, categorical, count or continuous) and confidence in specifying the models for the exposure, the mediators and the outcome.

#MediationAnalysis #CausalInference
#statistics

Updated preprint for @jlfossum's awesome paper on #poweranalysis in #mediationanalysis. The main takeaway is that if you’re simulating normal or nonnormal homoskedastic data you can use joint significance test for power analysis instead of bootstrapping but not if you simulate heteroskedadtic data. #psychology #quantmethods #psychmethods #quantpsych #psychresearch https://psyarxiv.com/5tm2x/