samch93 Goto Github PK

baecomment

Files for reproducing analyses in Pawel, S., Held, L. & Matthews, R. Comment on "Bayesian additional evidence for decision making under small sample uncertainty". https://doi.org/10.1186/s12874-022-01635-4

batdrs

Code related to Pawel, S., Consonni, G., and Held, L. (2023). Bayesian approaches to designing replication studies. Psychological Methods. https://doi.org/10.1037/met0000604

bayesrep

R package for the analysis of replication studies using Bayes factors

bayesrepdesign

R package for determining the sample size of replication studies using Bayesian design approaches in the normal-normal hierarchical model

bayesroe

R package to compute Bayesian Region of Evidence

bff

cicalibrate

R package for computing support intervals for univariate parameters based on confidence intervals or parameter estimates with standard errors.

confmeta

covid19-misinfo

Measuring the Impact‌ ‌of‌ ‌Exposure‌ ‌to‌ ‌COVID-19‌ ‌Vaccine‌ ‌Misinformation‌ ‌on‌ Vaccine Intent

ecoci

Code related to Pawel, S., Ly, A., and Wagenmakers, E.-J. (2023). Evidential Calibration of Confidence Intervals. The American Statistician. https://doi.org/10.1080/00031305.2023.2216239

papertemplate

Scientific paper template using R + knitr + make + Docker workflow

pfors

Code related to Pawel, S., Held. L. (2020). Probabilistic forecasting of replication studies. https://doi.org/10.1371/journal.pone.0231416

pppooling

Code related to Pawel, S., Aust, F., Held, L., and Wagenmakers, E.-J. (2023). Normalized power priors always discount historical data. https://doi.org/10.1002/sta4.591

pprep

R package for Bayesian analysis of replication studies using power prior approaches.

ppreplication

Code related to Pawel, S., Aust, F., Held, L., and Wagenmakers, E.-J. (2023). Power priors for replication studies. https://doi.org/10.1007/s11749-023-00888-5

presentationsta426

recipes

A repository where I store cooking and baking recipes

rsgolden

Files for reproducing analyses in Held, L., Micheloud, C., Pawel, S. The assessment of replication success based on relative effect size. https://doi.org/10.1214/21-AOAS1502

samch93.github.io

Personal website

simpaper

Files to reproduce simulation studies and analyses in Pawel, S., Kook, L., Reeve, K. (2022). Pitfalls and Potentials in Simulation Studies.

swihack-comments

Repository for multilingual comments comparison project at swihack hackathon 2020

thesis

Files for reproducing the PhD thesis "Reverse-Bayes Methods for Replication Studies" by Samuel Pawel

uzh_epibiostat_methodsseminar_ss2020_deeplearning

UZH Epi/Biostat Methods Seminar Spring 2020: Deep Learning