An application designed to help researchers and managers plan animal tracking projects tailored to their specific research questions.

Prioritize variables in observational study design through the joint variable importance plot; shiny app: https://ldliao.shinyapps.io/jointVIP/

AWARE is a decision support tool for Avoiding WAste in health REsearch. It allows users to upload studies and assess their value for decision-making. In development.

Literature and simulation (using R) resources for the study design and statistical analysis of RAND/UCLA Method (RAM) consensus studies.

Pre-data recovery tests for planned study designs: simulate whether a planned design-analysis pair can recover its target estimand, with PASS/RISK/FAIL verdicts under versioned threshold profiles. Companion R package to the recovery-test methods paper.

Davis, K. L., Silverman, E. D., Sussman, A. L., Wilson, R. R., Zipkin, E. F. (2022). Errors in aerial survey count data: Identifying pitfalls and solutions. Ecology and Evolution 12:e8733.

Can this design detect the effect it is looking for? Simulation-based power, minimum designs, and detection ceilings for precision psychotherapy studies under therapist nesting.

A Shiny app for designing spatially explicit capture–recapture studies

Updated version

This repository is used for a simulated scripted exposure study in Potsdam. The aim of the study is to assess air quality using sonification. The study design should ensure robust air quality values and good comparability during the study.

This repository showcases key study designs used in public health research, providing a practical, hands-on learning resource for students and early-career researchers. It covers the full research workflow—from problem definition and study design to statistical analysis and interpretation—using structured examples and synthetic datasets.

Local-first construct and operational-definition canvas for research-methods planning.

Multi-omic DL pipeline proposal: emphasizes the clinical + modeling angles

The case time series design

Production code for adaptive behavioral choice studies on human cognition in probabilistic situations (aka decisions under risk).

A tool to estimate the power of detecting a difference in smolt-to-adult ratios (SARs) between transported and migrant salmon

Data and R scripts supporting "Too few, too many, or just right? Optimizing sample sizes for population-level inferences in animal tracking projects"

Analysis of MechaCar dataset to establish relationships between features and miles per gallon(mpg) on a variety of cars. Various types of statistical analysis were performed using RStudio to establish potential relationships and the accuracy of each test respectively.

Sample size estimation for single cell studies

Sample-size & power calculator — Python package + Claude Code plugin