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.
Study definitions describing the tasks, surveys, and schedules of the My Heart Counts cardiovascular health study.
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.
Phylogeny-aware power analysis and sample-size estimation for microbiome community studies (metagenomic and metaproteomic)
This course is designed to help researchers understand clinical data, covering questions such as: Where does clinical data come from? What makes it unique? What are special considerations for its handling and management?
Python mirror of recoverlite: pre-data recovery tests for planned study designs (protocol-identical to the R package; results agree within Monte Carlo error)
A Shiny app for designing spatially explicit capture–recapture studies
Updated version
Literature and simulation (using R) resources for the study design and statistical analysis of RAND/UCLA Method (RAM) consensus studies.
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.
The case time series design
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.
Local-first construct and operational-definition canvas for research-methods planning.
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.
Multi-omic DL pipeline proposal: emphasizes the clinical + modeling angles
Sample size estimation for single cell studies
Sample-size & power calculator — Python package + Claude Code plugin
To associate your repository with the study-design topic, visit your repo's landing page and select "manage topics."