rpact: Confirmatory Adaptive Clinical Trial Design and Analysis
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Updated
Aug 21, 2026 - R
rpact: Confirmatory Adaptive Clinical Trial Design and Analysis
PowerBacGWAS: Power calculations for Bacterial GWAS
Tools for power analysis, sample size requirements, minimum detectable effects (MDE) calculation
Data Analysis Course (EE 201), IIT Dharwad
A comprehensive R package designed for blinded sample size re-estimation (BSSR) in two-arm clinical trials with binary endpoints.
Automated current & illumination test report generator for MEP engineers - Word + PDF output with power calculations
matlab project for calculating Solar PV output power based on rated power and solar irradiance.
This repository contains code to estimate sample size needed to compare dynamic treatment regimens using longitudinal count outcomes from a Sequential Multiple Assignment Randomized Trial (SMART).
Sample-size & power calculator — Python package + Claude Code plugin
An R package to provide comprehensive tools for sample size and power calculation in clinical trials with two co-primary endpoints.
Power Upgrade and Backup Analysis of Electrical Systems at Point-of-Presence
This R code analyses the influence of 2x PARP inhibitors on the presence of 4x immune checkpoint proteins (PD-1, PD-L1, CTLA-4 & SIRP) in a group of Ovarian Cancer patients pre, during and post treatment.
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