Gathering metadata about publications, patents, grants, clinical trials and policy documents from DS Dimensions using DSL API

PIPET 수련생을 위한 실습교육자료입니다. (R, NCA, Rmarkdown, data science, 임상시험, 약동학/약력학, 논문발표 등)

Winning solution of the Novartis Data Science and Artificial Intelligence 2019/2020 competition

I'm collecting information regarding CDISC

Python for Clinical Study Reports and Submission

Standard health reference databases including units of measurement, biomarkers, medical codes, medications, side-effects, supplements, foods, ingredients, and more.

Statistical package for clinical research in GR

The goal of ‘aldvmm’ is to fit adjusted limited dependent variable mixture models of health state utilities in R. Adjusted limited dependent variable mixture models are finite mixtures of normal distributions with an accumulation of density mass at the limits, and a gap between 100% quality of life and the next smaller utility value. The package…

Tutorials illustrating the use of baseline information to conduct more efficient randomized trials

📃 Treatment-control comparisons in platform trials including non-concurrent controls

Pharmaceutical R&D Pipeline Intelligence MCP Server — Clinical trials, FDA/EMA approvals, safety data. Questions? Start here!

Vaccine/treatment trial progress tracker for the SARS-nCOV-2 virus and COVID-19 research and clinical trials happening all over the world.

Covariate Adjustment in Randomized Trials

This repository is to set-up our blog https://vis-sig.github.io/blog/

📱 Análise de dados do estudo "Smartphone based intervention for depressive symptoms: a randomized non-inferiority clinical trial"

📃 On the inclusion of non-concurrent controls in platform trials with an interim analysis

Clinical trial patient retention simulator. Predicts dropout risk using behavioral decay modeling. Saves CROs millions in trial delays. Enterprise-ready.

This is a toolkit related to TFL (Tables, Figures, and Listings) generation in the field of clinical biostatistics for pharmaceuticals

📂 Model-based time trend adjustments in platform trials with non-concurrent controls

Maziyar Panahi