Coder Social home page Coder Social logo

jwatowatson / platcov-molnupiravir Goto Github PK

View Code? Open in Web Editor NEW
1.0 1.0 0.0 272.7 MB

Molnupiravir versus nirmatrelvir+ritonavir versus no study drug

License: Creative Commons Zero v1.0 Universal

HTML 44.29% JavaScript 28.96% CSS 5.14% Stan 6.04% R 15.57%

platcov-molnupiravir's Introduction

Molnupiravir versus Paxlovid

This repository provides the code and data underlying the molnupiravir versus ritonavir-boosted nirmatrelvir (paxlovid) versus no study drug comparison in the PLATCOV trial.

This github repository accompanies our publication in Lancet Infectious Diseases: "Antiviral efficacy of molnupiravir versus ritonavir-boosted nirmatrelvir in patients with early symptomatic COVID-19 (PLATCOV): an open-label, phase 2, randomised, controlled, adaptive trial"

Overview

The primary three-way analysis is given in the file Molnupiravir_analysis.qmd. This constructs the mITT population, makes a baseline characteristics table, sets up the data for the analysis, and then plots the outputs. It also looks at fever clearance and time to symptom resolution. All models are run in stan and the stan code is provided in the folder Stan_models. The data are provided in the folder Analysis_Data.

The main result is Figure 2 in the paper (I think my version is better than the published Lancet version as they have an ill-advised policy of removing grid lines and taking away the fading of the individual data points):

In addition, the file Meta_analysis_IPD.qmd runs a meta-analysis of all unblinded patients randomised to small molecule drugs in the PLATCOV trial since the start of platform (same site, but not all randomised concurrently). We add a slope/intercept covariate for trial epoch (defined as times when interventions entered or left the platform) to adjust for possible temporal confounding. The main result is Figure 5 in the paper showing the estimated ranking of the antiviral drugs (effects relative to no study drug arm):

Data

The raw data are given as csv files in the folder Analysis_Data. The version of the SAP used for this analysis is provided in the main folder (PLATCOV_SAP_v3.1_11032023.pdf)

Any questions or bugs spotted send me a msg at jwatowatson at gmail dot com

platcov-molnupiravir's People

Contributors

jwatowatson avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.