Showing 8 of total 8 results (show query)
pharmaverse
admiral:ADaM in R Asset Library
A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>).
Maintained by Ben Straub. Last updated 4 hours ago.
cdiscclinical-trialsopen-source
239 stars 13.93 score 486 scripts 4 dependents
epiforecasts
EpiNow2:Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters
Estimates the time-varying reproduction number, rate of spread, and doubling time using a range of open-source tools (Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>), and current best practices (Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>). It aims to help users avoid some of the limitations of naive implementations in a framework that is informed by community feedback and is actively supported.
Maintained by Sebastian Funk. Last updated 1 months ago.
backcalculationcovid-19gaussian-processesopen-sourcereproduction-numberstancpp
123 stars 11.86 score 210 scripts
rostools
prodigenr:Research Project Directory Generator
Create a project directory structure, along with typical files for that project. This allows projects to be quickly and easily created, as well as for them to be standardized. Designed specifically with scientists in mind (mainly bio-medical researchers, but likely applies to other fields).
Maintained by Luke Johnston. Last updated 4 months ago.
devtoolsopen-scienceopen-sourceproject-managementreproducibilityreproducible-researchreproducible-sciencerstudiousethis
43 stars 6.33 score 25 scripts
ilostat
Rilostat:ILO Open Data via Ilostat Bulk Download Facility
Tools to download data from the [ilostat](<https://ilostat.ilo.org>) database together with search and manipulation utilities.
Maintained by David Bescond. Last updated 23 days ago.
apidatasetopen-sourcepublic-api
34 stars 5.47 score 43 scripts
pythonhealthdatascience
treat.sim:Nelson's Treatment Centre Simulation in Simmer
A discrete-event simulation of a simple urgent care treatment centre simulation from Nelson (2013). Implemented in R Simmer. The model is packaged to allow for easy experimentation, summary of results, and implementation in other software such as a Shiny interface.
Maintained by Thomas Monks. Last updated 8 months ago.
computer-simulationdiscrete-event-simulationhealthopen-modellingopen-scienceopen-sourcer-languagereproducible-researchsimmer
2 stars 4.48 score 5 scripts
shyentist
fishRman:The Fisheries Scientist's Toolbox
A bundle of analytics tools for fisheries scientists. A 'shiny' R App is included for a 'no-code' solution for retrieval, analysis, and visualization.
Maintained by Pasquale Buonomo. Last updated 1 years ago.
dashboardfisheriesfisheries-managementfisheries-researchfishing-effortglobal-fishing-watchglobalfishingwatchmarine-biologyopen-sourceshiny
14 stars 3.85 score 1 scripts
open-and-sustainable
prismaid:Open Science AI Tools for Systematic, Protocol-Based Literature Reviews
prismAId uses generative AI models to extract data from scientific literature. It offers simple-to-use, efficient, and replicable methods for analyzing literature when conducting systematic reviews.
Maintained by Riccardo Boero. Last updated 17 days ago.
generative-aiopen-scienceopen-sourcesystematic-literature-reviews
5 stars 3.78 score 1 scripts
act-org
RSCAT:Shadow-Test Approach to Computerized Adaptive Testing
As an advanced approach to computerized adaptive testing (CAT), shadow testing (van der Linden(2005) <doi:10.1007/0-387-29054-0>) dynamically assembles entire shadow tests as a part of selecting items throughout the testing process. Selecting items from shadow tests guarantees the compliance of all content constraints defined by the blueprint. 'RSCAT' is an R package for the shadow-test approach to CAT. The objective of 'RSCAT' is twofold: 1) Enhancing the effectiveness of shadow-test CAT simulation; 2) Contributing to the academic and scientific community for CAT research. RSCAT is currently designed for dichotomous items based on the three-parameter logistic (3PL) model.
Maintained by Bingnan Jiang. Last updated 3 years ago.
computerized-adaptive-testingitem-response-theoryjavamixed-integer-programmingopen-sourceoptimizationshadow-testingshinyxpress-moselopenjdk
7 stars 3.54 score 6 scripts