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@StatisticsHealthEconomics

Statistics for Health Economic Evaluation

The Statistics for Health Economic Evaluation Group, led by Prof Gianluca Baio, is a research group based in the Department of Statistical Science.
README.md

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Popular repositories

  1. HTAinRmanifesto HTAinRmanifesto Public

    R 4 1

  2. BayesianMixtureCure BayesianMixtureCure Public

    Bayesian Mixture Cure Modelling in Stan

    Stan 3 2

  3. Polished-Fribble Polished-Fribble Public

    Forked from Edwinyrl/Polished-Fribble

    Login system for stats department

    R 2 3

  4. stat0019_binder stat0019_binder Public

    This repo is used to create a fully functional Rstudio environment for computation

    R 2

  5. blendR-paper blendR-paper Public

    HTML 2 1

  6. covid covid Public

    The project can be split into different sub-projects (easy-medium difficulty: meta-analysis of COVID vaccines; medium-high difficulty: estimating excess mortality due to COVID). Requires skills in …

    2

Repositories

Showing 10 of 15 repositories
  • stat0019_binder Public

    This repo is used to create a fully functional Rstudio environment for computation

    R 2 0 0 0 Updated Mar 13, 2024
  • covid Public

    The project can be split into different sub-projects (easy-medium difficulty: meta-analysis of COVID vaccines; medium-high difficulty: estimating excess mortality due to COVID). Requires skills in R and will require some learning on Bayesian modelling.

    2 0 0 0 Updated Feb 26, 2024
  • mimR Public

    An R package for multiple imputation marginalisation.

    R 1 GPL-3.0 0 9 0 Updated Feb 14, 2024
  • speed-limits Public

    The project aims at using quasi-experimental designs to estimate the impact of policy reducing speed limits in major cities, on the number of road accidents. It is based on Bayesian hierarchical modelling and Poisson regression

    2 0 0 0 Updated Feb 1, 2024
  • blendR Public

    Blended survival analysis

    R 1 GPL-3.0 0 5 0 Updated Dec 5, 2023
  • gender-bias-in-hiring Public

    The project can be split into different sub-projects (easy difficulty: replication of the published meta-analysis for evidence of gender bias in hiring decisions; medium for newer modelling). Requires skills in R and will require some learning on Bayesian modelling.

    0 0 0 0 Updated Dec 4, 2023
  • london-bikes Public

    Estimate the relationship between the number of bikes shared around the London network on a given day, depending on weather and other characteristics to predict the capacity needed to satisfy demand at any given point. Requires R and familiarity with non-linear regression models

    0 0 0 0 Updated Nov 22, 2023
  • blendR-paper Public
    HTML 2 1 1 1 Updated Sep 17, 2023
  • .github Public
    0 0 0 0 Updated May 21, 2023
  • BayesianMixtureCure Public

    Bayesian Mixture Cure Modelling in Stan

    Stan 3 2 1 0 Updated Jan 11, 2023
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