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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.
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Popular repositories

  1. BayesianMixtureCure BayesianMixtureCure Public

    Bayesian Mixture Cure Modelling in Stan

    Stan 4 2

  2. HTAinRmanifesto HTAinRmanifesto Public

    R 4 1

  3. stat0019_binder stat0019_binder Public

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

    R 3

  4. Polished-Fribble Polished-Fribble Public

    Forked from Edwinyrl/Polished-Fribble

    Login system for stats department

    R 2 3

  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 1

Repositories

Showing 10 of 16 repositories
  • multimcm Public

    Bayesian relative mixture cure modelling with Stan.

    StatisticsHealthEconomics/multimcm’s past year of commit activity
    R 0 0 13 0 Updated May 15, 2024
  • stat0019_binder Public

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

    StatisticsHealthEconomics/stat0019_binder’s past year of commit activity
    R 3 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.

    StatisticsHealthEconomics/covid’s past year of commit activity
    2 1 0 0 Updated Feb 26, 2024
  • mimR Public

    An R package for multiple imputation marginalisation.

    StatisticsHealthEconomics/mimR’s past year of commit activity
    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

    StatisticsHealthEconomics/speed-limits’s past year of commit activity
    2 0 0 0 Updated Feb 1, 2024
  • blendR Public

    Blended survival analysis

    StatisticsHealthEconomics/blendR’s past year of commit activity
    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.

    StatisticsHealthEconomics/gender-bias-in-hiring’s past year of commit activity
    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

    StatisticsHealthEconomics/london-bikes’s past year of commit activity
    0 0 0 0 Updated Nov 22, 2023
  • blendR-paper Public
    StatisticsHealthEconomics/blendR-paper’s past year of commit activity
    HTML 2 1 1 1 Updated Sep 17, 2023
  • .github Public
    StatisticsHealthEconomics/.github’s past year of commit activity
    0 0 0 0 Updated May 21, 2023
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