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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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  1. HTAinRmanifesto HTAinRmanifesto Public

    R 5 1

  2. outstandR outstandR Public

    An R package for model-based standardisation.

    R 5 1

  3. BayesianMixtureCure BayesianMixtureCure Public

    Bayesian Mixture Cure Modelling in Stan

    Stan 4 2

  4. stat0019_binder stat0019_binder Public

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

    R 3

  5. speed-limits 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 mo…

    3

  6. Polished-Fribble Polished-Fribble Public

    Forked from Edwinyrl/Polished-Fribble

    Login system for stats department

    R 2 3

Repositories

Showing 10 of 16 repositories
  • stat0019_binder Public

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

    R 3 0 0 0 Updated May 6, 2025
  • outstandR Public

    An R package for model-based standardisation.

    R 5 GPL-3.0 1 22 0 Updated May 2, 2025
  • multimcm Public

    Bayesian relative mixture cure modelling with Stan.

    R 0 0 18 0 Updated Apr 23, 2025
  • blendR Public

    Blended survival analysis

    R 1 GPL-3.0 1 6 0 Updated Feb 3, 2025
  • 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.

    1 1 0 0 Updated Jan 30, 2025
  • 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

    3 0 0 0 Updated Oct 7, 2024
  • Epitome Public

    EPITOME project

    JavaScript 1 0 0 0 Updated Aug 5, 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 1 0 0 Updated Feb 26, 2024
  • 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
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