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  1. MultSampSize MultSampSize Public

    Shiny app for calculating the required sample size when using a latent variable model for mixed outcome endpoints

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  2. augbin_rheum augbin_rheum Public

    R package for analysing composite responder endpoints in rheumatology with up to two continuous and one binary components using a latent variable model

    HTML 1

  3. Complex-Composite-Endpoints Complex-Composite-Endpoints Public archive

    Code for fitting latent variable model to multivariate mixed outcome composite endpoints. Superseded by R package under 'martinamcm/augbin_rheum' and Shiny app under 'martinamcm/AugBin'.

    R

  4. AugBin AugBin Public

    Shiny app to implement efficient analysis of mixed outcome composite responder endpoints

    R

  5. PSAresp PSAresp Public

    Analysis of single arm Prostate-specific antigen scores using augmented and binary methods

    R 1

  6. mult_sampsize mult_sampsize Public

    R package for determining sample size required in studies using multivariate mixed continuous and discrete outcomes when analysed using a latent variable model. Allows for composite, co-primary and…

    HTML