Base 'DataSHIELD' functions for the server side. 'DataSHIELD' is a software package which allows
    you to do non-disclosive federated analysis on sensitive data. 'DataSHIELD' analytic functions have
    been designed to only share non disclosive summary statistics, with built in automated output
    checking based on statistical disclosure control. With data sites setting the threshold values for
    the automated output checks. For more details, see 'citation("dsBase")'.

Base 'DataSHIELD' functions for the client side. 'DataSHIELD' is a software package which allows
    you to do non-disclosive federated analysis on sensitive data. 'DataSHIELD' analytic functions have
    been designed to only share non disclosive summary statistics, with built in automated output
    checking based on statistical disclosure control. With data sites setting the threshold values for
    the automated output checks. For more details, see citation('dsBaseClient').

Calculate posterior modes and credible intervals of parameters of the Dixon-Simon model for subgroup analysis (with binary covariates) in clinical trials. For details of the methodology, please refer to D.O. Dixon and R. Simon (1991), Biometrics, 47: 871-881.

The D-score summarizes a child's performance on developmental milestones
    into a single number. Its key feature is its generic nature. The method
    does not depend on a specific measurement instrument. The statistical
    method underlying the D-score is described in van Buuren et al. (2025)
    <doi:10.1177/01650254241294033>. This package implements model keys to
    convert milestone scores to D-scores; maps instrument-specific item names
    to a generic 9-position naming convention; computes D-scores and their
    precision from a child's milestone scores; and converts D-scores to
    Development-for-Age Z-scores (DAZ) using age-conditional reference
    standards.

Implements survival proximity score matching in multi-state survival models. Includes tools for simulating survival data and estimating transition-specific coxph models with frailty terms. The primary methodological work on multistate censored data modeling using propensity score matching has been published by Bhattacharjee et al.(2024) <doi:10.1038/s41598-024-54149-y>.