Nonparametric estimator of the cumulative incidences of competing risks under double truncation. The estimator generalizes the Efron-Petrosian NPMLE (Non-Parametric Maximun Likelihood Estimator) to the competing risks setting. Efron, B. and Petrosian, V. (1999) <doi:10.2307/2669997>.

Non-iterative estimator for the cumulative distribution of a doubly truncated variable. de Uña-Álvarez J. (2018) <doi:10.1007/978-3-319-73848-2_37>.

Provides functions for planning clinical trials subject to a delayed
    treatment effect using assurance-based methods. Includes two 'shiny'
    applications for interactive exploration, simulation, and visualisation of
    trial designs and outcomes. The methodology is described in:
    Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024)
    "Assurance methods for designing a clinical trial with a delayed treatment
    effect" <doi:10.1002/sim.10136>,
    Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024)
    "Adaptive clinical trial design with delayed treatment effects using
    elicited prior distributions" <doi:10.48550/arXiv.2509.07602>.

Implements a Bayesian Optimal Phase II design (DTE-BOP2) for trials with delayed treatment effects, particularly relevant to immunotherapy studies where treatment benefits may emerge after a delay. The method builds upon the BOP2 framework and incorporates uncertainty in the delay timepoint through a truncated gamma prior, informed by expert knowledge or default settings. Supports two-arm trial designs with functionality for sample size determination, interim and final analyses, and comprehensive simulation under various delay and design scenarios. Ensures rigorous type I and II error control while improving trial efficiency and power when the delay effect is present. A manuscript describing the methodology is under development and will be formally referenced upon publication.

The Discrete Transmuted Generalized Inverse Weibull (DTGIW) distribution is a new distribution for count data analysis. The DTGIW is discrete distribution based on Atchanut and Sirinapa (2021). <DOI: 10.14456/sjst-psu.2021.149>.