Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants
Authors: Isabel Chien, Wessel P Bruinsma, Javier Gonzalez, Richard E. Turner
ICML 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We evaluate SAFE-T on a thorough set of synthetic scenarios (Sec. 5.1), differing subgroup distributions (Sec. 5.2), and sample size variations (Sec. 5.3). In Sec. 5.4, we apply SAFE-T to a new adaptive setting, demonstrating possible future extensions. |
| Researcher Affiliation | Collaboration | 1University of Cambridge, Cambridge, UK 2Microsoft Research AI for Science 3Microsoft Research. |
| Pseudocode | Yes | We first discuss important components of SAFE-T and then detail the algorithm in Section 3.2, with pseudocode in Algorithm 1. |
| Open Source Code | No | The paper does not provide any explicit statements about open-source code availability or links to a code repository for the methodology described. |
| Open Datasets | No | The paper uses 'synthetic scenarios' which are constructed by the authors based on literature, but no concrete access information (link, DOI, repository, or formal citation to a public dataset) is provided for these scenarios. |
| Dataset Splits | No | The paper does not specify explicit training, validation, or test dataset splits (e.g., percentages or sample counts) for the synthetic scenarios used in the experiments. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, memory, or cloud instance types) used for running the experiments. |
| Software Dependencies | No | The paper mentions software like 'Py MC' and 'GPy Torch' for implementation but does not provide specific version numbers for these or other software dependencies. |
| Experiment Setup | Yes | We define νT = 0.2 for the safety constraint and νE = 0.2 (needed when UCB efficacy optimization is used)... Both the toxicity and efficacy GPs use constant mean functions (we set mean = 0.3 for toxicity and mean = 0.1 for efficacy) and the stationary radial basis function kernel (RBF kernel) as the covariance function (we set length scale = 4 for toxicity and length scale = 2 for efficacy). We also set the matrix A, with Q rows and S columns, which is composed of the coefficients a(i) s of the LMC model to 1.0 0 0.2 0.2 0 1.0. |