Health Intervention Analytics (HIA) lab
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adaptive_nof1
adaptive_nof1 PublicFramework for design and evaluation of Bandit algorithms with underlying Bayesian models
Jupyter Notebook 2
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studyu-v2
studyu-v2 PublicForked from hpi-studyu/studyu
StudyU is a fully‑functional platform for personalized N‑of‑1 treatment advice.
Dart 1
Repositories
- Causal_Inference_Nof1_trial_acne Public
R code used for the data analysis presented in the manuscript "Causal inference for N-of-1 trials" (https://arxiv.org/pdf/2406.10360)
HIAlab/Causal_Inference_Nof1_trial_acne’s past year of commit activity - adaptive_nof1 Public
Framework for design and evaluation of Bandit algorithms with underlying Bayesian models
HIAlab/adaptive_nof1’s past year of commit activity - gait_nof1trials Public
R code of project on reanalyzing population-level study data on gait through an N-of-1 trial perspective
HIAlab/gait_nof1trials’s past year of commit activity - Acne_Multimodal_Nof1 Public
Projects on N-of-1 trials with multimodal outcomes including images, audio and video
HIAlab/Acne_Multimodal_Nof1’s past year of commit activity - HPIclassroomNof1trials Public
Study protocol, data, and R/Python code of classroom project on N-of-1 trials for sleep
HIAlab/HPIclassroomNof1trials’s past year of commit activity - Reinforcement-learning-agents-in-N-of-1-trials Public
This is the code for the design, evaluation and implementation of contextual bandits to learn optimal physical exercises regimes that decrease pain in endometriosis patients.
HIAlab/Reinforcement-learning-agents-in-N-of-1-trials’s past year of commit activity
