A Bayesian model of dose-response for cancer drug studies
From MaRDI portal
Publication:2154172
DOI10.1214/21-AOAS1485zbMath1498.62258arXiv1906.04072OpenAlexW3137914779MaRDI QIDQ2154172
Wesley Tansey, David M. Blei, Christopher Tosh
Publication date: 14 July 2022
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1906.04072
Inference from stochastic processes and prediction (62M20) Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Adjusting batch effects in microarray expression data using empirical Bayes methods
- The horseshoe estimator: posterior concentration around nearly black vectors
- Slice sampling. (With discussions and rejoinder)
- The horseshoe+ estimator of ultra-sparse signals
- Locally adaptive smoothing with Markov random fields and shrinkage priors
- Toxicity profiling of engineered nanomaterials via multivariate dose-response surface modeling
- Bayesian joint modeling of chemical structure and dose response curves
- A Bayesian regression tree approach to identify the effect of nanoparticles' properties on toxicity profiles
- Adaptive piecewise polynomial estimation via trend filtering
- Penalized regression, standard errors, and Bayesian Lassos
- Bayesian monotone regression using Gaussian process projection
- Bayesian Nonparametric Modeling Using Mixtures of Triangular Distributions
- Bayesian Isotonic Regression and Trend Analysis
- A Bayesian Approach to Non-Parametric Monotone Function Estimation
- On the Second‐Order Random Walk Model for Irregular Locations
- The horseshoe estimator for sparse signals
- Bayesian Nonparametric Estimation of Continuous Monotone Functions with Applications to Dose–Response Analysis
- $\ell_1$ Trend Filtering
- Bayesian Multivariate Isotonic Regression Splines
- Hierarchical dose–response modeling for high‐throughput toxicity screening of environmental chemicals
- Dynamic Shrinkage Processes
- Bayesian additive adaptive basis tensor product models for modeling high dimensional surfaces: an application to high‐throughput toxicity testing
- Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
- Deviance information criteria for missing data models