High-dimensional inference for personalized treatment decision
نویسندگان
چکیده
منابع مشابه
Inference on Treatment Effects after Selection amongst High-dimensional Controls
We propose robust methods for inference on the effect of a treatment variable on a scalar outcome in the presence of very many controls. Our setting is a partially linear model with possibly non-Gaussian and heteroscedastic disturbances where the number of controls may be much larger than the sample size. To make informative inference feasible, we require the model to be approximately sparse; t...
متن کاملStatistical Inference for High Dimensional Data
STATISTICAL INFERENCE FOR HIGH DIMENSIONAL DATA
متن کاملInference for high-dimensional sparse econometric models
This article is about estimation and inference methods for high dimensional sparse (HDS) regression models in econometrics. High dimensional sparse models arise in situations where many regressors (or series terms) are available and the regression function is wellapproximated by a parsimonious, yet unknown set of regressors. The latter condition makes it possible to estimate the entire regressi...
متن کاملInference for high-dimensional differential correlation matrices
Motivated by differential co-expression analysis in genomics, we consider in this paper estimation and testing of high-dimensional differential correlation matrices. An adaptive thresholding procedure is introduced and theoretical guarantees are given. Minimax rate of convergence is established and the proposed estimator is shown to be adaptively rate-optimal over collections of paired correlat...
متن کاملA Personalized Decision Support System for Medical Treatment Planning
One of the many challenges in the field of medicine is to make the best decisions about optimal treatment plans for patients. Medical practitioners often have differing opinions about the best treatment among multiple available options. While standard protocols are in place for the first and second lines of treatment for most diseases and at most hospitals, a lot of variation exists in the trea...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronic Journal of Statistics
سال: 2018
ISSN: 1935-7524
DOI: 10.1214/18-ejs1439