Subgroup Analysis via Recursive Partitioning
نویسندگان
چکیده
منابع مشابه
Subgroup Analysis via Recursive Partitioning
Subgroup analysis is an integral part of comparative analysis where assessing the treatment effect on a response is of central interest. Its goal is to determine the heterogeneity of the treatment effect across subpopulations. In this paper, we adapt the idea of recursive partitioning and introduce an interaction tree (IT) procedure to conduct subgroup analysis. The IT procedure automatically f...
متن کاملRecursive Partitioning via Discriminant Functions for Rating
Aim of this paper is to propose a nonparametric method for the rating of financial stocks, such as Mutual Funds, Corporates, Equities etc. To this purpose, we refer to a procedure based on the joint use of linear discriminant analysis and tree based recursive partitioning. This method is applied when dealing with large sets of within-groups correlated covariates in order to overcome the dimensi...
متن کاملGlobal Model Interpretation via Recursive Partitioning
In this work, we propose a simple but eective method to interpret black-box machine learning models globally. at is, we use a compact binary tree, the interpretation tree, to explicitly represent the most important decision rules that are implicitly contained in the black-box machine learning models. is tree is learned from the contribution matrix which consists of the contributions of input...
متن کاملA recursive partitioning approach for subgroup identification in individual patient data meta-analysis.
BACKGROUND Motivated by the setting of clinical trials in low back pain, this work investigated statistical methods to identify patient subgroups for which there is a large treatment effect (treatment by subgroup interaction). Statistical tests for interaction are often underpowered. Individual patient data (IPD) meta-analyses provide a framework with improved statistical power to investigate s...
متن کاملAverage treatment effect estimation via random recursive partitioning
A new matching method is proposed for the estimation of the average treatment effect of social policy interventions (e.g., training programs or health care measures). Given an outcome variable, a treatment and a set of pre-treatment covariates, the method is based on the examination of random recursive partitions of the space of covariates using regression trees. A regression tree is grown eith...
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: SSRN Electronic Journal
سال: 2009
ISSN: 1556-5068
DOI: 10.2139/ssrn.1341380