相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Recursive partitioning for heterogeneous causal effects
Susan Athey et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)
CONSISTENCY OF RANDOM FORESTS
Erwan Scornet et al.
ANNALS OF STATISTICS (2015)
Post hoc subgroups in clinical trials: Anathema or analytics?
Herbert I. Weisberg et al.
CLINICAL TRIALS (2015)
Reinforcement Learning Trees
Ruoqing Zhu et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2015)
Statistical learning and selective inference
Jonathan Taylor et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)
A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates
Lu Tian et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2014)
ASSESSING LACK OF COMMON SUPPORT IN CAUSAL INFERENCE USING BAYESIAN NONPARAMETRICS: IMPLICATIONS FOR EVALUATING THE EFFECT OF BREASTFEEDING ON CHILDREN'S COGNITIVE OUTCOMES
Jennifer Hill et al.
ANNALS OF APPLIED STATISTICS (2013)
ESTIMATING TREATMENT EFFECT HETEROGENEITY IN RANDOMIZED PROGRAM EVALUATION
Kosuke Imai et al.
ANNALS OF APPLIED STATISTICS (2013)
VALID POST-SELECTION INFERENCE
Richard Berk et al.
ANNALS OF STATISTICS (2013)
OPTIMAL WEIGHTED NEAREST NEIGHBOUR CLASSIFIERS
Richard J. Samworth
ANNALS OF STATISTICS (2012)
From concepts, theory, and evidence of heterogeneity of treatment effects to methodological 6approaches: a primer
Richard J. Willke et al.
BMC MEDICAL RESEARCH METHODOLOGY (2012)
Inferring welfare maximizing treatment assignment under budget constraints
Debopam Bhattacharya et al.
JOURNAL OF ECONOMETRICS (2012)
Modeling Heterogeneous Treatment Effects in Survey Experiments with Bayesian Additive Regression Trees
Donald P. Green et al.
PUBLIC OPINION QUARTERLY (2012)
Subgroup identification from randomized clinical trial data
Jared C. Foster et al.
STATISTICS IN MEDICINE (2011)
BART: BAYESIAN ADDITIVE REGRESSION TREES
Hugh A. Chipman et al.
ANNALS OF APPLIED STATISTICS (2010)
Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression
Daniel Westreich et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2010)
On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression and classification
Gerard Biau et al.
JOURNAL OF MULTIVARIATE ANALYSIS (2010)
HIGH-DIMENSIONAL VARIABLE SELECTION
Larry Wasserman et al.
ANNALS OF STATISTICS (2009)
Standard errors for bagged and random forest estimators
Joseph Sexton et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2009)
ASYMPTOTICS FOR STATISTICAL TREATMENT RULES
Keisuke Hirano et al.
ECONOMETRICA (2009)
Non-parametric tests for distributional treatment effect for randomly censored responses
Myoung-jae Lee
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2009)
Model-based recursive partitioning
Achim Zelleis et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2008)
Nonparametric tests for treatment effect heterogeneity
Richard K. Crump et al.
REVIEW OF ECONOMICS AND STATISTICS (2008)
On bagging and nonlinear estimation
Jerome H. Friedman et al.
JOURNAL OF STATISTICAL PLANNING AND INFERENCE (2007)
Bias in random forest variable importance measures: Illustrations, sources and a solution
Carolin Strobl et al.
BMC BIOINFORMATICS (2007)
Random forests and adaptive nearest neighbors
Yi Lin et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2006)
Program evaluation as a decision problem
RH Dehejia
JOURNAL OF ECONOMETRICS (2005)
Propensity score estimation with boosted regression for evaluating causal effects in observational studies
DF McCaffrey et al.
PSYCHOLOGICAL METHODS (2004)
Statistical treatment rules for heterogeneous populations
CF Manski
ECONOMETRICA (2004)
Efficient estimation of average treatment effects using the estimated propensity score
K Hirano et al.
ECONOMETRICA (2003)
Statistical modeling: The two cultures
L Breiman
STATISTICAL SCIENCE (2001)
Subgroup analysis and other (mis)uses of baseline data in clinical trials
SF Assmann et al.
LANCET (2000)
分享论文
