Citation Impact
Citing Papers
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
2014 Standout
Econometric Analysis of Cross Section and Panel Data
2001 Standout
Targeted Maximum Likelihood Learning
2006
Concordance for prognostic models with competing risks
2014
Consistent Estimation of the Expected Brier Score in General Survival Models with Right‐Censored Event Times
2006
Variance stabilization applied to microarray data calibration and to the quantification of differential expression
2002 Standout
Quantifying the predictive accuracy of time-to-event models in the presence of competing risks
2011
Stability Analysis of Learning Algorithms for Blind Source Separation
1997
Causal Effects of Monetary Shocks: Semiparametric Conditional Independence Tests with a Multinomial Propensity Score
2008 StandoutNobel
A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator from Censored Data
1997
Identification and Inference in Nonlinear Difference-in-Differences Models
2006 StandoutNobel
Recent Developments in the Econometrics of Program Evaluation
2009 StandoutNobel
Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff
2015 StandoutNobel
Case-control studies with contaminated controls
1996 StandoutNobel
Computer Simulation of Liquids
2017 Standout
Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation
2017 StandoutNobel
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
2015 Standout
Sensitivity to Exogeneity Assumptions in Program Evaluation
2003 StandoutNobel
How much should we trust staggered difference-in-differences estimates?
2022 Standout
Nonparametric Tests for Treatment Effect Heterogeneity
2008 StandoutNobel
Double/debiased machine learning for treatment and structural parameters
2017 StandoutNobel
Nonparametric IV estimation of local average treatment effects with covariates
2006
Propensity Score Matching and Subclassification in Observational Studies with Multi-Level Treatments
2016 StandoutNobel
Double/Debiased/Neyman Machine Learning of Treatment Effects
2017 StandoutNobel
Recursive partitioning for heterogeneous causal effects
2016 StandoutNobel
Large Sample Properties of Matching Estimators for Average Treatment Effects
2005 StandoutNobel
Asymptotics for Statistical Treatment Rules
2009
Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?
2007 Standout
Credible School Value-Added with Undersubscribed School Lotteries
2021 StandoutNobel
Efficient Estimation of Linear and Type I Censored Regression Models Under Conditional Quantile Restrictions
1990
Combining Panel Data Sets with Attrition and Refreshment Samples
2001 StandoutNobel
Asymptotic Bayesian analysis based on a limited information estimator
1999
On Profile Likelihood
2000
Semiparametric Efficient Estimation of a Conditional Density with Missing or Mismeasured Covariates
1995
Efficient estimation and stratified sampling
1996 StandoutNobel
Predicting the efficacy of future training programs using past experiences at other locations
2004 StandoutNobel
Efficient semiparametric estimation of multi-valued treatment effects under ignorability
2009
Semiparametric econometrics: A survey
1988
Machine Learning Methods That Economists Should Know About
2019 StandoutNobel
Estimation of some partially specified nonlinear models
1997 StandoutNobel
Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings
2002 StandoutNobel
Statistical pattern recognition: a review
2000 Standout
A causal bootstrap
2021 StandoutNobel
Dealing with limited overlap in estimation of average treatment effects
2009 StandoutNobel
Doubly robust difference-in-differences estimators
2020
Efficient Semiparametric Estimation of Quantile Treatment Effects
2007
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
2003 StandoutNobel
Error Bands for Impulse Responses
1999 StandoutNobel
Democracy Does Cause Growth
2018 StandoutNobel
Optimal Inference in Regression Models with Nearly Integrated Regressors
2006
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
2002 StandoutNobel
Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players
2001 StandoutNobel
Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges
2017 StandoutNobel
Difference-in-differences with variation in treatment timing
2021 Standout
Bias-Corrected Matching Estimators for Average Treatment Effects
2010 StandoutNobel
Estimation of Regression Coefficients When Some Regressors are not Always Observed
1994 Standout
Mostly Harmless Econometrics
2009 StandoutNobel
Risk Taking by Mutual Funds as a Response to Incentives
1997 Standout
MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY
1990 Standout
Root-N-Consistent Semiparametric Regression
1988 Standout
Rao's score, Neyman's C(α) and Silvey's LM tests: an essay on historical developments and some new results
2001
Regularization and Variable Selection Via the Elastic Net
2005 Standout
A Theory of Statistical Models for Monte Carlo Integration
2003
Economies of Scale, Household Size, and the Demand for Food
1998 StandoutNobel
A Martingale Representation for Matching Estimators
2012 StandoutNobel
Semiparametric efficiency bounds
1990
A Multidimensional Index and Staging System for Idiopathic Pulmonary Fibrosis
2012 Standout
When to Control for Covariates? Panel Asymptotics for Estimates of Treatment Effects
2004 StandoutNobel
Alzheimer's Disease Neuroimaging Initiative (ADNI)
2009 Standout
Combining Micro and Macro Data in Microeconometric Models
1994 StandoutNobel
ARCH modeling in finance
1992 Standout
Some Aspects of Asymptotic Theory with Applications to Time Series Models
1995
Finding predictive gene groups from microarray data
2004
Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
1999
Works of Anton Schίck being referenced
On Asymptotically Efficient Estimation in Semiparametric Models
1986
Asymptotically uniformly most powerful tests in parametric and semiparametric models
1996
Efficient and Adaptive Estimation for Semiparametric Models.
1994
A note on the construction of asymptotically linear estimators
1987