
The Frisch–Waugh–Lovell Theorem for Standard Errors
The Frisch–Waugh–Lovell Theorem states the equivalence of the coefficien...
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Identification of Causal Effects Within Principal Strata Using Auxiliary Variables
In causal inference, principal stratification is a framework for dealing...
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Is being an only child harmful to psychological health?: Evidence from an instrumental variable analysis of China's OneChild Policy
This paper evaluates the effects of being an only child in a family on p...
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Is being the only child harmful to psychological health?: Evidence from an instrumental variable analysis of China's OneChild Policy
This paper evaluates the effects of being the only child in a family on ...
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Assessing causal effects in the presence of treatment switching through principal stratification
Clinical trials focusing on survival outcomes often allow patients in th...
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Conservative Wasserstein Training for Pose Estimation
This paper targets the task with discrete and periodic class labels (e.g...
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Sharp bounds on the relative treatment effect for ordinal outcomes
For ordinal outcomes, the average treatment effect is often illdefined ...
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Rerandomization and Regression Adjustment
Randomization is a basis for the statistical inference of treatment effe...
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Measurement errors in the binary instrumental variable model
Instrumental variable methods can identify causal effects even when the ...
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Randomization tests for peer effects in group formation experiments
Measuring the effect of peers on individual outcomes is a challenging pr...
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A bracketing relationship between differenceindifferences and laggeddependentvariable adjustment
Differenceindifferences is a widelyused evaluation strategy that draw...
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Two paradoxical results in linear models: the variance inflation factor and the analysis of covariance
A result from a standard linear model course is that the variance of the...
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Rerandomization in 2^K Factorial Experiments
With many pretreatment covariates and treatment factors, the classical f...
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Randomization Tests for Weak Null Hypotheses
The Fisher randomization test (FRT) is applicable for any test statistic...
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Randomization Inference for Peer Effects
Many previous causal inference studies require no interference among uni...
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Regression adjustment in randomized experiments with a diverging number of covariates
Extending R. A. Fisher and D. A. Freedman's results on the analysis of c...
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Using Survival Information in Truncation by Death Problems Without the Monotonicity Assumption
In some randomized clinical trials, patients may die before the measurem...
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Combining multiple observational data sources to estimate causal effects
The era of big data has witnessed an increasing availability of multiple...
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Causal Inference: A Missing Data Perspective
Inferring causal effects of treatments is a central goal in many discipl...
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Overlap in Observational Studies with HighDimensional Covariates
Causal inference in observational settings typically rests on a pair of ...
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Peng Ding
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