9 citations · 32 across the 16 of their papers we have counts for
5 papers · 1 filter
Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment
Kosuke Imai, Zhichao Jiang, James Greiner +2
Despite an increasing reliance on fully-automated algorithmic decision-making in our day-to-day lives, human beings still make highly consequential decisions. As frequently seen in…
Multiply robust estimation of causal effects under principal ignorability
Zhichao Jiang, Shu Yang, Peng Ding
Causal inference concerns not only the average effect of the treatment on the outcome but also the underlying mechanism through an intermediate variable of interest. Principal stra…
Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments
Zhichao Jiang, Kosuke Imai, Anup Malani
Two-stage randomized experiments are becoming an increasingly popular experimental design for causal inference when the outcome of one unit may be affected by the treatment assignm…
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables
Zhichao Jiang, Peng Ding
In causal inference, principal stratification is a framework for dealing with a posttreatment intermediate variable between a treatment and an outcome, in which the principal strat…
Principal Fairness for Human and Algorithmic Decision-Making
Kosuke Imai, Zhichao Jiang
Using the concept of principal stratification from the causal inference literature, we introduce a new notion of fairness, called principal fairness, for human and algorithmic deci…