18 citations · 31 across the 14 of their papers we have counts for
5 papers · 1 filter
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Panel Experiments
Dae Woong Ham, Iavor Bojinov, Michael Lindon +1
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. Beyond aiding managerial decision-making, experiments…
Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
Michael Lindon, Dae Woong Ham, Martin Tingley +1
Linear models are foundational tools in statistics and ubiquitous across the applied sciences. However, conventional statistical inference -- such as -tests and -tests -- are…
Benefits and costs of matching prior to a Difference in Differences analysis when parallel trends does not hold
Dae Woong Ham, Luke Miratrix
The Difference in Difference (DiD) estimator is a popular estimator built on the "parallel trends" assumption, which is an assertion that the treatment group, absent treatment, wou…
Hypothesis Testing in Sequentially Sampled Data: AdapRT to Maximize Power Beyond iid Sampling
Dae Woong Ham, Jiaze Qiu
Testing whether a variable of interest affects the outcome is one of the most fundamental problem in statistics and is often the main scientific question of interest. To tackle thi…
Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis
Dae Woong Ham, Kosuke Imai, Lucas Janson
Conjoint analysis is a popular experimental design used to measure multidimensional preferences. Researchers examine how varying a factor of interest, while controlling for other r…