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20152022
most citedA bracketing relationship between difference-in-differences and lagged-dependent-variable adjustment

11 citations · 33 across the 9 of their papers we have counts for

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8 papers · 1 filter

stat.AP2020

swdpwr: A SAS Macro and An R Package for Power Calculation in Stepped Wedge Cluster Randomized Trials

Jiachen Chen, Xin Zhou, Fan Li +1

Background and objective: The stepped wedge cluster randomized trial is a study design increasingly used for public health intervention evaluations. Most previous literature focuse…

stat.AP2020

Causal Mediation Analysis for Sparse and Irregular Longitudinal Data

Shuxi Zeng, Stacy Rosenbaum, Elizabeth Archie +2

Causal mediation analysis seeks to investigate how the treatment effect of an exposure on outcomes is mediated through intermediate variables. Although many applications involve lo…

stat.AP20204 cited

Is being an only child harmful to psychological health?: Evidence from an instrumental variable analysis of China's One-Child Policy

Shuxi Zeng, Fan Li, Peng Ding

This paper evaluates the effects of being an only child in a family on psychological health, leveraging data on the One-Child Policy in China. We use an instrumental variable appro…

stat.AP2019

Design and analysis considerations for cohort stepped wedge cluster randomized trials with a decay correlation structure

Fan Li

A stepped wedge cluster randomized trial is a type of longitudinal cluster design that sequentially switches clusters to intervention over time until all clusters are treated. Whil…

stat.AP201911 cited

A bracketing relationship between difference-in-differences and lagged-dependent-variable adjustment

Peng Ding, Fan Li

Difference-in-differences is a widely-used evaluation strategy that draws causal inference from observational panel data. Its causal identification relies on the assumption of para…

stat.AP2019

Double-Robust Estimation in Difference-in-Differences with an Application to Traffic Safety Evaluation

Fan Li

Difference-in-differences (DID) is a widely used approach for drawing causal inference from observational panel data. Two common estimation strategies for DID are outcome regressio…