22 citations · 26 across the 5 of their papers we have counts for
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3 papers · 1 filter
stat.ME2023★ 1 cited
Data fusion using weakly aligned sources
Sijia Li, Peter B. Gilbert, Rui Duan +1
We introduce a new data fusion method that utilizes multiple data sources to estimate a smooth, finite-dimensional parameter. Most existing methods only make use of fully aligned d…
stat.ME2021★ 22 cited
Efficient Estimation Under Data Fusion
Sijia Li, Alex Luedtke
We aim to make inferences about a smooth, finite-dimensional parameter by fusing data from multiple sources together. Previous works have studied the estimation of a variety of par…
stat.ME2021
Estimating the Efficiency Gain of Covariate-Adjusted Analyses in Future Clinical Trials Using External Data
Xiudi Li, Sijia Li, Alex Luedtke
We present a general framework for using existing data to estimate the efficiency gain from using a covariate-adjusted estimator of a marginal treatment effect in a future randomiz…