Nicole E. Pashley

activity

20172026

most citedDesign-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs

19 citations · 58 across the 15 of their papers we have counts for

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stat.ME2024

Bounds on causal effects in $2^{K}$ factorial experiments with non-compliance

Matthew Blackwell, Nicole E. Pashley

Factorial experiments are ubiquitous in the social and biomedical sciences, but when units fail to comply with each assigned factors, identification and estimation of the average t…

stat.ME2024

Design-based Causal Inference for Incomplete Block Designs

Taehyeon Koo, Nicole E. Pashley

Researchers often turn to block randomization to increase the precision of their inference or due to practical considerations, such as in multisite trials. However, if the number o…

Bounds on causal effects in 2K factorial experiments with non-compliance

Design-based Causal Inference for Incomplete Block Designs

Bounds on causal effects in $2^{K}$ factorial experiments with non-compliance