activity
20192026
most citedDesign Principles for Data Analysis

13 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ME2026

Randomization inference for treatment effects on survival outcomes

Lucy D'Agostino McGowan, Joseph Rigdon, Xinran Li +1

The log-rank test and Kaplan--Meier plot are standard tools for analyzing time-to-event data in randomized clinical trials, yet neither provides a summary of the magnitude of the t…

stat.ME2023★ 2 cited

Causal inference is not just a statistics problem

Lucy D'Agostino McGowan, Travis Gerke, Malcolm Barrett

This paper introduces a collection of four data sets, similar to Anscombe's Quartet, that aim to highlight the challenges involved when estimating causal effects. Each of the four…

cs.DL2021★ 1 cited

An Open-Publishing Response to the COVID-19 Infodemic

Halie M. Rando, Simina M. Boca, Lucy D'Agostino McGowan +7

The COVID-19 pandemic catalyzed the rapid dissemination of papers and preprints investigating the disease and its associated virus, SARS-CoV-2. The multifaceted nature of COVID-19…

stat.ME2021★ 13 cited

Design Principles for Data Analysis

Lucy D'Agostino McGowan, Roger D. Peng, Stephanie C. Hicks

The data science revolution has led to an increased interest in the practice of data analysis. While much has been written about statistical thinking, a complementary form of think…

q-bio.QM2021★ 2 cited

Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2 through Analysis of Viral Genomics and Structure

Halie M. Rando, Adam L. MacLean, Alexandra J. Lee +31

The novel coronavirus SARS-CoV-2, which emerged in late 2019, has since spread around the world and infected hundreds of millions of people with coronavirus disease 2019 (COVID-19)…

stat.ME2020★ 4 cited

Contextualizing E-values for Interpretable Sensitivity to Unmeasured Confounding Analyses

Lucy D'Agostino McGowan, Robert A. Greevy

The strength of evidence provided by epidemiological and observational studies is inherently limited by the potential for unmeasured confounding. Researchers should present a quant…

stat.CO2019★ 1 cited

Tools for analyzing R code the tidy way

Lucy D'Agostino McGowan, Sean Kross, Jeffrey T. Leek

With the current emphasis on reproducibility and replicability, there is an increasing need to examine how data analyses are conducted. In order to analyze the between researcher v…