activity
20152022
most citedReproducible Research Can Still Be Wrong: Adopting a Prevention Approach

203 citations · 205 across the 3 of their papers we have counts for

collaborators

6 papers

q-bio.QM20222 cited

Implications of Mortality Displacement for Effect Modification and Selection Bias

Honghyok Kim, Jong-Tae Lee, Roger D. Peng +2

Mortality displacement is the concept that deaths are moved forward in time (e.g., a few days, several months, and years) by exposure from when they would occur without the exposur…

stat.OT2021

Perspective on Data Science

Roger D. Peng, Hilary S. Parker

The field of data science currently enjoys a broad definition that includes a wide array of activities which borrow from many other established fields of study. Having such a vague…

stat.OT2020

Reproducible Research: A Retrospective

Roger D. Peng, Stephanie C. Hicks

Rapid advances in computing technology over the past few decades have spurred two extraordinary phenomena in science: large-scale and high-throughput data collection coupled with t…

stat.OT2019

Evaluating the Success of a Data Analysis

Stephanie C. Hicks, Roger D. Peng

A fundamental problem in the practice and teaching of data science is how to evaluate the quality of a given data analysis, which is different than the evaluation of the science or…

stat.AP2019

Elements and Principles for Characterizing Variation between Data Analyses

Stephanie C. Hicks, Roger D. Peng

The data revolution has led to an increased interest in the practice of data analysis. For a given problem, there can be significant or subtle differences in how a data analyst con…

stat.AP2015203 cited

Reproducible Research Can Still Be Wrong: Adopting a Prevention Approach

Jeffrey T. Leek, Roger D. Peng

Reproducibility, the ability to recompute results, and replicability, the chances other experimenters will achieve a consistent result, are two foundational characteristics of succ…