203 citations · 224 across the 8 of their papers we have counts for
10 papers
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…
A dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air-pollution data
Claire Heffernan, Roger Peng, Drew R. Gentner +2
Low-cost air pollution sensors, offering hyper-local characterization of pollutant concentrations, are becoming increasingly prevalent in environmental and public health research.…
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…
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…
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…
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…
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…
A glass half full interpretation of the replicability of psychological science
Jeffrey T. Leek, Prasad Patil, Roger D. Peng
A recent study of the replicability of key psychological findings is a major contribution toward understanding the human side of the scientific process. Despite the careful and nua…
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…
A randomized trial in a massive online open course shows people don't know what a statistically significant relationship looks like, but they can learn
Aaron Fisher, G. Brooke Anderson, Roger Peng +1
Scatterplots are the most common way for statisticians, scientists, and the public to visually detect relationships between measured variables. At the same time, and despite widely…