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Tips for Statistical Communication and Data Storytelling
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What is the Value of the p-value?
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Modern Statistical Communication in the Social Media Era
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The Journey to True: Accurate Statistical Communication
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The Peril of Power when Prioritizing a Point Estimate
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Exploring the impacts of noninferiority trial thresholds
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Would seeing Spider-Man: No Way Home decrease COVID-19 Cases?
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STA 379/679 -- WFU Spring 2022
Causal Inference.
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How to stay safe this Thanksgiving, even as the COVID pandemic remains a threat
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Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2 through Analysis of Viral Genomics and Structure
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).
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Bringing Data Science Communication into the Classroom
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The Expert Next Door: A Commentary on Interactions with Friends and Family During the SARS-CoV-2 Pandemic
The coronavirus disease 2019 (COVID-19) pandemic thrust the field of public health into the spotlight.
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Panel Discussion: Working with and Learning from COVID-19 data
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Causal Inference in R
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Causal Inference in R
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Lucy D'Agostino McGowan: The essential stats on breakthrough cases
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Vaccine effectiveness and breakthrough cases
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Examining the Impact of Software Instruction on Completion of Data Analysis Tasks
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Denominators Matter
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Will Podcasting and Social Media Replace Journals and Traditional Science Communication? No, but...
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Maximizing and evaluating the impact of test-trace-isolate programs: A modeling study
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NYTimes Map How To
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Evaluating Sources of Bias in Observational Studies of ACE Inhibitor/ARB Use During COVID-19: Beyond Confounding
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Communicating Complex Statistical Concepts to Collaborators, Stakeholders, and the General Public
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Understanding data and statistics in the medical literature
Whether a medical student reading their first journal article or a healthcare professional trying to use the latest research to improve patient care, this course will help you understand data and statistics in the medical literature in an efficient and co…
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Let's Get Meta: Analyzing your R code with tidycode
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Hill's Criteria for the Data Scientist: Incorporating Causal Inference Techniques
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Creating dynamic dashboards with the shinydashboard R package
Shinydashboards.
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Designing Randomized Studies using Shiny
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Measuring and Maximizing Impact of COVID-19 Contact Tracing
This course aims to provide managers and developers of contact tracing programs guidance on the most important indicators of performance of a contact tracing program, and a tool that can be used to project the likely impact of improvements in specific ind…
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An open-publishing response to the COVID-19 infodemic
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Causal Inference in R
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Causal Inference in R
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Book Review: Reproducible Research in R and R Studio, 3rd edition. By Christopher Gandrud.
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How to protect yourself and others from spreading COVID-19 at Thanksgiving dinner by Justin Lessler and Lucy D'Agostino McGowan
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Applied Demonstration of the tipr R Package
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Quantifying uncertainty in infectious disease mechanistic models
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ConTESSA: A Shiny App to Help Quantify Contact Tracing Efficacy
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Equipping and Empowering Future Data Scientists with Confidence, Intuition, and Communication Skills
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How to Build a DIY Lightboard
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ASA Fellows Analysis by Lucy D'Agostino McGowan and Katherine Monti
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Data Science at Wake Forest University
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Why the 'COVID-19 killed only 6%' argument is wrong by Justin Lessler and Lucy D'Agostino McGowan
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Concerns About the Special Article on Hydroxychloroquine and Azithromycin in High Risk Outpatients with COVID-19 by Dr. Harvey Risch
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The Ups and Downs of Communicating Complex Statistics
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STA 363 -- WFU Fall 2020
Statistical learning.
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STA 312 -- WFU Fall 2020
Linear models.
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Causal Inference in R
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Causal Inference in R
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So you want to learn R...