Emily Riederer
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(3)
causal
(1)
data
(1)
rmarkdown
(1)
rstats
(1)
Causal and Associational Language in Observational Health Research: A Systematic Evaluation
causal
We screened over 1,000 articles from 18 high-profile journals published from 2010-2019 to review the use of causal language to describe results in experimental and observational data.
Nov 19, 2022
American Journal of Epidemiology
97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts
data
With this in-depth book, data engineers will learn powerful, real-world best practices for managing data—both big and small. Contributors from companies including Google, Microsoft, IBM, Facebook, Databricks, and GitHub share their experiences and lessons learned on cleaning, prepping, wrangling, and storing data. I contributed 6 of the 97 essays.
Aug 1, 2021
O’Reilly Media
R Markdown Cookbook
rmarkdown
rstats
This book is designed to provide a range of examples of how to extend the functionality of your R Markdown documents. As a cookbook, this guide is recommended to new or intermediate R Markdown users who desire to enhance the efficiency of using R Markdown and also explore the power of R Markdown. Read online at https://bookdown.org/yihui/rmarkdown-cookbook/
Sep 1, 2020
CRC Press
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