Potpourri: Statistics #81

1138. The list of 2021 visualization lists1139. ML and NLP Research Highlights of 20211140. Regression and Other Stories1141. Causal Inference for The Brave and True1142. Quantifying causality in data science with quasi-experiments1143. An Introduction to Linear Mixed-Effects Modeling in R1144. The Science of Visual Data Communication: What Works1145. Database of slaveholding members of Congress1146. Null-hacking, a lurking problem1147. Choosing the Estimand When Matching or Weighting in Observational Studies1148. dyadicdist: Get dyadic distances in R1149. A guide to modeling proportions with Bayesian beta and zero-inflated beta regression models1150. A guide to correctly calculating posterior predictions and average marginal effects with multilievel Bayesian models1151. A guide to working with country-year panel data and Bayesian multilevel models1152. How to use Bayesian propensity scores and inverse probability weights1153. My Machine Learning Process (Mistakes Included)1154. Data quality of platforms and panels for online behavioral research1155. ~~Do No Harm Guide: Applying Equity Awareness in Data Visualization~~1156. STAT 447: Data Science Programming Methods1157. The Hitchhiker’s Guide to Responsible Machine Learning1158. Report Ready PDF tables with rmarkdown, knitr, kableExtra, and LaTeX1159. Understanding the native R pipe |>1160. Rich Iannone || Making Beautiful Tables with {gt}1161. R Markdown Lesser-Known Tips & Tricks #2: Cleaning Up Your Code1162. Recreating the New York Times COVID-19 Spiral Graph1163. Circular Visualization in R1164. It’s time for a more sophisticated color contrast check for data visualizations1165. Fast geospatial tasks with data.table, geos & co.1166. R Function A Day1167. Psychology 6135: Psychology of Data Visualization1168. Using databases with Shiny1169. Matrix Multiplication1170. Visualize Data on Spirals1171. Creating basic psychometric summaries in R

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