Statistical Horizons

Welcome our next Distinguished Speaker, John P. A. Ioannidis, for “Reproducible and Useful Research: The Replication Crisis and Solutions”, Aug. 11. Explore the causes of irreproducibility & learn practical, evidence-based ways to improve reliability. bit.ly/ji-dss-sh

Looking to strengthen your #causalinference skills? Join Noah Greifer on Aug. 12-15 for "Causal Inference in R Using MatchIt and WeightIt" to gain the skills to apply these #Rstats packages to estimate and interpret treatment effects.

Join @dmcneish18 for "Dynamic #StructuralEquationModeling", Aug 12-15! Explore DSEM, a cutting-edge framework that utilizes intensive #longitudinaldata to gain detailed insights into dynamic processes and variability within and between subjects.

Curious how Python can expand your R workflow? Watch the first hour of "Python for #Rstats Users" with Adam D. Rennhoff, then join the Oct. 29–30 seminar to build hands-on #Python skills for data science, #machinelearning, and #deeplearning. youtu.be/kiGLcI6POFA

Learn to use natural language processing (NLP) techniques & large language transformer models (#LLMs) for research applications. Join "Text Classification with Large Language Transformer Models in #Rstats" w/ @GolinoHudson on Aug. 5-8.

Learn how to analyze panel data with Stephen Vaisey. "Longitudinal Data Analysis Using #Rstats" will be taught on Aug. 5-8. We will cover mixed models, fixed-effects models, between-within models, and dynamic panel models.

Labeling data can be costly. Learn how active learning helps #machinelearning models perform better with fewer human annotations in "Supercharge Your Classifier Development with Active Learning", a blog post by Advanced ML instructor @brucedesmarais. bit.ly/ml2-sh

Join "Scale Construction and Development" w/ Deborah Bandalos on July 29-Aug 1 to learn how to construct scales that produce accurate & reliable measurements. This seminar will take you from current best practices to exploratory factor analysis & confirmatory factor analysis.

Join @brucedesmarais on July 29-Aug. 1 for Advanced Machine Learning. Go beyond prediction— address causal inference, missing data, LLMs, and more by applying advanced #machinelearning methods using #Rstats.

Celebrate 20 years with Statistical Horizons! Paul Allison, founder & President, presents "Missing Data Then and Now", a FREE 3-hour Distinguished Speaker Series seminar on how missing data methods have evolved—and what you need to know today. bit.ly/dss-allison

Come learn with me techniques of prompt engineering (July 10 and 11). You are going to learn the basics of LLMs, Prompt Engineering methods, and how to do text generation and refinement via prompt engineering using R. Additionally, I created a new Groq AI Desktop App so that…

Learn how to analyze regression models with binary, ordinal, nominal, and count dependent variables using #Stata or #Rstats from July 29-Aug 1 with @MizeTrenton! Registration for Categorical Data Analysis is now open.

Join Boris Nikolaev on July 24-25 for Data Analysis with ChatGPT: A Practical Introduction! Explore the strengths and limitations of ChatGPT as a data analysis tool in real-world scenarios to work with complex data and create compelling visualizations.

Interested in creating your own #Rstats package? Learn how to organize code efficiently, manage dependencies, implement best practices in testing and documentation, and distribute your package with My First R Package taught by @VincentAB on July 22-23!

Learn how to apply #LLMs like ChatGPT in real research. In "Using Large-Language Models for Social Science Research" w/ @EthanBusby (Sept. 25–27), you'll explore prompt engineering & common-use cases like surveys & samples. Watch the 1st hour now! youtu.be/odiXySaYepk

Join @LucyStats for Understanding Statistics in Medical Literature, July 22–25. Learn how to decode stats, visuals, and study design in clinical research.

Learn advanced structural equation modeling (#SEM) topics like instrumental variables, alternative estimation methods, multiple group models, & models for #longitudinaldata at your own pace. 4-week course SEM: Part 2 On Demand with Paul Allison starts July 21.

Learn the basics of #Python in 4 days! Join Edwin Dalmaijer for Introduction to Python for Data Analysis on July 15-18 to learn how to use Python for data analysis, including handling datasets and writing full analyses.

Learn how to apply #Bayesian reasoning to qualitative research in "Bayesian Analysis for Qualitative Evidence" with Tasha Fairfield (Aug. 26–27). Watch the first hour now and see how this method can improve #inference and clarity in your work. bit.ly/bqe-sh

Join Machine Learning for Estimating Causal Effects w/ @ashley_naimi on July 15-18. Learn to use cutting-edge "double-robust" #machinelearning methods to estimate treatment effects, minimize biases, & avoid problems like the “curse of dimensionality.”

Join @GolinoHudson for LLM Text Generation in R: Practical Prompt Engineering on July 10-11. In 8 hours (over 2 days), you'll learn to integrate #LLM models with #Rstats, engineer effective prompts, and apply LLMs to real research tasks and data analysis.