Statistical Horizons

Distinguished Speaker James Berger presents "Objective Bayesian Analysis: History & Interfaces w/ Classical Statistics", April 14. Learn how objective #Bayesian & classical approaches diverged, why those differences matter, & what they mean for statistical evidence today. bit.ly/dss-berger-sh-x

Get certified in Causal Inference. Across 4 seminars, you’ll learn how to think more clearly about design, estimation, assumptions, and interpretation in applied settings. Strengthen your research toolkit and earn a credential in the process. bit.ly/ci-cert-sh-x

Looking to strengthen your #causalinference skills? Join @noah_greifer on April 15-17 for "Causal Inference in R Using MatchIt and WeightIt" to gain the skills to apply these #Rstats packages to estimate and interpret treatment effects. statisticalhorizons.com/seminars/causa…

On April 14, Distinguished Speaker James Berger explores the history of objective #Bayesian and classical statistics, the p-value controversy, and multiplicity in “Objective Bayesian Analysis: History and Interfaces with Classical Statistics.” statisticalhorizons.com/seminars/objec…

"Causal Inference in Econometrics" with @nickchk is on demand! Join April 13-May 11 to learn the how & why of #econometric analysis of observational data using regression (how econometricians evaluate data) & identification (how they link theory to data) at your own pace. statisticalhorizons.com/seminars/causa…

Looking to learn about @Stata's impressive data & model visualization capabilities? "Data Visualization Using Stata & LLMs" w/ Trenton Mize (Apr. 8-10) covers best practices & approaches to data exploration, model diagnostics, model presentation, & using #LLMs to enhance your workflow. aihorizons.io/Seminars/data-…

Introducing AI Horizons! Live, expert-led seminars on AI & LLMs for research, analytics, and data science. Build practical workflows + best practices to use these tools effectively and responsibly. Explore the schedule: aihorizons.io.

"Power Analysis & Sample Size Planning" w/ Christopher L. Aberson begins March 16! Join this 4-week on-demand seminar to learn practical power and sensitivity strategies to strengthen your approach to determining sample sizes across research designs. statisticalhorizons.com/seminars/power…

Join Christopher L. Aberson, March 25-27 for "R for SPSS Users" & seamlessly transition from #SPSS to #Rstats! Gain insights from a long-time user of both programs, covering terminology, data import, visualizations, analyses, & more. Elevate your skills w/ practical solutions. codehorizons.com/Seminars/r-for…

How are recent advances in #AI reshaping teaching and research? After leading his #MachineLearning seminar, @brucedesmarais shares his reflections in a new post on LinkedIn. Read it here: linkedin.com/posts/bruce-de…

Upgrade your marketing research! Join @jdotson77 on March 25–27 for "AI-Enabled Marketing Research" and learn to use Google Gemini for #AI-driven qualitative analysis, intelligent survey design, and synthetic respondent methods. codehorizons.com/Seminars/ai-en…

Join Stephen Vaisey on March 18–20 for "Longitudinal Data Analysis w/ @Stata & LLMs". Learn to analyze panel data using mixed models, two period difference-in-differences, fixed-effects models, between-within models, & dynamic panel models, w/ added #LLM support. statisticalhorizons.com/seminars/longi…

How do researchers determine the sample size needed to address their research questions? Join "Power Analysis & Sample Size Planning" w/ Christopher L. Aberson to learn about power and sensitivity approaches for multiple research designs. This 4-week on-demand seminar starts March 16. statisticalhorizons.com/seminars/power…

Join "Automatic Item Generation and Validation: A Network Integrated Approach using #LLMs in #RStats" on Mar. 11 & 13 with @GolinoHudson to learn how to use #ArtificialIntelligence to create and validate questionnaires and scales! codehorizons.com/Seminars/autom…

Join @dmcneish18 for "Dynamic #StructuralEquationModeling", March 4-6! Explore DSEM, a cutting-edge framework that utilizes intensive longitudinal data to gain detailed insights into dynamic processes and variability within and between subjects. statisticalhorizons.com/seminars/dynam…

Expand your social network analysis toolkit! Join John Skvoretz for "Social Networks: Statistical Approaches" starting Feb. 9. Learn how to test hypotheses and model network structure using #Rstats in this 4-week on-demand course. statisticalhorizons.com/seminars/socia…

Join "Machine Learning for Estimating Causal Effects" w/ @ashley_naimi on Feb. 25-27. Learn to use cutting-edge "double-robust" #machinelearning methods to estimate treatment effects, minimize biases, & avoid problems like the “curse of dimensionality.” statisticalhorizons.com/seminars/machi…

Join Boris Nikolaev on Feb. 19-20 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. codehorizons.com/Seminars/data-…