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Statistical Horizons
@stathorizons.bsky.social
Statistical Horizons & Code Horizons offer online short courses on a wide variety of popular statistical methods with expert instructors.
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Distinguished Speaker Kosuke Imai presents "Evaluating AI & Machine Learning Algorithms for #causalinference", Feb. 10. Learn to assess #AI & #machinelearning practically—from heterogeneous treatment effects, individualized treatment rules, & human–AI collaboration.
Evaluating AI and Machine Learning Algorithms for Causal Inference | Online Seminar | Statistical Horizons
This online Distinguished Speaker course by Kosuke Imai, Ph.D., introduces causal inference frameworks for evaluating AI and machine learning algorithms.
statisticalhorizons.com
Join @brucedesmarais.bsky.social for "Machine Learning" Feb. 5-7 to learn how #machinelearning can be used to uncover valuable insights, identify optimal model structures, perform variable selection, and deliver highly accurate predictions from data.
Machine Learning | Online Workshop | Statistical Horizons
This online seminar taught by Bruce Desmarais, Ph.D., provides a comprehensive introduction to machine learning.
statisticalhorizons.com
January 2, 2026 at 2:34 PM
Join @hudsongolino.bsky.social for "LLM Text Generation in R: Practical Prompt Engineering" on Jan. 28-29. 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.
LLM Prompt Engineering & Text Generation | Online Workshop | Code Horizons
This online seminar taught by Hudson Golino, Ph.D., provides you with a comprehensive introduction to prompt engineering & text generation via LLMs & OpenAI models.
codehorizons.com
December 22, 2025 at 2:37 PM
Transition from using #Stata to using #Rstats independently in only 8 hours (over 2 days)! Join "R for Stata Users" with Andrew Miles on Jan. 22-23. Discover how R "thinks" and explore the differences in terminology, code syntax, data management, and default procedures.
R for Stata Users | Online Workshop | Code Horizons
This online course taught by Andrew Miles, Ph.D., helps Stata users transition to R by showing how to perform familiar data analyses in R.
codehorizons.com
December 19, 2025 at 2:20 PM
Learn to uncover hidden structures & patterns in your research using "Latent Class Analysis" (#LCA) w/ Drs. Lanza & Bray on Jan. 22-24. You'll learn to apply LCA to inform theory, guide interventions, contribute to evidence-based decision-making, & extract new insights from data.
Latent Class Analysis | Online Seminar | Statistical Horizons
Learn how latent class analysis can uncover hidden subgroups and select optimal models in this online seminar with Stephanie Lanza, Ph.D., and Bethany Bray, Ph.D.
statisticalhorizons.com
December 17, 2025 at 2:36 PM
Transform how you design and analyze experiments in “Using AI to Build Better Experiments,” with Charles Crabtree on Jan. 14-16. Discover how to use #LLMs to create materials, augment studies, and interpret results.
Using AI to Build Better Experiments | Online Workshop | Statistical Horizons
Learn to build better experiments using AI in this online seminar with Charles Crabtree, Ph.D.
statisticalhorizons.com
December 15, 2025 at 3:08 PM
Using #AI to write #machinelearning code? It can speed up your coding workflow, but you can’t always trust the accuracy or rigor of AI-generated code. Read @brucedesmarais.bsky.social's SH blog post for 5 checks to improve accuracy, evaluation, and interpretation.
Five Things to Check Before You Trust AI-Generated Machine Learning Code | Statistical Horizons
A blog post by Bruce Desmarais, instructor of Machine Learning and Advanced Machine Learning.
bit.ly
December 11, 2025 at 3:08 PM
Join Kenneth A. Bollen for "How to Choose a Model for Longitudinal Data", January 14-16. Gain invaluable insights and practical skills for comparing, selecting, and fitting the best #longitudinal models for repeated measures.
Models for Longitudinal Data | Online Course | Statistical Horizons
This online seminar taught by Kenneth A. Bollen, Ph.D., provides practical tools to evaluate and select the most suitable longitudinal model.
statisticalhorizons.com
December 9, 2025 at 3:30 PM
Learn to use structural equation modeling (SEM) to estimate dynamic panel data models w/ Paul Allison. "Longitudinal Data Analysis Using #SEM" begins Jan. 12. This 4-week on-demand seminar introduces maximum likelihood with SEM software (ML-SEM) using #Mplus, #Stata, SAS, and #Rstats.
Longitudinal Data with SEM | On-Demand Seminar | Statistical Horizons
Analyze longitudinal data using with SEM in this self-paced online course with Paul Allison, Ph.D. Explore fixed effects and cross-lagged paths.
statisticalhorizons.com
December 4, 2025 at 2:48 PM
Looking for a comprehensive way to manage, manipulate, analyze, & visualize your data in #Rstats? Join "Data Wrangling with the Tidyverse" with @kjhealy.co, January 7-9, to get hands-on experience w/ R's #tidyverse tools to accomplish everyday statistical analysis tasks.
Data Wrangling with the Tidyverse | Online Seminar | Code Horizons
Learn how to clean, organize, and prepare your research data in R using the tidyverse with Kieran Healy, Ph.D., in this online seminar.
codehorizons.com
December 2, 2025 at 3:03 PM
Looking for a practical intro to designing effective web surveys & working with online respondents? Join "Designing Effective Online Surveys", taught by Andrew Miles on Jan. 7-9, for actionable design strategies, plus advantages & disadvantages of online samples.
Design Online Surveys | Online Seminar | Code Horizon
Andrew Miles, Ph.D., teaches this online course on web/online survey design methods, covering effective question writing, layout optimization, and respondent recruitment.
codehorizons.com
November 20, 2025 at 2:46 PM
Join “Applied Bayesian Data Analysis: A Second Course,” Dec. 10-12 with Roy Levy. Strengthen your ability to build, estimate, and interpret #Bayesian models for complex applied research.
Advanced Bayesian Analysis | Online Seminar | Statistical Horizons
This online workshop taught by Roy Levy, Ph.D., describes Bayesian approaches in several advanced modeling frameworks.
statisticalhorizons.com
November 18, 2025 at 2:33 PM
See how @kjhealy.co builds trustworthy visualizations at #positconf2025 —then level up your own skills in his course on "Data Wrangling with the #Tidyverse", Jan. 7–9.
Trustworthy Data Visualization (Kieran Healy, Duke University) | posit::conf(2025)
YouTube video by Posit PBC
www.youtube.com
November 14, 2025 at 5:54 PM
Join “Latent Growth Curve Modeling,” Dec. 10-12 with @dmcneish.bsky.social. Learn how to model change over time, understand growth factors, and apply growth models in your research.
Latent Growth Curve Modeling | Online Course | Statistical Horizons
This online seminar with Dan McNeish, Ph.D., provides an introduction to latent growth curve modeling, a class of models within the SEM framework.
statisticalhorizons.com
November 13, 2025 at 2:56 PM
Struggling with missing data? Join Paul Allison for "Missing Data Using R", a 4-week on-demand seminar starting Nov. 17. You'll learn maximum likelihood & multiple imputation—two of the most powerful #missingdata solutions using #Rstats.
Missing Data Using R | On-Demand Seminar | Statistical Horizons
Paul Allison, Ph.D., teaches this self-paced course on missing data using R, covering multiple imputation and maximum likelihood for accurate, unbiased results.
statisticalhorizons.com
November 6, 2025 at 2:47 PM
Join Roy Levy on Dec. 10-12 for "Applied Bayesian Data Analysis: A Second Course" to take your #Bayesian skills to the next level! Master key skills in advanced modeling frameworks, including factor analysis, structural equation models, and multilevel models.
Advanced Bayesian Analysis | Online Seminar | Statistical Horizons
This online workshop taught by Roy Levy, Ph.D., describes Bayesian approaches in several advanced modeling frameworks.
statisticalhorizons.com
November 4, 2025 at 3:40 PM
Check out the Data Science at Home podcast for insights on AI, machine learning, and tech innovation.

Listen to the latest episode here.
Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 293)
Podcast Episode · Data Science at Home · 10/30/2025 · 33m
podcasts.apple.com
October 31, 2025 at 3:02 PM
Learn to model change or growth in #longitudinal data using "Latent Growth Curve Modeling" with @dmcneish.bsky.social, December 10-12. You'll walk away with the ability to confidently apply and interpret these methods to answer your unique research questions.
Latent Growth Curve Modeling | Online Course | Statistical Horizons
This online seminar with Dan McNeish, Ph.D., provides an introduction to latent growth curve modeling, a class of models within the SEM framework.
statisticalhorizons.com
October 30, 2025 at 1:46 PM
Distinguished Speaker Kosuke Imai presents "Evaluating AI & Machine Learning Algorithms for #causalinference", Feb. 10. Learn to assess #AI & #machinelearning practically—from heterogeneous treatment effects, individualized treatment rules, & human–AI collaboration.
Evaluating AI and Machine Learning Algorithms for Causal Inference | Online Seminar | Statistical Horizons
This online Distinguished Speaker course by Kosuke Imai, Ph.D., introduces causal inference frameworks for evaluating AI and machine learning algorithms.
statisticalhorizons.com
October 28, 2025 at 1:43 PM
Distinguished Speaker Kosuke Imai presents "Evaluating AI & Machine Learning Algorithms for #causalinference", Feb. 10. Learn to assess #AI & #machinelearning practically—from heterogeneous treatment effects, individualized treatment rules, & human–AI collaboration.
Evaluating AI and Machine Learning Algorithms for Causal Inference | Online Seminar | Statistical Horizons
This online Distinguished Speaker course by Kosuke Imai, Ph.D., introduces causal inference frameworks for evaluating AI and machine learning algorithms.
statisticalhorizons.com
October 28, 2025 at 1:41 PM
Join Simon Brewer on December 4-6 for "Spatial Analysis of Health Data"! Explore how geospatial #healthdata provide the tools to better understand & tackle public health challenges while addressing the issues that can arise while working with this type of data.
Spatial Analysis of Health Data | Online Course | Statistical Horizons
Analyze spatial health data in this online course taught by Simon Brewer, Ph.D. Explore spatial patterns and build spatial and spatiotemporal models in R.
statisticalhorizons.com
October 23, 2025 at 11:12 AM
Forecasting requires tools built for time series. ARIMA (AutoRegressive Integrated Moving Average) models capture trends & seasonality where regression fails. Read more on the SH blog, then join Fundamentals of Time Series Analysis w/ Daniel J. Henderson, Nov. 12-14.
Time Series Modeling: Why ARIMA Models Beat Linear Regression for Temporal Data | Statistical Horizons
Learn how and why ARIMA models outperform linear regression for forecasting temporal data on the Statistical Horizons blog.
statisticalhorizons.com
October 21, 2025 at 1:36 PM
Want to improve or expand how you analyze #qualitative research—integrating computational tools & AI? Join Corey M. Abramson Dec. 3–5 for "Computer-Assisted Qualitative Data Analysis with Automation & AI". Ideal for those new to QDA software or coding.
Qualitative Data Analysis w/ Automation & AI | Online Course | Code Horizons
This online seminar taught by Corey M. Abramson, Ph.D., introduces an approach to qualitative data analysis using AI & other computational tools.
codehorizons.com
October 16, 2025 at 1:35 PM
Join "Mediation and Moderation Analysis for Simple Within-Subject Designs" with @akmontoya.bsky.social, Nov. 20-21. Using the MEMORE macro, created by the instructor, learn cutting-edge methods for estimating and interpreting effects in within-subject designs in 8 hours (over 2 days).
Within-Subject Mediation Moderation | Online Course | Statistical Horizons
This online seminar taught by Amanda Montoya, Ph.D., introduces methods for estimating & interpreting mediation & moderation for within-subject experiments.
statisticalhorizons.com
October 14, 2025 at 2:03 PM
Join "Missing Data Using R" with Paul Allison starting Nov. 17. This 4-week on-demand seminar covers the theory and practice of maximum likelihood and multiple imputation, two of the latest and most accurate methods to handle #missingdata, all using #Rstats.
Missing Data Using R | On-Demand Seminar | Statistical Horizons
Paul Allison, Ph.D., teaches this self-paced course on missing data using R, covering multiple imputation and maximum likelihood for accurate, unbiased results.
statisticalhorizons.com
October 9, 2025 at 1:19 PM
Join Daniel J. Henderson for "Fundamentals of Time Series Analysis" on November 12-14 for an introduction to time series methods for univariate and multivariate models. Learn how to program and apply these methods in practice using #Rstats and how to present results.
Time Series Analysis | Online Workshop | Statistical Horizons
This online course taught by Daniel J. Henderson, Ph.D., introduces time series methods for univariate and multivariate models.
statisticalhorizons.com
October 7, 2025 at 1:59 PM