Statistical Horizons offers expert-led online training in statistics and research methods; AI Horizons extends that mission into practical AI for researchers.
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Discover the multifaceted & rapidly evolving intersection of machine learning & artificial intelligence w/ Machine Learning instructor @brucedesmarais's newest Statistical Horizons blog post, "The Machine Learning Foundations of Artificial Intelligence". bit.ly/47z0aoE
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Richard McElreath (@rlmcelreath) joins the Distinguished Speaker Series w/ "Science Before Statistics: Intro to Bayesian Causal Inference", Sept. 25. Learn new #causalinference skills for using computational #Bayesian models to answer causal questions. bit.ly/sh-mcelreath
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Matching Methods for Observational & Experimental Causal Inference w/ Gary King (@kinggary) is our next Distinguished Speaker Series seminar! Join July 17 to learn to detect & ameliorate model dependence using matching methods. bit.ly/sh-king
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How can models help us learn about human behavior? Intro to Agent-Based Modeling instructor @psmaldino discusses this question on the Code Horizons blog: bit.ly/ch-smaldino.
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Check out the 1st hour of @ashley_naimi's "Machine Learning for Estimating Causal Effects" on YouTube! This Aug. 6-9 course will explore how #machinelearning can help minimize biases & estimate treatment effects. Subscribe to our YouTube channel for more! piped.video/xnZv-YXrED0
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Join the next Distinguished Speaker, @AndrewFHayes, for a seminar on PROCESS versus Structural Equation Modeling, Jan. 24. Compare/contrast OLS regression-based #PROCESS and SEM approaches to mediation, moderation, and conditional process analysis. bit.ly/sh-hayes
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Introducing Intro to Mediation, Moderation, & Conditional Process Analysis Online! Join @AndrewFHayes from 5/15-29. Learn easy-to-use tools for estimating mediation & moderation effects with emphasis on #processmacro. Preview a video sample and register: statisticalhorizons.com/intr…
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William H. Greene is the next Distinguished Speaker in our seminar series. Join Prof. Greene on Nov. 1 for "Econometric Models for Discrete Choices" to learn about several types of discrete choice models for describing individual choice behavior. bit.ly/sh-greene
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Learn how the perceived conflict between accurate predictions & interpretability is misleading and how both objectives can be aligned in @brucedesmarais's latest blog post, "In Machine Learning, Can Good Predictive Models also be Interpretable?" bit.ly/4dbqFE3
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Frank Harrell (@f2harrell) is the next Distinguished Speaker! Join Ordinal Regression May 29 to learn about the most popular ordinal regression models & applications (useful even when the outcome variable is continuous), & explore case studies w/ #rstats. bit.ly/sh-ord
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Looking to get started using #RStats? The 1st hr of Andrew Miles' "Intro to R for Data Analysis" seminar is on YouTube! Join Mar. 12, 13, & 15 to gain the skills to use R independently, w/ topics like data coding & management & basic statistical analyses. piped.video/ylPRqj34eDs
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Distinguished Speaker Series! Join Dr. Andrew Gelman (@StatModeling) for Multilevel Modeling for Design & Analysis on May 31 to discuss general challenges of design & analysis in a world of nonrandom samples, varying treatment effects & noisy data. bit.ly/sh-gelman
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Now on the SH YouTube channel: Watch the 1st hour of "Applied Bayesian Data Analysis" w/ @RoyLevy11 to get started w/ #Bayesian basics! Register for the full seminar, Sept. 12-14, for a practical & theoretical intro to these methods using #Rstats & Stan. piped.video/FO9NsY78Rrg
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The 1st hour of the 4-day seminar "Time Series Analysis" is now on YouTube! Join Aug. 13-16 to learn the theory and practical applications of time series methods for univariate and multivariate models using #Rstats w/ Daniel J. Henderson. piped.video/watch?v=52iZJdu3…
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Watch the 1st hour of "Applied Bayesian Data Analysis: A Second Course" w/ @RoyLevy11 on YouTube. On Dec. 5-7, explore advanced #Bayesian methods & master key skills in advanced modeling frameworks, incl. factor analysis, SEM, & multilevel models. piped.video/oPi36NjoGzQ
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Join @daniel_e_adkins for Introduction to Statistical Genetics on Jan. 26-28! Learn the fundamental principles of statistical genetics, and leave with the technical skills to conduct a range of analyses to enrich your biomedical, behavioral, or social research.
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Learn about MIMIC models for measurement invariance on the Statistical Horizons blog. @ProfDiemer explains MIMIC models and their specification, then uses them to test for differential item functioning. bit.ly/sh-mimic
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New on YouTube: a 1-hour clip of @MizeTrenton's Categorical Data Analysis seminar! Join the full seminar June 11-14 to learn more advanced techniques for interpreting & dealing with the complications introduced by nonlinear models. piped.video/ykkxcJeK9c0
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Sample materials of Exploratory Factor Analysis (EFA) with @KristopherJPre1 now available! Join June 26-29 to learn the statistical theory of EFA from a social & behavioral sciences perspective and obtain hands-on experience factor analyzing data. bit.ly/sh-efa
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Join our next Distinguished Speaker, Larry V. Hedges, for "Methods for Meta-Analysis: 40 Years of Progress" on March 27th. Get an intro to meta-analysis methods, how they can be used, issues that can arise, and approaches to publication bias. bit.ly/sh-hedges
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New Blog Post: Paul Allison explains a new method for getting predicted probabilities from a linear regression with a binary dependent variable. It guarantees that the predictions will be bounded by 0 and 1. statisticalhorizons.com/blog
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Distinguished Speaker Series: David A. Kenny of UConn (@doinkboy) will teach Mediation Analysis: 99 Years of Progress on Sept. 20th! Learn about linear models of mediation, including how mediation methods have evolved over time. bit.ly/sh-kenny
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SPSS users: Watch the 1st hour of @chrisaberson's "R for #SPSS Users" on the CH YouTube channel, and join Nov. 21-22 to learn how to transition your workflows to #Rstats/#RStudio, w/ key topics incl. terminology, data import, analyses, data viz & more. piped.video/FwSU5mtkOlU
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New on the Statistical Horizons blog! @MizeTrenton discusses how discrete choice analysis can be incorporated into your research with several examples of applications in the health and social sciences. bit.ly/sh-mize
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Join Missing Data Using R (for students) w/ Paul Allison on March 2-4. Students get 70% discount! This seminar covers the theory & practice of maximum likelihood & multiple imputation, two of the latest & most accurate methods for handling missing data, using #Rstats.
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Gain a comprehensive understanding of the core concepts & practical applications of #MachineLearning! Check out an exclusive 1-hour clip from @brucedesmarais's Machine Learning seminar, now on YouTube! And join June 11-14 to learn even more. bit.ly/sh-ml-vid
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Join our summer Distinguished Speaker @_MiguelHernan for Target Trial Emulation: Using Observational Data to Determine What Works, July 15. Learn a 2-step framework for #causalinference from real-world data to assess the effectiveness of interventions. bit.ly/sh-hernan
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Learn about specific situations in which dummy variable adjustment (DVA) is effective for handling missing data (sometimes even more effective than multiple imputation or maximum likelihood!) in Paul Allison's latest blog. bit.ly/3RiRcTt
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Introducing Sample Size Justification w/ Daniel Lakens (@lakens)! Check out Daniel's intro video here: bit.ly/sh-ssj, and join us Oct. 26-28 to determine how much data you need to answer your research questions and justify the sample size.
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Learn the foundations of #differenceindifferences (DiD) models with Gonzalo Vazquez-Bare. The first hour of "Difference in Differences" is now available on YouTube! Get acquainted with some basics, and learn more in the full seminar, July 16-19. piped.video/watch?v=xGDTTCPh…
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Check out "Unsupervised Statistical Learning Using #Python" w/ Edwin Dalmaijer, Aug. 12-13. Use the scikit-learn package to uncover subgroups & latent components in datasets w/ unsupervised #machinelearning. Great for Python users looking to expand their skills. @ThePSF
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Looking for an accelerated, in-depth intro to @Stata? Join us for Stata Basics with @BiancaManago1 on May 2-3! In just 8 hours (over 2 days), you'll gain the skills to efficiently & effectively use Stata to prepare, analyze, and present data.
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Learn about Machine Learning instructor @brucedesmarais's first foray into machine learning methods as a graduate student in "Milk, Eggs, and Courts: My First Machine Learning Project" on the Statistical Horizons blog! bit.ly/sh-ml-blog
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Now on YouTube: The 1st hour of "Designing Effective Online Surveys" taught by Andrew Miles. Discover practical tips for optimizing your survey design and data collection methods and working w/ online respondents during the livestream seminar, Oct. 10-12! piped.video/vG3LAjg_1Q4
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Instructor @daniel_e_adkins discusses recent debates surrounding causal inference in human complex trait genetics on the Statistical Horizons blog. Learn why established methodologies are being questioned and why there's cause for optimism going forward. bit.ly/sh-ssg
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5 reasons to learn logistic regression before "fancier stuff" in data science.
towardsdatascience.com/5-rea…
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Learn how instrumental variables (IV) can improve causal inference in Felix Elwert's seminar, Instrumental Variables. Watch the 1st hour on YouTube now, & join the full course Apr. 10-12. Explore IV methods, from the Wald estimator to advanced diagnostics. piped.video/IQ7PyDbKG-8
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Get started w/ Propensity Score Analysis! The 1st hour of Shenyang Guo's seminar is now on YouTube. Join the course Oct. 3-5 to learn to use PSA basics to evaluate the effects of treatments or interventions when using nonexperimental or observational data. piped.video/Bpar5C4Plog
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Come join us in Stockholm next month for 2 seminars taught by Paul Allison:
Linear Regression Using Stata: August 14-15
Structural Equation Modeling Using Stata: August 16-17
statisticalhorizons.com/semi…
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What do instrumental variables, survival analysis, machine learning, and latent class analysis all have in common? You can learn them all (and more) as part of our Fall schedule! Follow the link for the complete list of offerings. statisticalhorizons.com/semi…
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Curious about in-depth interviews in research? @cmabramson’s "Intro to In-Depth Interviews" seminar (Nov. 7-9) covers everything from designing interview studies to analyzing data. Watch the first hour now on YouTube: piped.video/Z4oaKud7jrU
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Read @cmabramson's new post "Qualitative Coding Simplified" on the Code Horizons blog. Learn what qualitative coding is and how it can be used in a multitude of ways to enhance researchers' data and help make sense of texts. bit.ly/chblog4
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Watch the 1st hour of Rex B. Kline's "Structural Equation Modeling Done Right" on YouTube & register for the full seminar Oct. 17-19. Discover essential SEM techniques & best practices to improve your research, from path analysis to evaluating model fit. piped.video/tCG2k73KxBE
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Kick off your data viz journey w/ the 1st hour of @kjhealy's "Data Visualization Using #Rstats" on YouTube! Register for the full seminar on Oct. 17-19 to learn to produce, refine, & present effective visualizations using #ggplot2 and R. piped.video/9S6IW4GWai4
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Join Tyler VanderWeele, our next Distinguished Speaker, for “Causal Inference and Outcome-Wide Studies” on February 13th to explore the principles of #causalinference in outcome-wide studies & the pros/cons of these designs over traditional approaches. bit.ly/4eCm1hG
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Interested in multilevel models? Watch the first hour of our Multilevel & Mixed Models Using @Stata seminar w/ @vaiseys, and join Oct. 10-12 to learn how to analyze hierarchical/nested data structures. piped.video/cOwfGUtR8eI
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Join "Valid Inference with Double Dipping" on Dec. 16 w/ the next Distinguished Speaker, @daniela_witten! Learn techniques for making valid statistical inferences when the same data is used to both generate & test hypotheses (known as "double dipping"). bit.ly/sh-witten
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Attn #statstwitter: New courses this summer! Join Interactive Visual Dashboards w/ #RShiny, Unsupervised Statistical Learning w/ #Python, or Data Analysis w/ ChatGPT: Promise & Pitfalls. Plus returning faves on #DAGs, #machinelearning, #tidyverse, & more. bit.ly/3wdWfjF
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Getting the right estimates from a 2x2 factorial design can be tricky. On the Code Horizons blog, @VincentAB walks you through the process step-by-step with his marginaleffects package for #Rstats. bit.ly/ch_2x2
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Now on YouTube: The 1st hour of @psmaldino's "Intro to Agent-Based Modeling" seminar! Join Jan. 15-17 to learn how agent-based models help simulate social systems and get hands-on experience building & analyzing agent-based models using NetLogo. piped.video/6QET899q3B0
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Curious about #sensitivityanalysis in #causalinference? Watch the 1st hour of @kenfrank20’s "Sensitivity Analysis for Causal Inference" seminar on YouTube. Join the full seminar Mar. 5-6 to dive deeper into robust inference techniques. piped.video/cIEHaBQRUZk
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Instructor @laurenmgaydosh discusses tools for measuring biological aging on the Statistical Horizons blog. Learn more about epigenetic clocks, how they're used, and reasons for caution. bit.ly/sh-bio-ag
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Congratulations to @KristopherJPre1, long-time Statistical Horizons instructor, whose Google Scholar citation count recently topped 100,000. bit.ly/3wzSpfF
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Struggling with complex statistical results? Watch the first hour of @VincentAB’s "Interpreting and Communicating Statistical Results with R" on YouTube, and join the full seminar March 27-28 to learn an advanced toolkit in #Rstats! piped.video/wKvFAs6-fNA
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Need to analyze repeated measures or panel data? Watch the 1st hr of Stephen Vaisey's "Longitudinal Data Analysis Using #Rstats" on YouTube! Join Feb 27-Mar 1 for more on using panel data to model the evolution of outcomes & improve your causal inferences. bit.ly/ld-sh
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Learn how to uncover hidden subgroups in your data with Latent Class Analysis. Join Stephanie Lanza and @bcbray on March 20-22 to master LCA techniques, from model selection to covariate inclusion. Watch the first hour on YouTube now: piped.video/SWtpek8jTfE
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Discover how to model change over time w/ @dmcneish18's "Latent Growth Curve Modeling", Jan. 15-17. Learn the key concepts, specialized methods, & advanced techniques to apply these models to real-world longitudinal data. Watch the 1st hour on Youtube now! piped.video/Z4-ZJNBkiUM
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Are you a @Stata user looking to learn the latest statistical methods? Get hands-on experience with one of our remote short seminars on Multilevel & Mixed Models, Analysis of Cost Data, Time Series Analysis, Item Response Theory, & more. Visit bit.ly/35xJ9wQ! #stata
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Curious about R? Paul Allison explains why "R Should Be Your Second Language (If It’s Not Already Your First)", even if you prefer to use SAS, Stata or SPSS, on our blog. Read it now: statisticalhorizons.com/r-sh…
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Learn to test mediation, moderation, & conditional process models w/ @AmandaKMontoya. Watch the 1st hour of "Mediation, Moderation, & Conditional Process Analysis," and join Apr. 3-5 to explore direct/indirect effects, interactions, & PROCESS macro tools. piped.video/YTxmobVtXa8
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Interested in machine learning, quantile regression, DAGs, difference in differences, instrumental variables, latent class analysis, or categorical SEM? Check out a free sample video, now available for all returning seminars, at statisticalhorizons.com!
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We just posted our spring/summer schedule of courses. You'll be amazed how much data analysis you can learn in two days. Join us! statisticalhorizons.com/semi…
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Director of Code Horizons @vaiseys previews Andrew Gelman's (@StatModeling) Distinguished Speaker Series lecture on "Multilevel Modeling for Design & Analysis", May 31st, on the Statistical Horizons blog. statisticalhorizons.com/andr…
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Check out the latest free videos for our summer seminars on:
-Econometrics #econtwitter
-Longitudinal Data Analysis w/ #Rstats
-Machine Learning
-Mediation, Moderation, & Conditional Process
Analysis
-Regression Discontinuity Designs
bit.ly/3HMBddi
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Explore "Reproducible Reports w/ Quarto & R Markdown" w/ @AaronGullickson! Join the seminar Jan. 23-25 to learn how #Quarto streamlines your reporting by integrating code, tables, & figures directly into the analysis. Watch the 1st hour on YouTube now! bit.ly/quarto-r-ch
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Learn how to choose the right model for longitudinal data w/ Kenneth Bollen! The 1st hour of his seminar, now on YouTube, introduces foundational models & concepts. Join Feb. 20-22 to dive deeper into model estimation, comparisons, & advanced techniques. piped.video/uyIn-cGcLQk
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Want to make beautful graphs like these? Join Kieran Healy in Philadelphia on December 7-8 and you will learn how. Only a few spots left! @kjhealy statisticalhorizons.com/semi…
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Watch the 1st hour of @GolinoHudson's "Network Psychometrics with Exploratory Graph Analysis" on YouTube! Join the full seminar Apr. 30-May 2 to learn to estimate factors, assess structural validity, analyze item stability, & apply EGA using #Rstats. piped.video/qVf5PAOuQ-E
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Stuck at home? Check out our online seminars and learn statistical methods - like Survival Analysis, Treatment Effects, Missing Data, and more - at your own pace over 4 weeks. Courses starting April 3. Learn more here: statisticalhorizons.com/semi…
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Check out our new courses on Multilevel and Mixed Models Using R and Longitudinal Data Analysis Using R, offered this summer in Philadelphia.
statisticalhorizons.com/semi…
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Check out the brand-new Code Horizons website! Sharpen and learn new coding skills on topics such as Python, R, workflow methods, and data visualization. Sign up for our mailing list to be the first to hear about our newest and most popular short seminars. codehorizons.com
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Interesting interview with @DavidDunson7, co-author of "Bayesian Data Analysis", on advances in statistics and data science. piped.video/watch?v=-rWf0TvP…
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Looking to improve your workflow @Stata users? Join
@BiancaManago1 for Workflow of Data Analysis on Oct. 7-9. Learn to prepare your data for analysis w/ topics like directory structure, writing robust script files, using log files, & variable naming. bit.ly/2YDCDo2
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Most analysts expect that the coefficient associated with a predictor variable will get smaller when other variables are added to the regression model. But sometimes they can get larger. Learn about this phenomenon—called a suppressor effect—on our blog. statisticalhorizons.com/when…
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Join Paul Allison to learn Longitudinal Data Analysis Using Structural Equation Modeling, Feb 1-2 in Ft. Myers, FL. Register by the end of the year to get $100 off. statisticalhorizons.com/semi…
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Learn Treatment Effects Analysis from @vaiseys at your own pace with our 4-week online course starting April 3. Topics include: propensity scores, exact matching, doubly-robust estimators, and entropy balancing. Space is limited. statisticalhorizons.com/trea…
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Learn how to visualize your data using R, December 7-8 in Philadelphia. Sign up by 11/7 to get $100 off your registration. statisticalhorizons.com/semi…
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Discover a fully #Bayesian approach to handling missing data with Paul Allison on the Statistical Horizons YouTube channel! Dive into the theory, advantages, caveats, and practical examples. Subscribe now for more great content! piped.video/3-R_dGD4Eqc
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Learn how to create and validate psychometric scales using #AI and #Rstats. Join @GolinoHudson for "Automatic Item Generation and Validation," Sept. 10–11. The first hour, now on YouTube, introduces the motivation and key concepts behind the method. piped.video/BmGbPQMMVVE
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Free Book! You can now download a copy of Dr. Paul Allison's book, Fixed Effects Regression Methods for Longitudinal Data Using SAS, directly on the Statistical Horizons website. Visit statisticalhorizons.com to add it to your library.
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Multilevel & Mixed Models Using @Stata starts Tuesday! Join @vaiseys for a remote intro to multilevel models and learn the (real) difference between fixed & random effects and how to combine the strengths of both into a single model. bit.ly/3yGIgi7
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In his new post on the SH blog @brucedesmarais unpacks how to decide when your #machinelearning pipeline is ready to transition from development to real-world application, covering strategies like benchmarking, testing approaches & using pre-trained models bit.ly/ml4-sh
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There's something for everyone on our summer schedule! Register now to join us for short statistics courses on statistical genetics, #Python, SEM, data visualization using @Stata, econometrics, difference in differences, machine learning, #Rstats & more. bit.ly/3wD7Ztp
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Check out our Data Cleaning seminar for Stata or R- codehorizons.com/Seminars/da…
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More and more researchers are using R for statistical analysis. Learn how to estimate multilevel and panel models using R this summer in Philadelphia.
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Are there hidden subgroups in your data? Learn Latent Class Analysis to find out, December 7-8 in Philadelphia. Sign up by 11/7 to get $100 off your registration. statisticalhorizons.com/semi…
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Bayesian methods are revolutionizing statistics. Learn Applied Bayesian Data Analysis in Philadelphia, Nov 3-4. statisticalhorizons.com/semi…
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Do you have clustered data and a binary or other categorical outcome variable? Come learn how to handle this situation in our Multilevel Modeling of Non-Normal Data course, June 7-8 in Philadelphia. Register now for $100 off! statisticalhorizons.com/semi…
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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.
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Difference-in-Differences (DID) is back! Join @nickchk on July 19-22. You'll leave with the skills to understand DID designs and when to use them, estimate DID models, evaluate assumptions, and understand and use DID extensions & related methods. bit.ly/3tbqza0
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Great free book by @causalinf on causal inference with observational data: mixtape.scunning.com/
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Looking for a thorough intro to DAGs? Join Directed Acyclic Graphs for Causal Inference w/ Felix Elwert on June 3-6 to learn the essential elements for #causal reasoning with DAGs. We'll also use DAGs to discuss many important challenges in observational data analysis.
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New dates coming soon!
To all the #applied #microeconomists out there, I cannot recommend you enough the #DiD Summer School of @pedrohcgs at @StatHorizons ! Don’t miss the next edition to know more about his cutting-edge methods and to benefit from his advice on your research!! Thanks again @pedrohcgs!
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Paul Allison's latest blog post suggests (and demonstrates) methods for correctly estimating fixed effects models with lagged predictors, and determines which works best. bit.ly/3z8HLzV
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#Rstats seminars are open! Learn the basics of stats w/ R, improve your workflow, build #RShiny apps, work with the #tidyverse, create data visualizations w/ #ggplot2. Use R for machine learning, econometrics & more. bit.ly/3tApIjQ
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For more information and to register, visit statisticalhorizons.com/semi….
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A new and promising approach to variable selection:
amstat.tandfonline.com/doi/f…
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The 1st hour of "Interactive Visual Dashboards Using R Shiny" with Adam D. Rennhoff is now on YouTube! Get started with ggplot2 and the #tidyverse, then join us April 30-May 2 to learn how to build and deploy interactive dashboards with #RShiny in #Rstats. piped.video/l_BFUuj5riM
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