Causal Mediation Analysis with Linda Valeri
Statistical Horizons
Causal Mediation Analysis with Linda Valeri
14:46
Advanced Machine Learning with Bruce Desmarais
Statistical Horizons
Advanced Machine Learning with Bruce Desmarais
10:26
Spatial Data & Health Outcomes: An Introduction with Simon Brewer
Statistical Horizons
Spatial Data & Health Outcomes: An Introduction with Simon Brewer
49:08
Mediation & Moderation for Within-Subject Designs: An Intro with Amanda Montoya
Statistical Horizons
Mediation & Moderation for Within-Subject Designs: An Intro with Amanda Montoya
51:10
What Is Epigenomics? A Beginner's Guide with Jennifer Smith
Statistical Horizons
What Is Epigenomics? A Beginner's Guide with Jennifer Smith
50:42
Latent Transition Analysis: An Introduction with Bethany Bray & Stephanie Lanza
Statistical Horizons
Latent Transition Analysis: An Introduction with Bethany Bray & Stephanie Lanza
58:29
Dynamic SEM for Intensive Longitudinal Data: An Introduction with Dan McNeish
Statistical Horizons
Dynamic SEM for Intensive Longitudinal Data: An Introduction with Dan McNeish
1:01:13
Adaptive Interventions and SMART Designs: An Introduction with Nicholas Seewald
Statistical Horizons
Adaptive Interventions and SMART Designs: An Introduction with Nicholas Seewald
1:00:32
Meta-Analysis for Researchers: Introduction and Key Concepts with David Wilson
Statistical Horizons
Meta-Analysis for Researchers: Introduction and Key Concepts with David Wilson
59:13
Mixed Models for Intensive Longitudinal Data: Intro to EMA & Multilevel Analysis with Donald Hedeker
Statistical Horizons
Mixed Models for Intensive Longitudinal Data: Intro to EMA & Multilevel Analysis with Donald Hedeker
57:06
The Science of Biological Aging: Concepts & Measurement with Lauren Gaydosh
Statistical Horizons
The Science of Biological Aging: Concepts & Measurement with Lauren Gaydosh
1:00:43
Understanding Item Response Theory (IRT): Key Concepts & Applications with Matthew Diemer
Statistical Horizons
Understanding Item Response Theory (IRT): Key Concepts & Applications with Matthew Diemer
59:15
Analyzing Complex Survey Data: An Introduction with Brady West
Statistical Horizons
Analyzing Complex Survey Data: An Introduction with Brady West
59:33
Instrumental Variables & Causal Inference from Observational Data: Key Concepts with Felix Elwert
Statistical Horizons
Instrumental Variables & Causal Inference from Observational Data: Key Concepts with Felix Elwert
1:02:17
Network Psychometrics & Exploratory Graph Analysis (EGA) with Hudson Golino
Statistical Horizons
Network Psychometrics & Exploratory Graph Analysis (EGA) with Hudson Golino
56:00
Intro to Mediation, Moderation, and Conditional Process Analysis with Amanda Montoya
Statistical Horizons
Intro to Mediation, Moderation, and Conditional Process Analysis with Amanda Montoya
56:51
Latent Class Analysis: Learn Key Concepts with Stephanie Lanza & Bethany Bray
Statistical Horizons
Latent Class Analysis: Learn Key Concepts with Stephanie Lanza & Bethany Bray
1:06:29
Quantifying Sensitivity in Causal Inference with Kenneth Frank
Statistical Horizons
Quantifying Sensitivity in Causal Inference with Kenneth Frank
1:00:07
Longitudinal Data Analysis Using R: An Introduction to Panel Data with Stephen Vaisey
Statistical Horizons
Longitudinal Data Analysis Using R: An Introduction to Panel Data with Stephen Vaisey
57:49
Kenneth A. Bollen on Choosing Models for Longitudinal Data Analysis
Statistical Horizons
Kenneth A. Bollen on Choosing Models for Longitudinal Data Analysis
1:00:38
Latent Growth Curve Modeling: An Introduction to Longitudinal Data with Dan McNeish
Statistical Horizons
Latent Growth Curve Modeling: An Introduction to Longitudinal Data with Dan McNeish
1:07:54
Statistical Genetics: Foundations for Genomic Data Analysis with Daniel Adkins
Statistical Horizons
Statistical Genetics: Foundations for Genomic Data Analysis with Daniel Adkins
1:10:40
Bayesian Data Analysis: Methods in Advanced Models with Roy Levy
Statistical Horizons
Bayesian Data Analysis: Methods in Advanced Models with Roy Levy
1:06:11
Structural Equation Modeling (SEM) with Rex B. Kline: An Introduction to Methods & Best Practices
Statistical Horizons
Structural Equation Modeling (SEM) with Rex B. Kline: An Introduction to Methods & Best Practices
1:00:04
Fully Bayesian Treatment of Missing Data with Paul Allison
Statistical Horizons
Fully Bayesian Treatment of Missing Data with Paul Allison
35:54
Intro to Multilevel Models: Exploring Variance in Nested Data with Stephen Vaisey
Statistical Horizons
Intro to Multilevel Models: Exploring Variance in Nested Data with Stephen Vaisey
1:19:27
Propensity Score Analysis: Get Started with Treatment Effect Estimation with Shenyang Guo
Statistical Horizons
Propensity Score Analysis: Get Started with Treatment Effect Estimation with Shenyang Guo
56:17
Bayesian Data Analysis: Get Started with Roy Levy
Statistical Horizons
Bayesian Data Analysis: Get Started with Roy Levy
58:30
Introduction to Time Series Analysis: Practical Methods Explained with Daniel J. Henderson
Statistical Horizons
Introduction to Time Series Analysis: Practical Methods Explained with Daniel J. Henderson
1:11:21
Introduction to Difference-in-Differences (DiD): Panel Data and Fixed Effects Models Explained
Statistical Horizons
Introduction to Difference-in-Differences (DiD): Panel Data and Fixed Effects Models Explained
1:00:23
Introduction to Categorical Data Analysis: Understanding Nonlinear Effects with Trenton Mize
Statistical Horizons
Introduction to Categorical Data Analysis: Understanding Nonlinear Effects with Trenton Mize
1:04:50
Introduction to Machine Learning Methods with Bruce Desmarais
Statistical Horizons
Introduction to Machine Learning Methods with Bruce Desmarais
1:00:28
A Short Introduction to R
Statistical Horizons
A Short Introduction to R
1:06:35