Fixed Effects and Random Effects
Brief overview in plain English of the differences between the types of effects. Problems with each model and how to overcome them.
From playlist Experimental Design
Random Processes and Stationarity
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Introduction to describing random processes using first and second moments (mean and autocorrelation/autocovariance). Definition of a stationa
From playlist Random Signal Characterization
Crossover Random Experiment - Causal Inference
In this video, I explain the concept of a crossover random experiment which is essentially the practical/normal version of a single individual idealized experiment (which we covered in the previous video: https://youtu.be/bJ0dlGkYga0 of the Causal Inference series).
From playlist Causal Inference - The Science of Cause and Effect
(PP 3.1) Random Variables - Definition and CDF
(0:00) Intuitive examples. (1:25) Definition of a random variable. (6:10) CDF of a random variable. (8:28) Distribution of a random variable. A playlist of the Probability Primer series is available here: http://www.youtube.com/view_play_list?p=17567A1A3F5DB5E4
From playlist Probability Theory
LTI System Models for Random Signals
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Overviews the autoregressive, moving-average, and autoregressive moving-average models for random signals. These describe a random signal as the ou
From playlist Random Signal Characterization
An Introduction to Linear Regression Analysis
Tutorial introducing the idea of linear regression analysis and the least square method. Typically used in a statistics class. Playlist on Linear Regression http://www.youtube.com/course?list=ECF596A4043DBEAE9C Like us on: http://www.facebook.com/PartyMoreStudyLess Created by David Lon
From playlist Linear Regression.
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
R - Multilevel Models Workshop Part 2
Lecturer: Dr. Erin M. Buchanan Harrisburg University of Science and Technology Spring 2019 Workshop for Rutgers Spanish and Portuguese department (https://span-port.rutgers.edu/) covering multilevel models (linear, nonlinear, and growth examples). Check out the materials at https://rstudi
From playlist Advanced Statistics Videos
SPSS - Moderated Mediation with PROCESS (Model 7)
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 Lecture materials and assignment available at statisticsofdoom.com. https://statisticsofdoom.com/page/advanced-statistics/ This video covers moderated mediation (model 7) using Hayes' Process plug in for SPSS - include
From playlist Advanced Statistics Videos
R - Binary Logistic Multilevel Models
Lecturer: Dr. Erin M. Buchanan Harrisburg University of Science and Technology Fall 2019 This video covers binary logistic regression + multilevel models in R using glmer and the lme4 package. I cover an example of a project that our research lab has under review. We talk about assumption
From playlist Advanced Statistics Videos
Statistical Rethinking Winter 2019 Lecture 18
Lecture 18 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. Varying slopes, non-centered parameterization, instrumental variables, social relations model.
From playlist Statistical Rethinking Winter 2019
Courses - R. SUN "Brownian web, Brownian net, and their universality"
The Brownian web is the collection of one-dimensional coalescing Brownian motions starting from every point in space-time. Originally conceived by Arratia in the context of the one-dimensional voter model and its dual coalescing random walks, the Brownian web has since been shown to arise
From playlist T1-2015 : Disordered systems, random spatial processes and some applications
Kevin Painter: Connecting individual- and population-level models for the movement and organisation4
Abstract: The manner in which a population, whether of cells or animals, self-organises has been a long standing point of interest. Motivated by the problem of morphogenesis – the emergence of structure and form in the developing embryo - Alan Turing proposed his highly counterintuitive re
From playlist Summer School on Stochastic modelling in the life sciences
ICTS Special Colloquium by Bruce Walsh
Second Bangalore School on Population Genetics and Evolution URL: http://www.icts.res.in/program/popgen2016 DESCRIPTION: Just as evolution is central to our understanding of biology, population genetics theory provides the basic framework to comprehend evolutionary processes. Population
From playlist Second Bangalore School on Population Genetics and Evolution
IMS Public Lecture: Mobile Health Intervention Optimization
Susan A Murphy, Harvard University, USA
From playlist Public Lectures
Linear Regression using Python
This seminar series looks at four important linear models (linear regression, analysis of variance, analysis of covariance, and logistic regression). A video that explains all four model types is at https://www.youtube.com/watch?v=SV9AxXFWZnM&t=12s This video is on linear regression usin
From playlist Statistics
R - Multilevel Models Lecture (Updated)
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2017 This video is a rerecording of a multilevel model lecture I gave a while back - covers the ideas behind MLM and how to run a model in R using nlme. The example is new! Lecture materials and assignment available at sta
From playlist Advanced Statistics Videos