01:48

Overview of Progress Report

03:21

Actionable AI Advice

03:19

Contribute Models to Help the AI System

11:16

Debiasing Algorithms

08:39

Mediated Effect through Counterfactual Models: Methods of Actionable AI

03:11

Organize Your Data in All of Us Database

11:55

Causal Networks Using Regressions

03:41

Where do you want to work?

04:43

Overview of Registration for All of Us Data

11:45

Creating Causal Networks through Chain of Regressions

33:26

Regression through Search

09:15

Network Mediation Analysis

09:18

Interrelated Network Graphs, Independence Assumptions, Joint Distribution Equations

03:24

Causal Networks Using Regressions

19:28

Logitic Regression in STATA

12:39

Model Building in Regression

18:14

Logistic Regression

38:41

Correlation and Regression

10:12

STATA Examples of Multiple Regression

30:42

Overview of Multiple Linear Regression

02:30

Randomization and Block Design

08:04

Using STATA for ANCOVA

08:25

One Way Analysis of Variance

12:11

Text Processing + Statistical Process Control for Stream of Social Media

03:02

Impact of Body Systems on Prognosis of Patients with Multiple Morbidities

06:14

Ontological Adjustment of Sample Size for Rare Conditions

10:34

Comparison of Rates Question 2

17:58

Comparison of Rates Question 4

02:56

Roshanak Banoo Hooshmand (RBH) 2019 and 2020 Paintings

02:16

Roshanak Banoo Hooshmand's 100 Plus Paintings

01:47

Mostly 2020 Paintings of Roshanak Banoo Hooshmand

01:29

Paintings 2019

04:45

Roshanak Banoo Hooshmand 2019 Paintings

13:52

Multiple Regressions Inside Every Network

11:41

Comparison of Means Question 12 Python Solution

13:15

Comparison of Means Question 4 Solution

09:27

Comparison of Means Question 3 Solution

03:03

Risk Assessment Question 3 Solution

05:17

Solution to Question 7

09:06

Download & Install Python

09:36

How to Read & Plot Control Charts Using Python

11:39

Network Modeling through LASSO Regression

01:54

Using LASSO Regressions to Construct Causal Networks

11:06

Multi Level Analysis Using SQL

01:12

Overview Session for Constructing Network Models

02:07

Overview of Session on Causal Networks

02:04

Session Overview on Data Balancing through Switching Distributions & Synthetic Controls

03:05

Session Overview on Stratified Covariate Balancing

01:46

Overview for Session on Multilevel Modeling

02:51

Propensity Scoring

01:21

Overview of Session on Logistic Regression

01:36

Review of Regression

02:52

Introduction to Course on Causal Analysis

08:44

Pearl's "Do Operation" without Knowledge of Underlying Network Structure

15:25

Optimizing Stratification through Blokcing Backdoor Paths

06:59

Grow Shrink Algorithm for Discovering Markov Blankets (no narration, quiet video)

08:23

Improving Overlap between Cases and Controls

09:45

Data Balancing using Stratified Covariate Balancing

07:34

Predicting from a Network Model through Cycles of Join and Elimination

03:07

Common cause, Common Effect, and Causal Chains for 3 Variables