Estimate the Correlation Coefficient Given a Scatter Plot
This video explains how to estimate the correlation coefficient given a scatter plot.
From playlist Performing Linear Regression and Correlation
Chapter 12 Sensitivity Specificity Predictive Values Odds Ratios
Ever wandered how to calculate sensitivity, specificity, positive and negative predictive values or odds ratios or even simply what these terms mean? Watch this short lecture.
From playlist Medical Statistics
Statistics: Ch 3 Bivariate Data (12 of 25) How to Calculate the Correlation Coefficient?
Visit http://ilectureonline.com for more math and science lectures! We will calculate the correlation coefficient, r=?, of 10 sets of push-up and sit-up data. To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 . Next video in this series can be seen at
From playlist THE "HOW TO" PLAYLIST
Covariance (8 of 17) What is the Correlation Coefficient?
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn what is and how to find the correlation coefficient of 2 data sets and see how it corresponds to the graph of the data
From playlist COVARIANCE AND VARIANCE
This video explains how to find the correlation coefficient which describes the strength of the linear relationship between two variables x and y. My Website: https://www.video-tutor.net Patreon: https://www.patreon.com/MathScienceTutor Amazon Store: https://www.amazon.com/shop/theorga
From playlist Statistics
Average Treatment Effects: Propensity Scores
Professor Stefan Wager discusses the propensity score, and inverse-propensity weighting.
From playlist Machine Learning & Causal Inference: A Short Course
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j This is the 2020 version of the lecture delivered via Zoom, d
From playlist MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Loss Functions: Policy Learning
Professor Stefan Wager distills best practices for causal inference into loss functions.
From playlist Machine Learning & Causal Inference: A Short Course
Causal inference in observational studies: Emma McCoy, Imperial College London
Emma McCoy is the Vice-Dean (Education) for the Faculty of Natural Sciences and Professor of Statistics in the Mathematics Department at Imperial College London. Her current research interests are in developing time-series and causal inference methodology for robust estimation of treatment
From playlist Women in data science conference
Measures of Centre & Spread Across Comparable Populations
More resources available at www.misterwootube.com
From playlist Data Analysis
Covariance (14 of 17) Covariance Matrix "Normalized" - Correlation Coefficient
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will find the “normalized” matrix (or the correlation coefficients) from the covariance matrix from the previous video using 3 sa
From playlist COVARIANCE AND VARIANCE
Prison or Sanctuary? An Evaluation of Camps for Syrian Refugees
Camps are a controversial strategy to manage an influx of refugees. Host countries want to minimize negative effects on citizens, but relief organizations worry that isolation reduces employment and self-reliance over time. Using a large and representative survey, Dr. Thomas Ginn studies Syr
From playlist Refugee Program Seminars
Frauke Kreuter - Universal Adaptability, Methodological Approach to Intersectionality, Heterogeneity
Recorded 19 July 2022. Frauke Kreuter of the University of Maryland presents "Who Decides Who Counts? Universal Adaptability and other Methodological Approaches to Capture Intersectionality and Effect Heterogeneity" at IPAM's Who Counts? Sex and Gender Bias in Data workshop. Learn more onl
From playlist 2022 Who Counts? Sex and Gender Bias in Data
Julie Josse: Treatment effect estimation with missing attributes
CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 04, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians
From playlist Virtual Conference
Lecture 21: PF (Part 4) / Labor (Part 1)
MIT 14.771 Development Economics, Fall 2021 Instructor: Ben Olken View the complete course: https://ocw.mit.edu/courses/14-771-development-economics-fall-2021 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61kvh3caDts2R6LmkYbmzaG Concludes discussion of tax, with th
From playlist MIT 14.771 Development Economics, Fall 2021
HTE: Confounding-Robust Forests
Professor Stefan Wager discusses general principles for the design of robust, machine learning-based algorithms for treatment heterogeneity in observational studies, as well as the application of these principles to design more robust causal forests (as implemented in GRF).
From playlist Machine Learning & Causal Inference: A Short Course
Covariance (9 of 17) What is the Correlation Coefficient?
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will calculate the correlation coefficients of 2 separate 2 data sets and graph the 2 graphs and see how the graphs corresponds t
From playlist COVARIANCE AND VARIANCE