The healthy user bias or healthy worker bias is a bias that can damage the validity of epidemiologic studies testing the efficacy of particular therapies or interventions. Specifically, it is a sampling bias or selection bias: the kind of subjects that take up an intervention, including by enrolling in a clinical trial, are not representative of the general population. People who volunteer for a study can be expected, on average, to be healthier than people who don't volunteer, as they are concerned for their health and are predisposed to follow medical advice, both factors that would aid one's health. In a sense, being healthy or active about one's health is a precondition for becoming a subject of the study, an effect that can appear under other conditions such as studying particular groups of workers. For example, someone in ill health is unlikely to have a job as manual laborer. As a result, studies of manual laborers are studies of people who are currently healthy enough to engage in manual labor, rather than studies of people who would do manual labor if they were healthy enough. (Wikipedia).
Statistics Lesson #4: Sources of Bias
This video is for my College Algebra and Statistics students (and anyone else who may find it helpful). I define bias, and we look at examples of different types of bias, including voluntary response bias, leading question bias, and sampling bias. I hope this is helpful! Timestamps: 0:00
From playlist Statistics
This lesson reviews sources of bias when conducting a survey or poll. Site: http://mathispower4u.com
From playlist Introduction to Statistics
In this video, you’ll learn more about how to judge online information. Visit https://edu.gcfglobal.org/en/searchbetter/judging-online-information/1/ for our text-based lesson. This video includes information on what to ask yourself when reading a website including: • What is the site's p
From playlist Digital Media Literacy
Not all types of bias are fixed by diversifying your dataset
The idea of bias is often too general to be useful. There are several different types of bias, and different types require different interventions to try to address them. Through a series of cases studies, we will go deeper into some of the various causes of bias.
From playlist 11 Short Machine Learning Ethics Videos
Bias & Fairness (Data Ethics Lesson 2)
Unjust bias is an increasingly discussed issue in machine learning and has even spawned its own field as the primary focus of Fairness, Accountability, and Transparency (FAT*). We will go beyond a surface-level discussion and cover questions of how fairness is defined, different types of b
From playlist Practical Data Ethics
Sample bias: Response, Voluntary Response, Non-Response, Undercoverage, and Wording of Questions
From playlist Unit 4: Sampling and Experimental Design
In this video I talk about being your best self. I think it's important to keep this in mind sometimes. If you enjoyed this video please consider liking, sharing, and subscribing. You can also help support my channel by becoming a member https://www.youtube.com/channel/UCr7lmzIk63PZnBw3
From playlist Inspiration and Advice
Survivorship Bias - Examples, Definitions, and String Art - Cognitive Biases
The Survivor Bias, also know as the survival or survivorship bias, is a commonly committed cognitive bias in the field of business and science. When people make assumptions from data without understanding where all the data is coming from, they are falling victim to a great example of a su
From playlist Cognitive Biases
Goddard: Drivers' attitudes about bicyclists
UC Irvine Public Health Seminar - recorded on May 8, 2017 Drivers' attitudes about bicyclists: roadway norms, implicit bias, and implications for safety Although traffic deaths in the United States have declined since the 1970s, car crashes remain a leading cause of death. Vulnerable roa
From playlist Public Health: Collections
AWS Route 53 | AWS Route 53 Tutorial | What Is AWS Route 53? | AWS Tutorial | Simplilearn
🔥 Cloud Architect Master's Program (Discount Code: YTBE15): https://www.simplilearn.com/cloud-solutions-architect-masters-program-training?utm_campaign=AWS-BtiS0QyiTK8&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥 Caltech Cloud Computing Bootcamp (US Only): https://www.simplilearn.c
From playlist AWS Tutorial Videos For Beginners 🔥[2022 Updated] | Simplilearn
Confirmation Bias - Definition, Examples and How to Avoid - Psychology Motovlog
Learn the definition of the confirmation bias and understand examples of this cognitive bias in this informative video. The confirmatory bias is a very common flaw and can be found almost everywhere. There are a few tips you can use to avoid this common logical flaw in your daily thinking,
From playlist Cognitive Biases
Stanford Seminar - Future Ethics
Cennydd Bowles Cennydd Ltd October 5, 2018 Dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field will be presented in this seminar. Each week, a unique collection of technologists, artists, designers, and activi
From playlist Stanford Seminars
Atttributions! || SOCIAL PSYCHOLOGY Summer 2020 #OnlineCourse || Learn Psych
This is a video on demand from a livestream on Twitch. It is an exploration, discussion, and expansion of ideas from lecture videos uploaded on this channel. Its paired lecture video: https://youtu.be/5RXdDM1HYXY Find me on Twitch for educational/science/course/and sometimes gaming strea
From playlist Social Psychology July 2020 Livestreams
TOC 2012: Linda Holliday, "Why the Next Era Represents the Reemergence of Professional Media"
TOC 2012: Linda Holliday, "Why the Next Era Represents the Reemergence of Professional Media"
From playlist TOC 2012
How Big Data Ruins Your Health Care
Insurance companies use big data to predict your health and profitability. Your life choices may easily cost you your coverage or accessibility of treatments. Join my channel and become a member to enjoy perks https://www.youtube.com/channel/UCjr2bPAyPV7t35MvcgT3W8Q/join Support me through
From playlist Decrypted Lies
What is a Neural Network - Ep. 2 (Deep Learning SIMPLIFIED)
With plenty of machine learning tools currently available, why would you ever choose an artificial neural network over all the rest? This clip and the next could open your eyes to their awesome capabilities! You'll get a closer look at neural nets without any of the math or code - just wha
From playlist Deep Learning SIMPLIFIED
Data Mistakes: Study Hall Data Literacy #13: ASU + Crash Course
We all makes mistakes, even on our best days. But we need to understand the difference between a mistake and fraud. In this episode of Study Hall: Data Literacy, Jessica shows us how we can both find errors and see when data is fraudulent. Presented by Arizona State University and Crash
From playlist Study Hall: Data Literacy
See.Know.Bias - Using AI to Develop Media Literacy and Keep News Neutral | workshop capstone
Visit https://ai.science for more content like this, and to see the upcoming workshops! In this era of information overload, it is more important than ever to be a critical thinker and consumer of news media. See.Know.Bias is an app for detecting bias in news media, designed to develop me
From playlist Community Projects