What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of Advanced Statistics for Data Science Specialization
Instructor: Brian Caffo, PhD
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Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
In this module, you'll get an introduction to hypothesis testing, a core concept in statistics. We'll cover hypothesis testing for basic one and two group settings as well as power. After you've watched the videos and tried the homework, take a stab at the quiz.
12 videos1 reading2 assignments
In this module we'll be covering some methods for looking at two binomials. This includes the odds ratio, relative risk and risk difference. We'll discussing mostly confidence intervals in this module and will develop the delta method, the tool used to create these confidence intervals. After you've watched the videos and tried the homework, take a crack at the quiz!
8 videos2 assignments
In this module, we'll discuss testing in discrete data settings. This includes the famous Fisher's exact test, as well as the many forms of tests for contingency table data. You'll learn the famous observed minus expected squared over the expected formula, that is broadly applicable.
7 videos2 assignments
This module is a bit of a hodge podge of important techniques. It includes methods for discrete matched pairs data as well as some classical non-parametric methods.
16 videos2 assignments
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133 reviews
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Reviewed on Jul 27, 2018
Please, make a reboot of this course with some improvements in the material.More examplesMore solved exercises.More homework.
Reviewed on Sep 30, 2018
Goode videos and teacher. The videos are old and it will be perfect to refresh them and make it more interactive.
Reviewed on Aug 15, 2019
Thank you Dr Brian for the in-depth teaching from fundamental to application in real-world healthcare research
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