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Katie Allison (COVID Public Health Directorate): COVID-19 Infection Survey (CIS) in Scotland. The CfS Research Day gathered together experts in the analysis of Covid-19 data to discuss current…
Publisher
Centre for Statistics Licence Type
All rights reserved Language
English Date Created
March 1st, 2021
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Part B
Licence Type
All rights reserved The University of Edinburgh
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Part A
Licence Type
All rights reserved The University of Edinburgh
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We work through how to apply large-sample theory to A/B testing.
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 28th, 2021
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We look at how to obtain more precise and estimates in A/B testing - and how to avoid some pitfalls.
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 28th, 2021
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We explain the principle of A/B testing, and how to derive confidence intervals for the difference in population proportions using the bootstrap.
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 28th, 2021
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Data storyboarding: confidence intervals By Glenna Nightingale and Jacqueline Aim. Copyright © University of Edinburgh 2020 CC BY-NC-SA This work is licensed under a Creative Commons…
Licence Type
Creative Commons - Attribution Non Commercial Share A Like
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We extend logistic regression to multiple independent variables, and show how we can use the boostrap to estimate confidence intervals for coefficients, and to test hypotheses.
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial No Derivatives Language
English Date Created
January 20th, 2021
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We'll look at means from small samples, where the normal approximation of the sampling distribution of the mean breaks down.
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial No Derivatives Language
English Date Created
January 15th, 2021
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We'll consider two aspects of the interpretation of confidence intervals
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 15th, 2021
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We introduce the bootstrap method of estimating confidence intervals
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 15th, 2021
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We'll derive confidence intervals for the mean of large samples, when we can assume the sampling distribution of the mean is normal.
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 15th, 2021
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We give a formal definition of confidence intervals, and show how the random interval can be converted to a random variable
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 15th, 2021
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