Epidemiologyguy1
On this page, you find all documents, package deals, and flashcards offered by seller epidemiologyguy1.
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8 items
MSc in Epidemiology modules
All the help you need for the MSc in Epidemiology!
- Package deal
- • 7 items •
- Practical statistic analysis using R (and Rstudio) • Summary
- Statistical Analysis - Complete guide • Summary
- Bayesian Modelling for Spatial and Spatio-temporal data • Summary
- Further Methods in Infectious Disease Modelling • Summary
- Outbreaks modelling and understanding • Summary
- And more ….
All the help you need for the MSc in Epidemiology!
Genetics of Infectious Disease Pathogens
All the theoretical, practical and tutorial classes. The document will provide you with an in-depth understanding of the module content.
- Package deal
- Summary
- • 121 pages •
All the theoretical, practical and tutorial classes. The document will provide you with an in-depth understanding of the module content.
Emerging and Neglected Infectious Diseases
This module is for you if want to know more about infectious diseases, outbreak investigation, surveillance, WASH strategy, mass drug administration, etc.
- Package deal
- Summary
- • 35 pages •
This module is for you if want to know more about infectious diseases, outbreak investigation, surveillance, WASH strategy, mass drug administration, etc.
Outbreaks modelling and understanding
If you are doing this module, I would advise you to join your course mates and answer this module together (it can be so much fun!). If you are curious about the theory, here are some notes.
- Package deal
- Summary
- • 39 pages •
If you are doing this module, I would advise you to join your course mates and answer this module together (it can be so much fun!). If you are curious about the theory, here are some notes.
Further Methods in Infectious Disease Modelling
All the theoretical, practical and tutorial classes. The document will provide you with an in-depth understanding of the module content.
- Package deal
- Summary
- • 61 pages •
All the theoretical, practical and tutorial classes. The document will provide you with an in-depth understanding of the module content.
Statistical Analysis - Complete guide
A complete explanation of the "Introduction to Statistical 
Thinking and Data Analysis" given to students enrolled in MSc in Public Health, Epidemiology etc. Here you will find a straightforward explanation of many statistical tools, from hypothesis testing, t-test, missing data and sample size to P-values, distributions (binomial, Poisson, etc.), correlation (e.g. Pearson's and Spearman), and assess key features of datasets and several regression assumptions. 
 
Most chapters have real...
- Package deal
- Summary
- • 278 pages •
A complete explanation of the "Introduction to Statistical 
Thinking and Data Analysis" given to students enrolled in MSc in Public Health, Epidemiology etc. Here you will find a straightforward explanation of many statistical tools, from hypothesis testing, t-test, missing data and sample size to P-values, distributions (binomial, Poisson, etc.), correlation (e.g. Pearson's and Spearman), and assess key features of datasets and several regression assumptions. 
 
Most chapters have real...
Bayesian Modelling for Spatial and Spatio-temporal data
Explanation of all the theoretical, practical, and tutorial classes. The document will provide you with an in-depth understanding of the module content.
- Package deal
- Summary
- • 114 pages •
Explanation of all the theoretical, practical, and tutorial classes. The document will provide you with an in-depth understanding of the module content.
Practical statistic analysis using R (and Rstudio)
Most of the R code I used during the module Introduction to Statistical 
Thinking and Data Analysis, offered to master students in Epidemiology, Public Health, etc. 
 
I aim to explain all assumptions and how to prove/test them in R, create regression models, see the correlation, apply statistical tests like c-statists and t-test and much more (see the document keywords to see the content).
- Package deal
- Summary
- • 71 pages •
Most of the R code I used during the module Introduction to Statistical 
Thinking and Data Analysis, offered to master students in Epidemiology, Public Health, etc. 
 
I aim to explain all assumptions and how to prove/test them in R, create regression models, see the correlation, apply statistical tests like c-statists and t-test and much more (see the document keywords to see the content).