The Susceptible-Exposed-Infected-Recovered (SEIR) model is a natural extension of the SIR Model, accounting for a fourth category of disease state, Exposure. For this ThuRsday Tutorial, we’ll cover how to not
Category: Tutorial
Cohort studies are a common study method throughout public health and intervention methods. By following groups of people who are alike in many ways but differ by a certain characteristic,
The Susceptible-Infected-Recovered (SIR) model is a fundamental concept in epidemiology, offering insights into how diseases spread and recede in populations over time through a relatively simply set of functions. For
The Susceptible-Infected-Recovered (SIR) model is a fundamental concept in epidemiology, offering insights into how diseases spread and recede in populations over time through a relatively simply set of functions. For
Introduction to Relative Risk Relative Risk (RR) is one of the most fundamental measures in public health, offering insights into the strength of association between an exposure (like smoking) and
T-tests are a fundamental statistical tool used in various fields, including public health, to compare the means of two groups. Essentially, a T-test helps determine whether the observed differences in
T-tests are a fundamental statistical tool used in various fields, including public health, to compare the means of two groups. Essentially, a T-test helps determine whether the observed differences in
Introduction Odds Ratio (OR) calculations are a cornerstone in public health research, providing insights into the strength of association between an exposure and an outcome. In this tutorial, we’ll explore
Introduction Odds Ratio (OR) calculations are a cornerstone in public health research, providing insights into the strength of association between an exposure and an outcome. In this ThuRsday Tutorial, we’ll
Correlation is a statistical measure that describes the extent to which two variables change together. In data analysis tasks, understanding correlation can often help in identifying relationships between variables.