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Null hypothesis testing (often described just as '''hypothesis testing''' is very commonly used in epidemiological investigations, and may be used in both analytic studies (for example, assessing whether disease experience differs between different exposure groups), and in descriptive studies (for example, if assessing whether disease experience differs from some suspected value). However, despite its widespread use, the results of hypothesis tests are often misinterpreted.
==Hypothesis testing and study power==
==Hypothesis testing and study power==
===Type II error===
===Type II error===
This type of error refers to the situation where it is concluded that no difference between two groups exists, when in fact it does. The probability of a type II error is often denoted with the symbol β. As the 'power' of a study is defined as the probability of detecting the difference when it does exist, it can be calculated as (1-β).
This type of error refers to the situation where it is concluded that no difference between two groups exists, when in fact it does. The probability of a type II error is often denoted with the symbol β. As the 'power' of a study is defined as the probability of detecting the difference when it does exist, it can be calculated as (1-β).
[[Category:Veterinary Epidemiology - Statistical Methods|E]]