Logistic regression
Logistic Regression is a statistical method used in the field of medical statistics and biostatistics to predict the probability of a certain event occurring. It is a type of regression analysis where the dependent variable is categorical.
Pronunciation
Logistic Regression: /ləˈdʒɪstɪk rɪˈɡrɛʃən/
Etymology
The term "logistic regression" is derived from the statistics field. The "logistic" part refers to the logistic function, which is used in this method to model the data. The "regression" part refers to the statistical process for estimating the relationships among variables.
Definition
Logistic regression is a predictive analysis technique. It is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval, or ratio-level independent variables.
Application
In the medical field, logistic regression might be used to predict whether a patient has a given disease (yes/no) based on observed characteristics of the patient such as age, sex, body mass index, results of various blood tests, etc.
Related Terms
- Odds ratio: The odds ratio is a statistic that quantifies the strength of the association between two events.
- Maximum likelihood estimation: A method of estimating the parameters of a statistical model.
- Multivariate analysis: A subset of statistical methods that are used to analyze data that has more than one variable.
- Confounding variable: A variable that influences both the dependent variable and independent variable, causing a spurious association.
See Also
External links
- Medical encyclopedia article on Logistic regression
- Wikipedia's article - Logistic regression
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