Logistic regression is a statistical method used to predict the outcome of a specific event or situation. It helps us understand the relationship between input factors (also known as independent variables) and the likelihood of a particular outcome occurring. It's called "logistic" because it uses a mathematical function called the logistic function to determine the probability of an event happening.
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- «Machine learning offers new way of designing chiral crystals: Logistic regression analysis model predicts ideal chiral crystal.» (sciencedaily.com)
- Odds ratios (OR) and 95 % confidence limits (95 % CL) were estimated using logistic regression models for survey data. (sciencedaily.com)
- The effects of relationship dissatisfaction, life events, emotional distress, and demographic variables on the risk of relationship dissolution were examined using logistic regression analyses. (link.springer.com)
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