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Logistic regression is a statistical method used to model and predict the probability of a binary outcome (e.g., success/failure, yes/no) based on one or more ...

The present study aimed to predict surgical PCI preoperatively in PMP patients by multiple linear regression (MLR) analysis. Predictor variables consisted ... to obtain in clinical work and can be ...

Positing that an individual’s earnings depend on his or her level of education is an example of a simple model with one explanatory variable. A corresponding regression equation, assumed to be linear, ...

Data Science is one of the most demanding fields as companies and industries are relying more on data to make business ...

The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. This will give the participants a better basis ...