Logistic regression, one of the most widely used methods ... and software like SAS or SPSS. Choose one that has an intuitive user interface if you are just starting out. If you are more advanced ...

In this part, we will build a logistic regression model to predict whether a student gets admitted into a university. Suppose that you are the administrator of a university department and you want to ...

This short course focuses on understanding the principles of logistic regression using the notions of odds, odds ratios and transformations. It includes discussion of how good the given model is, and ...

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 ...

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One traditional model (including only the traditional risk factors in model 2) and two new models (including the risk factors in model 2 and either the Phe/Tyr continuous variable or the Phe/Tyr ...

The analyses were carried out primarily using the SPSS version 14.0. Data were weighted to account for the age distribution ... so in order to compare between genders and by locality, sequential ...

A study analyzed the geographic and institutional disparities in clinical trial distribution for candidates targeting the ...