Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision ...

Generally speaking, there are two types of outcomes (i.e. response) in statistical analysis: continuous and categorical responses. Linear Models (LM) are one of the most commonly used statistical ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

Explore essential statistical strategies for accurate protein quantification and differential expression analysis.

In the early 1970s, statisticians had difficulty in analysing data where the random variation of the errors did not come from the bell-shaped normal distribution. Besides normality, these traditional ...

This program is offered by the Department of Management Science and Information Systems (MSIS). It is the continuation of the previous concentration in Management Science and the program of Operations ...