Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

Covers discrete and continuous probability laws, random variables; expectations; laws of large numbers and central limit theorem; estimation, testing hypothesis, analysis of variance, regression ...

Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...

Analysis of variance (ANOVA) is a statistical method for determining whether differences in group means are statistically significant or likely due to random variation. It helps identify the ...

Methods to help understand how people differ in their response to treatment: People may respond differently to treatments - for some they may be effective, but for others less so. This might be due to ...

Our lab has developed many data analysis workflows adapting and integrating sophisticated statistical methods to evaluate complex molecular datasets that we obtain with MS technologies. We are ...

This course is compulsory on the MSc in Quantitative Methods for Risk Management ... MSc in Financial Mathematics, MSc in Statistics (Financial Statistics) and MSc in Statistics (Financial Statistics) ...

The course is designed for students without a strong background in Mathematics, e.g. without A level Mathematics, and is suitable for students who wish to learn basic statistical methods for analysing ...

This course introduces statistical methods and techniques for multivariate data analysis. The course studies basic ideas underlying multivariate statistical methods and covers various applications of ...

Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses.