Advanced Statistical Methods: Categorical & Survival Data (P00927)

? Credit Points : 10 ? SCQF Level : 11 ? Acronym : MED-P-P00927

Understanding and application of, and interpretation of findings from, (i) methods of analysis suited to survival data, and (ii) more advanced statistical methods suited to categorical data.

Entry Requirements

? Pre-requisites : Introduction to Statistical Analysis

Subject Areas

Home subject area

Public Health Research, (Medicine, Schedule R)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

All of the following classes

Type	Day	Start	End	Area
Lecture	Thursday	09:00	10:50	Med+Vet

Summary of Intended Learning Outcomes

On completion of the course students will be able to:
- Undertake logistic regression and related analyses using SPSS;
- Demonstrate an understanding of the interpretation of logistic regression analyses;
- Recognise the need for specialised techniques for handling survival data;
- Demonstrate an understanding of the interpretation of survival analyses;
- Knowledge of and ability to select suitable analytical approaches to statistical modelling, and for exploring interactions and confounding