Module Catalogues, Xi'an Jiaotong-Liverpool University   
 
Module Code: DPH112
Module Title: Methods for Analysing Public Health V: Biostatistics II
Module Level: Level 1
Module Credits: 5.00
Academic Year: 2019/20
Semester: SEM2
Originating Department: Health and Environmental Science
Pre-requisites: N/A
   
Aims
The aim of this module is to guide students in the theory and techniques of regression. Students will learn how to specify regression models, use statistical software to fit models, interpret coefficients and investigate model design. Students will learn special techniques in modeling including dummy varianbles and multivariable adjustment.
Learning outcomes 
A Demonstrate the concepts of regression and their applications in public health

B Construct regression models appropriate to the demands of a given public health context.

C Demonstrate accurate and effective interpretation of analysis from regression models

D Demonstrate familiarity with the use of a modern statistical software package for building and testing statistical models.

Method of teaching and learning 
This module will be delivered through lectures and seminars.
Syllabus 

Week 1 Course Overview; Review of Simple Linear Regression

Revision of simple linear regression from Biostatistics I.


Week 2 Simple Linear Regression: Model and Assumptions

Discussion of the specification of the simple linear regression model


Week 3 Simple Linear Regression: Diagnostics and Interpretation

Discussion of model testing and interpretation of coefficients.


Week 4 Multiple Linear Regression: Models and Assumptions

Discussion of the specification of the multiple linear regression model


Week 5 Multiple Linear Regression: Diagnostics and Interpretation

Discussion of model testing and interpretation of coefficients.


Week 6 Logistic Regression: Models and Assumptions

Discussion of the specification of the logistic regression model


Week 7 Logistic Regression: Diagnostics and Interpretation

Discussion of model testing and interpretation of coefficients.


Week 8 Poisson Regression: Models and Assumptions

Discussion of the specification of the Poisson regression model


Week 9 Poisson Regression: Diagnostics and Interpretation

Discussion of model testing and interpretation of coefficients.


Week 10 Survival Analysis: Models and Assumptions

Discussion of the specification of time-to-event models


Week 11 Survival Analysis: Diagnostics and Interpretation

Discussion of model testing and interpretation of coefficients.


Week 12 Instroduction to Generalised Linear Models


Week 13 Revision

Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 26  26        98  150 

Assessment

Sequence Method % of Final Mark
1 Quizzes X2 10.00
2 Assignments (Four Demonstrations And Interpretations Of Regression Analysis: 250 Words Plus Statistical Logs) 40.00
3 Final Report (3000-Word Demonstration Of Regression Analysis) 50.00

Module Catalogue generated from SITS CUT-OFF: 8/22/2019 5:49:05 PM