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
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 healthB Construct regression models appropriate to the demands of a given public health context.C Demonstrate accurate and effective interpretation of analysis from regression modelsD 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 RegressionRevision of simple linear regression from Biostatistics I.Week 2 Simple Linear Regression: Model and AssumptionsDiscussion of the specification of the simple linear regression modelWeek 3 Simple Linear Regression: Diagnostics and InterpretationDiscussion of model testing and interpretation of coefficients.Week 4 Multiple Linear Regression: Models and AssumptionsDiscussion of the specification of the multiple linear regression modelWeek 5 Multiple Linear Regression: Diagnostics and InterpretationDiscussion of model testing and interpretation of coefficients.Week 6 Logistic Regression: Models and AssumptionsDiscussion of the specification of the logistic regression modelWeek 7 Logistic Regression: Diagnostics and InterpretationDiscussion of model testing and interpretation of coefficients.Week 8 Poisson Regression: Models and AssumptionsDiscussion of the specification of the Poisson regression modelWeek 9 Poisson Regression: Diagnostics and InterpretationDiscussion of model testing and interpretation of coefficients.Week 10 Survival Analysis: Models and AssumptionsDiscussion of the specification of time-to-event modelsWeek 11 Survival Analysis: Diagnostics and InterpretationDiscussion of model testing and interpretation of coefficients.Week 12 Instroduction to Generalised Linear ModelsWeek 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: 12/8/2019 3:10:45 AM