MATH08009 2013 APPLIED STATISTICS IN PUBLIC HEALTH

General Details

Full Title
APPLIED STATISTICS IN PUBLIC HEALTH
Transcript Title
APPLIED STATISTICS
Code
MATH08009
Attendance
N/A %
Subject Area
MATH - Mathematics
Department
ASCI - Applied Sciences
Level
08 - NFQ Level 8
Credit
05 - 05 Credits
Duration
Semester
Fee
Start Term
2013 - Full Academic Year 2013-14
End Term
2019 - Full Academic Year 2019-20
Author(s)
Padraig McGourty
Programme Membership
SG_SHEAL_H08 201600 Bachelor of Science (Honours) in Science in Health Science and Physical Activity
Description

This course introduces the student to advanced statistical techniques for analysing data in the Public Health and Health Promotion fields.  It provides the students with the ability to apply appropriate statistical techniques to data sets gathered during project work and also to comment on and rate techniques used in existing studies.

The teaching methods used will be a combination of lectures, self-study, labs, tutorials, and any combination of discussion, case study, problem-solving exercises and computer-based learning.

Learning Outcomes

On completion of this module the learner will/should be able to;

1.

Use epidemlogical data to evaluate the health status of a population

2.

Demonstrate the application of advanced statistical techniques in the analysis of population health data.

3.

Describe the selection and application of appropriate quantitative analysis in global health literature and reports.

4.

Identify key features of quantitative analysis including descriptive and inferential statistics in a range of study designs.

5.

Evaluate the appropriateness of statistical approaches in a range of public health and health promotion settings.

6.

Perform statistical analyis on health data using the software package EpiInfo.

Module Assessment Strategies

This module will be assessed on both a theoritical and practical level. There will be an assessment run jointly with Epidemiology on the critical apprasial of statistics used in a research study (research paper). For the section for this module the student will be expected to identify the statistical methods used, the key results and the appropriateness of the same statistical methods. 

There will also be two other summative assessments in this module. One will be an assignment on using appropriate statistics to determine the health status of a population. The second will be a assessment on using EpiInfo at the end of the practical section of the module.

The students will also be assessed formatively during class and laboratory practicals with feedback given to enable them to perform effectively in the summative assessments.

Module Dependencies

Prerequisites
None
Co-requisites
None
Incompatibles
None

Indicative Syllabus

Population Health Statistics

Birth Rates/Death Rates

Incidence Rates/Prevalence

Standardization of Death/Birth Rates (both Direct and Indirect)

Odds Ratio

Relative Risk

Hazard Ratios

2 x 2 Tables and Chi-Square tests

Advanced Statistical Analysis

Multiple Regression analysis

Two Way ANOVA

Advanced Charts for Public Health and Epidemiology (Forest Plots etc.)

Time to Event Analysis

Analysis of the use of statistical methods in Health Research

Identification of statistical methods used in Research

Critical Appraisal of Statistical Methods in research

EpiInfo

Use of EpiInfo to record public health data

Statistical Analysis using EpiInfo

Coursework & Assessment Breakdown

Coursework & Continuous Assessment
50 %
End of Semester / Year Formal Exam
50 %

Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Continuous Assessment Assessment on statistics in research run in conjunction with Epidemiology module Continuous Assessment UNKNOWN 20 % Week 9 3,4,5
2 Assignment Use of statistics to determine health of population Continuous Assessment UNKNOWN 15 % Week 5 1,2
3 Practical Evaluation Use of EpiInfo to analyse public health data Continuous Assessment UNKNOWN 15 % Week 13 1,2,6

End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Final Exam End of Module Exam Final Exam UNKNOWN 50 % End of Term 1,2,3,4,5
             
             

Full Time Mode Workload


Type Location Description Hours Frequency Avg Workload
Lecture Lecture Theatre Lecture 2 Weekly 2.00
Laboratory Practical Computer Laboratory Statistics Practical 1 Weekly 1.00
Independent Learning UNKNOWN Self Study 4 Weekly 4.00
Total Full Time Average Weekly Learner Contact Time 3.00 Hours

Module Resources

Non ISBN Literary Resources

Bush, H. (2012), Biostatistics - An Applied Introduction for the Public Health Practitioner, Delmar Cengage Learning

Daniel, W. and Cross, C. (2013), Biostatistics: Basic Concepts and Methodology for the Health Sciences, Wiley

Dancey, C., Reidy, J and Rowe, R. (2012), Statistics for the Health Sciences, A Non Mathematical Introduction, Sage

URL Resources
http://itsligo.learnonline.ie/course/view.php?id=468
Other Resources

Epi Info 7 User Guide - Available from http://wwwn.cdc.gov/epiinfo/7/index.htm

Additional Information

None