POPLHLTH 706 : Statistics in Health Science

Medical and Health Sciences

2020 Semester One (1203) (15 POINTS)

Course Prescription

Provides an overview of statistics and statistical methods for health scientists. Covers a range of methods and tests, including regression.

Course Overview

The course addresses practical and theoretical aspects of statistics in health sciences. Students will learn how to interpret medical and epidemiological data and understand the statistical ideas that are commonly reported in medical research reports. Practical skills in the use of a statistical analysis package (Stata) will be developed. 

Course Requirements

No pre-requisites or restrictions

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 3: Solution Seeking
Capability 4: Communication and Engagement
Graduate Profile: Master of Public Health

Learning Outcomes

By the end of this course, students will be able to:
  1. Develop practical and theoretical aspects of statistics in health sciences. (Capability 1.3, 2.1 and 3.1)
  2. Understand how to interpret medical and epidemiological data and the statistical ideas that are commonly reported in medical research (Capability 1.3, 3.1 and 3.2)
  3. Develop the use of a statistical analysis package (Stata) . (Capability 1.3 and 4.1)

Assessments

Assessment Type Percentage Classification
Final Exam 50% Individual Examination
Coursework data analysis exercises 12.5% Individual Coursework
Coursework data analysis exercises 12.5% Individual Coursework
Coursework data analysis exercises 12.5% Individual Coursework
Coursework data analysis exercises 12.5% Individual Coursework
Assessment Type Learning Outcome Addressed
1 2 3
Final Exam
Coursework data analysis exercises
Coursework data analysis exercises
Coursework data analysis exercises
Coursework data analysis exercises

Learning Resources

Statistics for Health Sciences Lecture Notes, by Roger Marshall, is the essential text.  

Course Contacts

Associate Professor Roger Marshall
Section of Epidemiology and Biostatistics
School of Population Health
Tel (09) 923 6363 rj.marshall@auckland.ac.nz

Workload Expectations

This course is a standard 15 point course and students are expected to spend 10 hours per week involved in each 15 point course that they are enrolled in.

For this course, you can expect  24 hours of lectures, 8 hours tutorial, 10 hours of reading and thinking about the content and 10 hours of work on assignments and/or test preparation.

Digital Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

Stata software will be used in the course

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website at http://disability.auckland.ac.nz

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page: https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Student Feedback

At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.

Your feedback helps teachers to improve the course and its delivery for future students.

Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter (https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html).

Disclaimer

Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.

Published on 14/12/2019 06:22 a.m.