Faculty of Health, Engineering and Science

School: Engineering

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Biostatistics
  • Unit Code

    MAT3488
  • Year

    2015
  • Enrolment Period

    1
  • Version

    1
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus

Description

This unit is designed to introduce students to the principles of biostatistics. This unit has particular relevance to students considering working in the Health Sciences. It will also provide an introduction to biostatistical analyses. The statistical software SPSS will be used where appropriate.

Prerequisite Rule

Students must pass 1 unit from MAT1114

Equivalent Rule

Unit was previously coded MAT3315

Learning Outcomes

On completion of this unit students should be able to:

  1. Carry out Analysis of Variance.
  2. Carry out hypothesis tests for means, randomness and correlation using non-parametric methods.
  3. Carry out simple and multiple linear regression analysis.
  4. Conduct basic biostatistical analyses using SPSS software.
  5. Select an appropriate biostatistical methodology to analyse health science data.
  6. Use logistic regression on data to create a prediction model.

Unit Content

  1. Analysis of Variance.
  2. Logistic regression.
  3. Non-parametric and distribution-free statistics.
  4. Simple and multiple linear regression.
  5. Use of SPSS statistical package.
  6. Vital statistics: death rates and ratios, measures of fertility and morbidity.

Additional Learning Experience Information

Lectures, tutorials and workshops.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ON CAMPUS
TypeDescriptionValue
AssignmentAssignment 115%
AssignmentAssignment 225%
TestTest20%
ExaminationEnd of semester examination40%

Text References

  • ^ Daniel, W. D. (2008). Biostatistics: A foundation for analysis in the health sciences (9th ed.). Hoboken: John Wiley & Sons.
  • Bluman, A. G. (2004). Elementary statistics: A step by step approach (5th ed.). New York: McGraw-Hill Education.
  • Altman, D. G. (2006). Practical statistics for medical research (2nd ed.). London: Chapman & Hall.
  • Munro, B. H. (2005). Statistical methods for health care research (5th ed.). Philladelphia: Lippincott, Williams & Wilkins.
  • Field, A. (2005). Discovering statistics using SPSS (2nd ed.). London: Sage Publication.
  • Gordis, L. (2004). Epidemiology (3rd ed.). Philladelphia: W. B. Saunders Company.

Website References

^ Mandatory reference


Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

MAT3488|1|1

Faculty of Health, Engineering and Science

School: Engineering

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Biostatistics
  • Unit Code

    MAT3488
  • Year

    2015
  • Enrolment Period

    2
  • Version

    1
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus

Description

This unit is designed to introduce students to the principles of biostatistics. This unit has particular relevance to students considering working in the Health Sciences. It will also provide an introduction to biostatistical analyses. The statistical software SPSS will be used where appropriate.

Prerequisite Rule

Students must pass 1 unit from MAT1114

Equivalent Rule

Unit was previously coded MAT3315

Learning Outcomes

On completion of this unit students should be able to:

  1. Carry out Analysis of Variance.
  2. Carry out hypothesis tests for means, randomness and correlation using non-parametric methods.
  3. Carry out simple and multiple linear regression analysis.
  4. Conduct basic biostatistical analyses using SPSS software.
  5. Select an appropriate biostatistical methodology to analyse health science data.
  6. Use logistic regression on data to create a prediction model.

Unit Content

  1. Analysis of Variance.
  2. Logistic regression.
  3. Non-parametric and distribution-free statistics.
  4. Simple and multiple linear regression.
  5. Use of SPSS statistical package.
  6. Vital statistics: death rates and ratios, measures of fertility and morbidity.

Additional Learning Experience Information

Lectures, tutorials and workshops.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ON CAMPUS
TypeDescriptionValue
AssignmentAssignment 115%
AssignmentAssignment 225%
TestTest20%
ExaminationEnd of semester examination40%

Text References

  • ^ Daniel, W. D. (2008). Biostatistics: A foundation for analysis in the health sciences (9th ed.). Hoboken: John Wiley & Sons.
  • Bluman, A. G. (2004). Elementary statistics: A step by step approach (5th ed.). New York: McGraw-Hill Education.
  • Altman, D. G. (2006). Practical statistics for medical research (2nd ed.). London: Chapman & Hall.
  • Munro, B. H. (2005). Statistical methods for health care research (5th ed.). Philladelphia: Lippincott, Williams & Wilkins.
  • Field, A. (2005). Discovering statistics using SPSS (2nd ed.). London: Sage Publication.
  • Gordis, L. (2004). Epidemiology (3rd ed.). Philladelphia: W. B. Saunders Company.

Website References

^ Mandatory reference


Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

MAT3488|1|2