1. Home
  2. Biostatistics [MAT5212]

School: Science

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

    MAT5212

  • Year

    2016

  • Enrolment Period

    1

  • Version

    1

  • Credit Points

    20

  • Full Year Unit

     N

  • Mode of Delivery

    On Campus
    Online

Description

This unit introduces students to the principles of biostatistics. In this unit students gain the skills necessary to perform basic biostatistical analyses making use of a statistical software package and also develop the ability to critically evaluate the use of statistical methods in health-related literature.

Learning Outcomes

On completion of this unit students should be able to:

  1. Conduct basic statistical analyses using SPSS software.
  2. Critically evaluate the use and reporting of statistical analyses in health-related literature.
  3. Perform analyses of variance.
  4. Perform hypothesis tests for means, randomness and correlation using non-parametric methods.
  5. Perform simple and multiple linear regression analysis.
  6. Select an appropriate biostatistical methodology to analyse health science data.
  7. Use logistic regression on data to create a prediction model.

Unit Content

  1. Analysis of Variance.
  2. Chi-squared goodness-of-fit and independence tests.
  3. Logistic regression.
  4. Non-parametric and distribution-free statistics.
  5. Simple and multiple linear regression.
  6. Use of SPSS statistical package.

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
AssignmentData Analysis Assignment30%
ExaminationEnd of semester examination70%
ONLINE
TypeDescriptionValue
AssignmentData Analysis Assignment30%
ExaminationEnd of semester examination70%

Text References

  • Zar, J.H. (2010). Biostatistical analysis (5th ed.). New Jersery: Prentice-Hall.
  • Munro, B. H. (2012). Munro's statistical methods for health care research (6th ed.). Philadelphia: Lippincott, Williams & Wilkins.
  • Motulsky, H. (2010). Intuitive biostatistics: A nonmathematical guide to statistical thinking (3rd ed.). New York: Oxford University Press.
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). London: Sage Publication.
  • Daniel, W. D. (2012). Biostatistics: A foundation for analysis in the health sciences (10th ed.). Hoboken: John Wiley & Sons.
  • Bluman, A. G. (2011). Elementary statistics: A step by step approach (8th ed.). New York: McGraw-Hill Education.

Website References

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.

MAT5212|1|1

School: Science

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

    MAT5212

  • Year

    2016

  • Enrolment Period

    2

  • Version

    1

  • Credit Points

    20

  • Full Year Unit

     N

  • Mode of Delivery

    On Campus
    Online

Description

This unit introduces students to the principles of biostatistics. In this unit students gain the skills necessary to perform basic biostatistical analyses making use of a statistical software package and also develop the ability to critically evaluate the use of statistical methods in health-related literature.

Learning Outcomes

On completion of this unit students should be able to:

  1. Conduct basic statistical analyses using SPSS software.
  2. Critically evaluate the use and reporting of statistical analyses in health-related literature.
  3. Perform analyses of variance.
  4. Perform hypothesis tests for means, randomness and correlation using non-parametric methods.
  5. Perform simple and multiple linear regression analysis.
  6. Select an appropriate biostatistical methodology to analyse health science data.
  7. Use logistic regression on data to create a prediction model.

Unit Content

  1. Analysis of Variance.
  2. Chi-squared goodness-of-fit and independence tests.
  3. Logistic regression.
  4. Non-parametric and distribution-free statistics.
  5. Simple and multiple linear regression.
  6. Use of SPSS statistical package.

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
AssignmentData Analysis Assignment30%
ExaminationEnd of semester examination70%
ONLINE
TypeDescriptionValue
AssignmentData Analysis Assignment30%
ExaminationEnd of semester examination70%

Text References

  • Zar, J.H. (2010). Biostatistical analysis (5th ed.). New Jersery: Prentice-Hall.
  • Munro, B. H. (2012). Munro's statistical methods for health care research (6th ed.). Philadelphia: Lippincott, Williams & Wilkins.
  • Motulsky, H. (2010). Intuitive biostatistics: A nonmathematical guide to statistical thinking (3rd ed.). New York: Oxford University Press.
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). London: Sage Publication.
  • Daniel, W. D. (2012). Biostatistics: A foundation for analysis in the health sciences (10th ed.). Hoboken: John Wiley & Sons.
  • Bluman, A. G. (2011). Elementary statistics: A step by step approach (8th ed.). New York: McGraw-Hill Education.

Website References

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.

MAT5212|1|2