Biostatistics A

10 Units

The aim is to provide students with an understanding of statistical reasoning and its application to epidemiological studies and the ability to read and critically evaluate the statistical section of journal articles. The course introduces basic statistical concepts of data presentation, probability distributions, confidence intervals hypothesis testing, sample size and power.

Faculty Faculty of Health and Medicine
School School of Medicine and Public Health
Availability Semester 1 - 2014 (Callaghan Campus)
Semester 1 - 2014 (WebLearn GradSchool)
Semester 1 - 2015 (Callaghan Campus)
Semester 1 - 2015 (WebLearn GradSchool)

Objectives of the course are for the student to:

  • Understand the use of and be able to calculate probabilities associated with commonly used distributions, such as Normal, Binomial and t distributions and to be able to determine if data are normally distributed,
  • Understand processes involved in data analysis and carry out exploratory data analysis,
  • Be familiar with the use and assumptions of confidence intervals and be able to calculate and interpret confidence intervals for means and proportions
  • Understand the concept of hypothesis testing and be able to undertake hypothesis tests relating to means and proportions,
  • Discuss the difference between statistical and medical significance,
  • Understand the concept of study power and the importance of a Type II error,
  • Understand the importance of calculating sample size before commencing a study and be able to calculate sample size for common situations relating to means and proportions,
  • Interpret results of commonly used statistical methods as they are presented in published literature.

-Introduction * STATA Resource Kit * Exploratory data analysis; * Sampling distributions and confidence * Hypothesis testing, * Sample size * Statistical Methods The course includes practical exercises to illustrate the different concepts outlined, self assessment exercises, progress assignments with model answers and practical computing exercises requiring interpretation and presentation of results.

Replacing Course(s) N/A
Transition N/A
Industrial Experience 0
Assumed Knowledge Basic mathematical concepts; no other assumed knowledge.
Modes of Delivery Distance Learning : IT Based
Distance Learning : Paper Based
Internal Mode
Teaching Methods Email Discussion Group
Self Directed Learning
Assessment Items
  • Examination: Take Home -
  • Quiz - On-line -
Contact Hours
  • Email Discussion Group: for 2 hour(s) per Week for Full Term
  • Tutorial: for 2 hour(s) per Week for Full Term
Compulsory Components None listed
Course Materials None listed
Timetable 2015 Course Timetables for BIOS6910

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