# Statistical Methods in Health

Queensland University of Technology

## Course Description

• ### Course Name

Statistical Methods in Health

• ### Host University

Queensland University of Technology

• ### Location

Brisbane, Australia

• ### Area of Study

Health Administration, Health Science, Public Health, Statistics

• ### Language Level

Taught In English

• ### Course Level Recommendations

Upper

ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

### Hours & Credits

• Credit Points

12
• Recommended U.S. Semester Credits
3 - 4
• Recommended U.S. Quarter Units
4 - 6
• ### Overview

This unit introduces the foundation concepts required to competently apply and interpret common statistical methods for the analysis of health data. Rather than superficially covering a wide variety of statistical tests, this unit will focus on achieving competency of the most common fundamental tests that analyse non-repeated data. Statistical analysis is inextricably linked to research design, which drives the choice of descriptive summary of data, choice of statistical test, and interpretation of the statistical analysis. You will be provided with substantial practical experience in the application and interpretation of the most common statistical methods.
Learning Outcomes
1. Explain how statistical choices in analysis link directly to the study design that generated the data, and the type of data,
2. Explain the rationale behind, and key points of, hypothesis testing,
3. Discriminate the most appropriate descriptive and inferential statistics to use for the analysis of health data,
4. Analyse health data using a statistical software package, and interpret the results.
Content
This unit introduces the foundation concepts required to be able to competently apply and interpret common statistical methods for the analysis of health data. Both descriptive and inferential statistics will be considered. Rather than superficially covering a wide variety of statistical tests, this unit will focus on achieving competency of the most common fundamental tests that analyse non-repeated data. The aim is to ensure you understand that statistical analysis is inextricably linked to research design, which drives the choice of descriptive summary of data, choice of statistical test, and interpretation of the statistical analysis. You will be provided with substantial practical experience in the application and interpretation of the most common statistical methods.

### Course Disclaimer

Courses and course hours of instruction are subject to change.

Eligibility for courses may be subject to a placement exam and/or pre-requisites.

Some courses may require additional fees.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.