# STAT115 Introduction to Biostatistics

A paper for students in health-related subjects, in particular nutrition, food science, epidemiology, exercise science, psychology, and the health sciences. Topics covered include the nature of random variation, the concepts of bias and confounding, study design, data description including risks and odds, binomial and normal distributions, estimation, hypothesis testing, regression, the control of confounders, critical appraisal, and the analysis of variance.

Biostatistics (statistics applied in the health sciences) is a vital tool in the mission to improve health and well-being for all people. STAT 115 provides an introduction to the core principles and methods of biostatistics. In this paper you will gain an understanding of how statistics is used to answer research questions: how to look for patterns in data and how to test hypotheses about disease causation and prevention and improvement in well-being. The program 'R' will be used throughout the paper for data summary and statistical analysis. The understanding and skills gained in STAT 115 can be a starting point for a career in biostatistics or can be used to assist understanding of research in other disciplines including epidemiology, physiology, anatomy, human nutrition, sports science and psychology.

Paper title Introduction to Biostatistics STAT115 Statistics 0.1500 18 points Second Semester \$886.35 \$3,766.35
Restriction
STAT 110, (BSNS 102 or BSNS 112), QUAN 101
Schedule C
Arts and Music, Science
Eligibility
Suitable for students of all disciplines with an interest in the quantitative analysis of data, especially in the health sciences

There are no formal mathematical or statistical prerequisites for this paper, but students who have not done mathematics or statistics at NCEA Level 3 are encouraged to make use of the online and tutorial resources available as part of the paper.
Contact
stat115@maths.otago.ac.nz
Teaching staff
Katrina Sharples and Megan Drysdale
Paper Structure
Main topics:
• Basic measures for describing data
• Introduction to statistical program 'R'
• Introduction to probability
• Binomial and normal distributions
• Estimation and confidence intervals
• Hypothesis testing
• Categorical data analysis
• Simple linear regression
• Regression procedures and the control of confounding
• The analysis of variation (ANOVA)
• Statistical issues in study design and critical appraisal of research
Teaching Arrangements
Four lectures per week.

Cafeteria-style (voluntary attendance) tutorials each week for assistance with course material and assessments.
Textbooks
Full lecture materials are available electronically.

A hard-copy book of lecture notes is also available for purchase through the University Print Shop located in the Central Library.
Communication, Critical thinking.
Learning Outcomes
Students who successfully complete the paper will demonstrate awareness of and proficiency in the basics of objective statistical data analysis.

## Timetable

### Second Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Other

#### Lecture

Stream Days Times Weeks
Attend one stream from
L1 Monday 10:00-10:50 28-34, 36-41
L2 Monday 08:00-08:50 28-34, 36-41
AND one stream from
M1 Tuesday 10:00-10:50 28-34, 36-41
M2 Tuesday 08:00-08:50 28-34, 36-41
AND one stream from
N1 Wednesday 10:00-10:50 28-34, 36-41
N2 Wednesday 08:00-08:50 28-34, 36-41
AND one stream from
O1 Thursday 10:00-10:50 28-34, 36-41
O2 Thursday 08:00-08:50 28-34, 36-41

A paper for students in health-related subjects, in particular nutrition, food science, epidemiology, exercise science, psychology, and the health sciences. Topics covered include the nature of random variation, the concepts of bias and confounding, study design, data description including risks and odds, binomial and normal distributions, estimation, hypothesis testing, regression, the control of confounders, critical appraisal, and the analysis of variance.

Biostatistics (statistics applied in the health sciences) is a vital tool in the mission to improve health and well-being for all people. STAT 115 provides an introduction to the core principles and methods of biostatistics. In this paper you will gain an understanding of how statistics is used to answer research questions: how to look for patterns in data and how to test hypotheses about disease causation and prevention and improvement in well-being. The program 'R' will be used throughout the paper for data summary and statistical analysis. The understanding and skills gained in STAT 115 can be a starting point for a career in biostatistics or can be used to assist understanding of research in other disciplines including epidemiology, physiology, anatomy, human nutrition, sports science and psychology.

Paper title Introduction to Biostatistics STAT115 Statistics 0.1500 18 points Second Semester \$904.05 \$3,954.75
Restriction
STAT 110, (BSNS 102 or BSNS 112), QUAN 101
Schedule C
Arts and Music, Science
Eligibility
Suitable for students of all disciplines with an interest in the quantitative analysis of data, especially in the health sciences

There are no formal mathematical or statistical prerequisites for this paper, but students who have not done mathematics or statistics at NCEA Level 3 are encouraged to make use of the online and tutorial resources available as part of the paper.
Contact
stat115@maths.otago.ac.nz
Teaching staff
Paper Structure
Main topics:
• Basic measures for describing data
• Introduction to statistical program 'R'
• Introduction to probability
• Binomial and normal distributions
• Estimation and confidence intervals
• Hypothesis testing
• Categorical data analysis
• Simple linear regression
• Regression procedures and the control of confounding
• The analysis of variation (ANOVA)
• Statistical issues in study design and critical appraisal of research
Teaching Arrangements
Four lectures per week.

Cafeteria-style (voluntary attendance) tutorials each week for assistance with course material and assessments.
Textbooks

There is no set text. Copies of all lecture slides area available at the start of the course either in electronic or paper form

Interdisciplinary perspective, Lifelong learning, Scholarship, Critical thinking, Information literacy.
Learning Outcomes
Students who successfully complete the paper will demonstrate awareness of and proficiency in the basics of objective statistical data analysis.

## Timetable

### Second Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Other

#### Lecture

Stream Days Times Weeks
Attend one stream from
L1 Monday 10:00-10:50 28-34, 36-41
L2 Monday 08:00-08:50 28-34, 36-41
AND one stream from
M1 Tuesday 10:00-10:50 28-34, 36-41
M2 Tuesday 08:00-08:50 28-34, 36-41
AND one stream from
N1 Wednesday 10:00-10:50 28-34, 36-41
N2 Wednesday 08:00-08:50 28-34, 36-41
AND one stream from
O1 Thursday 10:00-10:50 28-34, 36-41
O2 Thursday 08:00-08:50 28-34, 36-41