BIOSTATISTICS

STA2BS

2020

Credit points: 15

Subject outline

Students will learn to design and analyse experiments in the life sciences and agriculture. The topics covered in this subject include a brief review of non-parametric methods; randomisation, blocking and randomised block designs; one-way and two-way layouts; multiple comparison procedures; fixed and random effects; mixed models; multiple linear regression; analysis of covariance; factorial designs; fractional factorial designs; and an introduction to cluster analysis. This subject makes use of the freely available software package R.

School: Engineering and Mathematical Sciences (Pre 2022)

Credit points: 15

Subject Co-ordinator: Hien Nguyen

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 2 - UG

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: One of STA2ASM or STM2PM or STA2ABS or STA2AMS

Co-requisites: N/A

Incompatible subjects: STA3BS

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

Biostatistics with R, Springer

Resource Type: Book

Resource Requirement: Recommended

Author: Shahbaba, B

Year: 2012

Edition/Volume: N/A

Publisher: AVAILABLE ONLINE IN LA TROBE EBL EBOOK LIBRARY

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Online learning materials (readings and examples)

Resource Type: Web resource

Resource Requirement: Prescribed

Author: Olenko, A.

Year: 2018

Edition/Volume: N/A

Publisher: La Trobe university, LMS

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Introduction to Linear Regression Analysis

Resource Type: Book

Resource Requirement: Recommended

Author: Montgomery, D.C, Peck, E.A and Vining, G

Year: N/A

Edition/Volume: N/A

Publisher: WILEY, 4TH EDITION. AVAILABLE ONLINE IN LA TROBE EBL EBOOK LIBRARY

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Present clear, well structured and rigorous proofs of important fundamental linear model results. This includes appropriate use of statistical and mathematical vocabulary and notation.

02. Formulate appropriate hypotheses and experimental designs.

03. Utilise randomization and blocking appropriately in the design of statistical experiments.

04. Construct statistical experiments using factorial and fractional factorial designs with an emphasis on the construction of simple estimators of effects associated with two-level factors.

Melbourne (Bundoora), 2020, Semester 2, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Hien Nguyen

Class requirements

LectureWeek: 31 - 43
One 2.00 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

PracticalWeek: 31 - 43
One 2.00 hours practical per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
10 Assignments (150 word equiv each)	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3, SILO4
3-hour short answer Final Examination (3000 words equivalent)	N/A	N/A	N/A	No	70	SILO1, SILO2, SILO3, SILO4