sta2bs biostatistics

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.

SchoolEngineering and Mathematical Sciences

Credit points15

Subject Co-ordinatorHien Nguyen

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 2 - UG

Exchange StudentsNo

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

Prerequisites One of STA2ASM or STM2PM or STA2ABS or STA2AMS

Co-requisitesN/A

Incompatible subjectsSTA3BS

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Learning resources

Biostatistics with R, Springer

Resource TypeBook

Resource RequirementRecommended

AuthorShahbaba, B

Year2012

Edition/VolumeN/A

PublisherAVAILABLE ONLINE IN LA TROBE EBL EBOOK LIBRARY

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Online learning materials (readings and examples)

Resource TypeWeb resource

Resource RequirementPrescribed

AuthorOlenko, A.

Year2018

Edition/VolumeN/A

PublisherLa Trobe university, LMS

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Introduction to Linear Regression Analysis

Resource TypeBook

Resource RequirementRecommended

AuthorMontgomery, D.C, Peck, E.A and Vining, G

YearN/A

Edition/VolumeN/A

PublisherWILEY, 4TH EDITION. AVAILABLE ONLINE IN LA TROBE EBL EBOOK LIBRARY

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/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.

Subject options

Select to view your study options…

Melbourne (Bundoora), 2020, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment informationN/A

Subject Instance Co-ordinatorHien 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