Statistics Methods Sessions (3 workshops)

Presenter:  Dr Neil Diamond (Director of Statistical Consulting, Monash Clayton)

Session 3: Regression Analysis and Extensions
Regression is probably the single most used statistical technique and one of the most useful. Simple and multiple linear regression will be discussed and methods for diagnosing problems with the fitted models will be emphasised. Criteria for selecting the best model will be explored. Non-linear regression will also be covered.
Date: Friday 7 August (note new date)
Time: 12-1pm
Venue: Lecture Theatre 5 (LT5), 1st Floor, Sissons Building, Parkville Campus
Book: darlene.mcgown@pharm.monash.edu.au

Session 4: Designing Experiments and Power Analysis  
Plans for randomised blocks, and for the important topics of factorial and fractional factorial designs will be outlined. First and second order response surface designs will be discussed, and canonical analysis for second-order models will be demonstrated. Power analysis, used to determine an appropriate sample size, will be covered in detail.
Date: Friday 14 August (note new date)  
Time: 12-1pm
Venue: Lecture Theatre 5 (LT5), 1st Floor, Sissons Building, Parkville Campus
Book:  darlene.mcgown@pharm.monash.edu.au

Session 5: An overview of more advanced statistical methods 
An overview of more advanced statistical methods.Depending on the interests and background of the group, it is intended to give a brief introduction to some more advanced methods such as Generalised Linear Models, Hierarchical models, and Survival Analysis.
Date: Friday 21 August (note new date)
Time: 12-1pm
Venue: Lecture Theatre 3 (LT3), 3rd Floor, Sissons Building, Parkville Campus
Book: darlene.mcgown@pharm.monash.edu.au

Individual tutoring sessions in statistics and statistical programming