18 Feb 2019 09:00am to 22 Feb 2019 05:00pm

ViCBiostat Summer School 2019

Workshop
Event Location
Ella Latham Theatre, Royal Children's Hospital
50 Flemington Road
Parkville VIC 3052
Australia
Speakers
Katherine (Kate) is a biostatistician at the Murdoch Childrens Research Institute. She also holds an honorary appointment at the University of Melbourne and is the Associate Director (biostatistics) of the...
Julie is Head of the Biostatistics Unit at the Melbourne School of Population and Global Health, The University of Melbourne and Director of the Melbourne Clinical and Translational Sciences platform...
Margarita completed a PhD in Biostatistics at Université Paris-Sud in 2014. She is currently an ARC DECRA Fellow and conducts methodological research in the areas of causal inference, missing data...
Rory is a biostatistician at Monash University and contributes to a wide range of epidemiological and clinical research studies. He obtained his PhD in statistics from Southampton University (UK), subsequently...
Cattram completed a PhD in biostatistics at the University of Melbourne in 2014. Her statistical areas of interest include the design and analysis of clinical trials and methods for missing...
Dr Damjan Vukcevic
Damjan is a Senior Lecturer in Statistical Genomics at the University of Melbourne, an Honorary Fellow at the Murdoch Children’s Research Institute, and the President of the Victorian Branch of...

STATISTICAL METHODS IN MEDICINE AND PUBLIC HEALTH

The ViCBiostat Summer School is back in 2019, this time in partnership with the Australian Clinical Trials Alliance (ACTA).  Each program is designed to provide an intensive introduction to a range of intermediate to advanced statistical methods that are important in modern health research. The courses will include extensive discussion of practical examples and hands-on training in relevant statistical software using the Stata and R packages. 

Who should attend?

Prerequisite knowledge for these workshops is a sound understanding of epidemiological and statistical concepts and knowledge of either Stata or R.

 

18 Feb - An Introduction to multiple imputation for missing data 

Course outline

19 Feb - Advanced multiple imputation: Longitudinal data and sensitivity analyses

Course outline

20 Feb - Risk Prediction Modelling 

Course outline

21 & 22 Feb in partnership with ACTA - Adaptive designs and multiple testing procedures for clinical trials 

PRESENTERS: Prof James Wason, Dr David Robertson, Dr Adrian Mander, Dr Michael Grayling.
Course outline


SOFTWARE REQUIREMENTS

R or Stata V14 or above required for all sessions.  Participants are expected to have copies of required software applicable for each day pre-installed on laptops and ready to use.

COURSE FEES AND REGISTRATION

Click here to see course fees.