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Displaying from Monday, October 01, 2012
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November 2012
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Tuesday 27 |
This course will take you through the basics you need to do statistical analyses in R, a powerful freeware statistical package.
The course will cover basic statistics such as t-tests, regression and ANOVA as well as producing high quality graphics.
The course is hosted by the (...)
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Thursday 29 |
The course is designed for people with knowledge of basic statistics who want to learn more about designing and analysing experiments.
It will cover material ranging from a review of simple one-way ANOVA, to more complex designs and analyses including crossed and nested factors with (...)
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December 2012
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Tuesday 04 |
9:00 - COURSE - Introduction to Structural Equation Modelling : A Short Course using AMOS and Mplus
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SEM is used widely by researchers to test complex relationships among observed (measured) and latent (unobserved) variables.
This course will introduce you to SEM and also covers issues relating to model specification, identification and estimation, assessing model fit (goodness-of-fit criteria) (...)
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Monday 10 |
The course is designed as a comprehensive coverage of applied SEM techniques using the Mplus statistical software package. Mplus offers a general modelling framework that allows both the modelling of cross-sectional and longitudinal data using observed variables that are a combination of continuous (...)
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February 2013
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Monday 18 |
The aim of this course is to introduce you to basic statistics. It will cover descriptive statistics (means and standard deviations); data exploration; basic categorical data analysis; simple linear regression and basic analysis of variance (ANOVA).
Subsidised rates are available for (...)
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April 2013
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Wednesday 03 |
9:00 - CANCELLED - COURSE - Introduction to statistics : A short course using Microsoft Excel
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Unfortunately this event has been cancelled.
Due to unforeseen circumstances the presenter is no longer available to deliver this course.
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This course aims to provide you with an introduction to the facilities available in MS Excel from a (...)
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May 2013
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Monday 27 |
Statistical meta-analysis deals with a variety of sophisticated statistical methods to efficiently combine the results of several studies that have a common target.
In this course, we will describe the basic concepts of effect size for continuous measurements as well as qualitative attributes (...)
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June 2013
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Tuesday 25 |
The aim of this course is to introduce you to basic statistics. It will cover descriptive statistics (means and standard deviations); data exploration; basic categorical data analysis; simple linear regression and basic analysis of variance (ANOVA).
The course is subsidised for UWA (...)
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July 2013
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Monday 01 |
9:50 - COURSE - Epidemiology and Control of Communicable Diseases : Winter School - 5 day intensive unit
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Our Epidemiology and Control of Communicable Diseases unit is designed to allow students to understand the principles of infectious disease emergence and transmission using current cases and examples.
The unit reviews the traditional tools of outbreak and epidemic investigation, combined (...)
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Tuesday 02 |
The course is designed for those who have no experience with R, but have a basic understanding of statistics. Those without this experience are encouraged to attend the Introductory Statistics course first.
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Thursday 04 |
This course covers material ranging from Kaplan Meier curves to the analysis of censored data and Cox's proportional hazards models.
Participants must bring their own laptop with R installed.
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Tuesday 16 |
9:00 - COURSE - ANOVA, Linear Regression and Logistic Regression : A Short Course using SPSS
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This course covers techniques that can be used to analyse data with continuous and categorical variables. The course will begin with simple linear regression and then proceed with approaches that can be used with more than two variables such as multiple regression. ANOVA with interactions and (...)
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Friday 19 |
8:00 - CONFERENCE - PEG Scientific Meeting - Merging Qualitative and Quantitative Research
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October 2013
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Tuesday 01 |
This course is aimed at anyone wishing to improve their survey questionnaires. This course is useful for both people new to questionnaire design and those who have experience and would like to extend their knowledge. It will be a benefit not only for people who anticipate designing a questionnaire (...)
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Friday 25 |
The Nurses’ Health Studies are among the largest and longest running investigations of factors that influence women’s health. Started in 1976 and expanded in 1989, the information provided by the 238,000 dedicated nurse-participants has led to many new insights on health and disease. While the (...)
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November 2013
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Tuesday 12 |
R is a free and extremely powerful language and software environment for statistical computing, data analysis, and graphics. The course is designed for those who have no experience with R, but have a basic understanding of statistics. The course will include:
Introduction to R: How to install R on (...)
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Wednesday 13 |
Professor Tilling main areas of expertise are in methods for
analysing exposures and outcomes across the life-course, and in methods for dealing with missing data. She has a mathematical background, an MSc in Applied Statistics and a PhD in Epidemiology, together with more than 15 years’ (...)
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Thursday 14 |
The course will cover material ranging from a review of simple one-way ANOVA, to more complex designs and analyses including crossed and nested factors with fixed and random effects.The emphasis throughout will be placed on applications rather than theory. The statistical package R and R Commander (...)
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Monday 25 |
Clinical Epidemiology focuses on the application of epidemiologic research principles to questions relating to clinical diagnosis, prognosis and the efficacy of therapeutic interventions.
Unit outline
This five-day unit considers:
- design, conduct and analysis (...)
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December 2013
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Monday 09 |
8:30 - EVENT - Introductory Analysis of Linked Health Data : Summer School - 5 day intensive unit
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This is an intensive five-day unit on the theory and practice of analysis of large sets of linked administrative health data at an introductory to intermediate level.
Rapid growth in data linkage projects has led to a shortfall in analyst skills. Some researchers understand (...)
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