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Programme
Jessie edited this page Mar 7, 2018
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See details and registration here. This workshop is open to all ACEMS industry collaborators.
| Start | End | Activity |
|---|---|---|
| 8:30 | 8:45 | Introduction (Kerrie Mengersen) |
| 8:45 | 9:45 | SESSION 1: Overview of Modern Statistical Methods in Sport Science Research (David Pyne- University of Canberra/AIS, Kerrie Mengersen- ACEMS/QUT) |
| 9:45 | 10:45 | Quick Overview of Traditional Methods - linear regression & hypothesis testing (Marijke Welvaert (UCRISE/AIS)) |
| Practice in R | ||
| 10:45 | 11:00 | Morning Tea |
| 11:00 | 12:00 | SESSION 2: Clustering and Tree Based Methods (Kerrie Mengersen- ACEMS/QUT) Case Studies |
| Practice in R | ||
| 12:00 | 1:00 | Lunch |
| 1:00 | 2:30 | SESSION 3: Hierarchical Models (Chris Drovandi - QUT/ACEMS) Case Studies |
| Practice in R | ||
| 2:30 | 3:00 | Afternoon Tea |
| 3:00 | 4:30 | SESSION 4: Hidden Markov Models (Paul Wu- QUT/ACEMS) Case Studies |
| Practice in R | ||
| 4:30 | 5:00 | Wrap-up |
AIM: To share cutting edge methods in resilience research and explore research challenges and opportunities.
| Start | End | Activity |
|---|---|---|
| 8:45 | Registration | |
| 9:00 | 9:30 | Overview of Objective for the Day - Performance, Resilience & Funding (Luke MacDonald (QAS), David Pyne (AIS) & Paul Wu (ACEMS) |
| 9:30 | 10:30 | SESSION 1: methods for n = 1 |
| Pres 1: N-of-1 clinical trials: Are they applicable in sports research (James McGree) | ||
| Pres 2: Title TBC (Lachlan Mitchell) | ||
| Group Discussion: Opportunities & challenges | ||
| 10:30 | 11:00 | Morning tea |
| 11:00 | 12:15 | SESSION 2: Methods for Diverse Data (n > 10) |
| Pres 1: Diversity of Sport Science Data: random small examples (Marijke Welvaert -(UCRISE/AIS)) | ||
| Pres 2: Integrating diverse data into a whole-of-systems model: a resilience and Bayesian network case study (Paul Wu) | ||
| Pres 3: QAS - Jonathan Peake | ||
| Group Discussion: Opportunities & Challenges | ||
| 12:15 | 1:15 | Lunch |
| 1:15 | 2:30 | SESSION 3: Other Methods |
| Pres 1: Methods for Big Data (Kerrie Mengersen | ||
| Pres 2: Christopher Drovandi | ||
| Pres 3: Computer Vision and Performance Analysis (Simon Denman) | ||
| Pres 4: Virtual Populations for Coping With Physiological Variability: (Brodie Lawson) (ACEMS) | ||
| Group Discussion: Ideas for New Opportunities (David Pyne) | ||
| 2:30 | 3:00 | Afternoon Tea |
| 3:00 | 4:00 | Special Interest Group: Pushing Forward with ARC Application - Enhancing the Performance and Resilience of Sportspeople (Lead by Jeff Greenhill, David Pyne, Paul Wu, Chris Drovandi & Kerrie Mengersen). |