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DTSTART;TZID=Australia/Melbourne:20230814T103000
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DTSTAMP:20260501T212321
CREATED:20230615T045911Z
LAST-MODIFIED:20230622T121658Z
UID:2705-1692009000-1692014400@training.ecotox.science
SUMMARY:Model Averaging - Fundamentals
DESCRIPTION:Virtual interactive tutorial with Professor David Fox (Free with purchase of online course “Introduction to Model Averaging and ssdtools in R”) \n\n\n\n\n\n\nInterested in model averaging? Want to know understand the fundamentals? Then this is the place to start.Topics to be covered include: \n\n\n\n\ngoodness-of-fit metrics and measures of ‘closeness’\n\n\n\nentropy\n\n\n\nKullback-Leibler information\n\n\n\nAkaike’s Information Criterion (AIC) and AIC corrected (AICc)\n\n\n\nassessing the adequacy of model fits using AICc\n\n\n\nExamples using R – regression models and fitting concentration-response (CR) models
URL:https://training.ecotox.science/event/model-averaging-fundamentals/
LOCATION:Queensland
CATEGORIES:Tutorial
ATTACH;FMTTYPE=image/jpeg:https://training.ecotox.science/wp-content/uploads/2023/05/bias-variance-relationship.jpg
ORGANIZER;CN="Professor David Fox":MAILTO:david.fox@ecotox.science
END:VEVENT
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DTSTART;TZID=Australia/Melbourne:20230811T090000
DTEND;TZID=Australia/Melbourne:20230811T150000
DTSTAMP:20260501T212321
CREATED:20230619T054904Z
LAST-MODIFIED:20230826T042038Z
UID:2918-1691744400-1691766000@training.ecotox.science
SUMMARY:Concentration-Response Modelling using R
DESCRIPTION:Learn about all the latest developments in CR modelling covering both Frequentist and Bayesian frameworks. \n\n\n\n\n\n\n\n\nGo to SETAC-AU 2023 website\n\n\n\nMore information
URL:https://training.ecotox.science/event/concentratio-response-modelling-using-r/
LOCATION:Rydges Southbank Townsville\, Queensland\, 23 Palmer Street\, Townsville\, Queensland\, 4810\, Australia
CATEGORIES:Lecture,Tutorial
ATTACH;FMTTYPE=image/png:https://training.ecotox.science/wp-content/uploads/2023/05/NSEC-graphical-abstract-e1689297823575.png
ORGANIZER;CN="Dr. Rebecca Fisher":MAILTO:r.fisher@aims.gov.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Melbourne:20230619T000000
DTEND;TZID=Australia/Melbourne:20230812T235959
DTSTAMP:20260501T212321
CREATED:20230616T065317Z
LAST-MODIFIED:20230622T122550Z
UID:2771-1687132800-1691884799@training.ecotox.science
SUMMARY:Short Course - Model Averaging
DESCRIPTION:Get a head start on the latest developments in SSD modelling! \n\n\n\n\n\nThis is an essential course if you are a practising ecotoxicologist who has an interest in: \n\n\n\n\nconcentration-response (C-R) modelling\n\n\n\nspecies sensitivity distributions (SSDs)\n\n\n\nthe Burrlioz software\n\n\n\nssdtools software\n\n\n\nestablishing guideline values\n\n\n\njust learning about model averaging\n\n\n\n\nSpecial deal\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nCourse DescriptionAlthough model averaging is not a new concept (it dates back to 1963)\, its application to SSD modelling certainly is. In this context\, model averaging (MA) is designed to help address a major conundrum in SSD modelling. And that is “what distribution do I use for the SSD?”. As noted by Fox and others\, unlike some other branches of science where there is either a ‘natural’ distribution or some theoretical basis to help guide the choice\, no such assistance is available in ecotoxicology. Coupled with this lack of guidance is the pathologically small sample sizes that we invariably use to fit SSDs and this results in the non-rejection of almost any plausible candidate distribution. This course will guide you through what can be a complex topic. We aim to do this in a natural\, intuitive way rather than by formal instruction (although there’s a bit of that!). Commencing with a review of why the process of averaging is so important for so much of what we do in science and progressing to measures of goodness-of-fit (GoF) and the introduction of information theoretic measures such as entropy; Kullback-Liebler information; and Akaike’s Information Criterion (AIC). These concepts will be introduced and discussed in the context of their application to SSD modelling and modelling more generally. We will use R in a ‘hands-on’ mode to perform some of the basic calculations using likelihood methods to obtain weights for comparing alternative SSD models. You will also be introduced to generalized linear models using R as well as tools to assess the adequacy of the fit.  From there we move on to putting the theory into practice with an emphasis on ‘learning by doing’.  Initially\, you will write your own functions in R to fit model-averaged SSDs and to use the fitted model to estimate HCx values. You will be shown ‘new’ techniques of developing and fitting mixture models to handle bimodal SSDs before finally moving on to the R package ssdtools and its on-line implementation shiny(ssdtools).  \n\n\n\nSpecial deal for first 20 SETAC AU members to enrolEnroll in the online course Model Averaging and receive a 25% discount and free course notes.There is no expiration to your access to course content and so you can undertake the course at your own pace –  work through the notes\, do the practice exercises\, and test your knowledge with interactive quizzes. For those interested in having an on-going involvement in Model Averaging and SSD modelling\, you can take out a student cloud subscription to access more advanced material\, tools\, and R code under the license ECOTOX.SCIENCE has with POSIT (formerly R Studio) for (USD)$5/month.  This subscription will also allow you to write\, run and store your R files on the POSIT cloud server\, so you’ll always be in touch no matter where you are.
URL:https://training.ecotox.science/event/short-course-model-averaging-dup/
LOCATION:Queensland
CATEGORIES:Lecture,Tutorial
ATTACH;FMTTYPE=image/png:https://training.ecotox.science/wp-content/uploads/2023/03/20230501_054051526_iOS-e1683272096818.png
ORGANIZER;CN="Professor David Fox":MAILTO:david.fox@ecotox.science
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