Behavioural data analysis using maximum likelihood in R (BDML01) https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum- likelihood-bdml01/
19th March 2018 - 23rd March 2018 SCENE, Loch Lomond, Rowardennan, , Glasgow, Scotland, G63 0AW, United Kingdom Course Overview: This 5-day course will involve a combination of lectures and practical sessions. Students will learn to build and fit custom models for analysing behavioural data using maximum likelihood techniques in R. This flexible approach allows a researcher to a) use a statistical model that directly represents their hypothesis, in cases where standard models are not appropriate and b) better understand how standard statistical models (e.g. GLMs) are fitted, many of which are fitted by maximum likelihood. Students will learn how to deal with binary, count and continuous data, including time-to-event data which is commonly encountered in behavioural analysis. After successfully completing this course students should be able to: 1) fit a multi-parameter maximum likelihood model in R 2) derive likelihood functions for binary, count and continuous data 3) deal with time-to-event data 4) build custom models to test specific behavioural hypotheses 5) conduct hypothesis tests and construct confidence intervals 6) use Akaike’s information criterion (AIC) and model averaging 7) understand how maximum likelihood relates to Bayesian techniques Monday 19th Module 1: The process of statistical inference and the role of statistical models. Why learn likelihood techniques? Course outline Module 2: Maximum likelihood estimation: single parameter models for binary data Tuesday 20th Module 3: Models with several parameters for binary data, optimization algorithms Module 4: Testing hypotheses and constructing confidence intervals Wednesday 21st Module 5: Modelling count data and the Poisson distribution Module 6: Modelling continuous data, the normal distribution and the relationship of maximum likelihood to least squares Thursday 22nd Module 7: Modelling time to event data and the exponential distribution Module 8: Akaike’s information criterion (AIC) and model averaging Friday 12th Module 9: A brief introduction to Bayesian analysis, the practical advantages, and its relationship to maximum likelihood Afternoon: Trouble shooting and final summary Please send enquiries to oliverhoo...@psstatistics.com or visit www.psstatistcs.com for more details. Other courses include 1. 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April 16th – 20th 2018 INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre http://www.psstatistics.com/course/introduction-to-statistics-using-r-for- psychologists-ipsy01/ 14. April 23rd – 27th 2018 MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE #VGNR Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet https://www.prstatistics.com/course/multivariate-analysis-of-ecological- communities-in-r-with-the-vegan-package-vgnr01/ 15. April 30th – 4th May 2018 QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES #QGER Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick COMING SOON www.PRstatistics.com ---------------------------------------------------------------------------- ---------------------------------------------------------------------------- ------------------ 16. May 7th – 11th 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet https://www.prstatistics.com/course/advances-in-spatial-analysis-of- multivariate-ecological-data-theory-and-practice-mvsp03/ 17. May 14th - 18th 2018 INTRODUCTION TO MIXED MODELS FOR BIOLOGISTS #IMBR CANADA (QUEBEC), Prof Subhash Lele COMING SOON www.PRstatistics.com 18. May 21st - 25th 2018 INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB SCENE, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/introduction-to-python-for-biologists- ipyb05/ 19. May 21st - 25th 2018 INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis- for-ecological-applications-irms01/ 20. May 28th – 31st 2018 STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r- simm04/ 21. May 28th – June 1st 2018 ADVANCED PYTHON FOR BIOLOGISTS #APYB SCENE, Scotland, Dr. Martin Jones https://www.prinformatics.com/course/advanced-python-biologists-apyb02/ ---------------------------------------------------------------------------- ---------------------------------------------------------------------------- ------------------ 22. June 12th -0 15th 2018 SPECIES DISTRIBUTION MODELLING #DBMR Myuna Bay sport and recreation, Australia, TBC COMING SOON www.PRstatistics.com 23. June 12th – 15th 2018 MARK RECAPTURE METHODS IN ECOLOGY #MKRC Myuna Bay sport and recreation, Australia, TBC COMING SOON www.PRstatistics.com 24. June 18th – 22nd 2018 STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS USING R #SEMR Myuna Bay sport and recreation, Australia, TBC COMING SOON www.PRstatistics.com ---------------------------------------------------------------------------- ---------------------------------------------------------------------------- ------------------ 25. July 2nd - 5th 2018 SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR Glasgow, Scotland, Prof James Curley http://www.psstatistics.com/course/social-network-analysis-for-behavioral- scientists-snar01/ 26. July 8th – 12th 2018 MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV Glasgow, Scotland, Prof David Warton https://www.prstatistics.com/course/model-base-multivariate-analysis-of- abundance-data-using-r-mbmv02/ 27. July 16th – 20th 2018 PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA TO CLINICAL INTERPRETATION #PMBI Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith COMING SOON www.prinformatics.com 28. July 23rd – 27th 2018 EUKARYOTIC METABARCODING Glasgow, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/
