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PS statistics are running a course aimed specifically at analysing behavioural data (human and animal). "Behavioural data analysis using maximum likelihood in R (BDML01)" https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml01/ This course is being devielred by Dfr Will Hoppitt and will run from 19 March 2018 - 23 March 2018 in Glaasgow 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. 1) After successfully completing this course students should be able to: 2) fit a multi-parameter maximum likelihood model in R 3) derive likelihood functions for binary, count and continuous data 4) deal with time-to-event data 5) build custom models to test specific behavioural hypotheses 6) conduct hypothesis tests and construct confidence intervals 7) use Akaike’s information criterion (AIC) and model averaging 8) understand how maximum likelihood relates to Bayesian techniques Full details and time table can be found at https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml01/ We offer accommodation packages as well to make travel cheaper, easier and stress free. Please email any questions to [log in to unmask] Also check out our sister sites, www.PRstatistics.com (ecology courses) and wwwPRinformatics.com (data science courses) Other up-coming PS stats courses Oliver Hooker PhD. PS statistics Introduction to Bayesian hierarchical modelling using R (IBHM02) https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/ Behavioural data analysis using maximum likelihood in R (BDML01) https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml01/ Introduction to statistical modelling for psychologists in R (IPSY01) https://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy01/ Social Network Analysis for Behavioural Scientists using R (SNAR01) https://www.psstatistics.com/course/social-network-analysis-for-behavioral-scientists-snar01/ PSstatistics.com facebook.com/PSstatistics/ twitter.com/PSstatistics 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.