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Introduction to Bayesian hierarchical modelling using R (IBHM04) https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm04/ Please feel free to share! This course will be delivered by Dr Andrew Parnell form the 23rd - 27th March in Glasgow City Centre. Course Overview: This course will cover introductory hierarchical modelling for real-world data sets from a Bayesian perspective. These methods lie at the forefront of statistics research and are a vital tool in the scientist’s toolbox. The course focuses on introducing concepts and demonstrating good practice in hierarchical models. All methods are demonstrated with data sets which participants can run themselves. Participants will be taught how to fit hierarchical models using the Bayesian modelling software Jags and Stan through the R software interface. The course covers the full gamut from simple regression models through to full generalised multivariate hierarchical structures. A Bayesian approach is taken throughout, meaning that participants can include all available information in their models and estimates all unknown quantities with uncertainty. Participants are encouraged to bring their own data sets for discussion with the course tutors. Monday 8th – Classes from 09:00 to 17:00 Module 1: Introduction to Bayesian Statistics Module 2: Linear and generalised linear models (GLMs) Practical: Using R, Jags and Stan for fitting GLMs Round table discussion: Understanding Bayesian models Tuesday 9th – Classes from 09:00 to 17:00 Module 3: Simple hierarchical regression models Module 4: Hierarchical models for non-Gaussian data Practical: Fitting hierarchical models Round table discussion: Interpreting hierarchical model output Wednesday 10th – Classes from 09:00 to 17:00 Module 5: Hierarchical models vs mixed effects models Module 6: Multivariate and multi-layer hierarchical models Practical: Advanced examples of hierarchical models Round table discussion: Issues of continuous vs discrete time Thursday 11th – Classes from 09:00 to 16:00 Module 7: Shrinkage and variable selection Module 8: Hierarchical models and partial pooling Practical: Shrinkage modelling Round table discussion Bring your own data set Friday 12th – Classes from 09:00 to 16:00 Final day for recap session, catch up time and bring your own data set Email [log in to unmask] Check out our sister sites, www.PRstatistics.com (Ecology and Life Sciences) www.PRstatistics.com/consultancy (Statistical and bioinformatics consultancy in all fields) www.PRinformatics.com (Bioinformatics and data science) www.PSstatistics.com (Behaviour and cognition) 1. March 23rd – 27th INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING USING R (IBHM04) Glasgow, Scotland, Dr Andrew Parnell https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm04/ 2. March 30th – April 3rd INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS IN R (IPSY03) Glasgow, Scotland, Dr Dale Barr https://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy03/ 3. May 4th – May 8th PYTHON FOR DATA SCIENCE, MACHINE LEARNING, AND SCIENTIFIC COMPUTING (PDMS02) Glasgow, Scotland, Dr. Mark Andrews https://www.prinformatics.com/course/python-for-data-science-machine-learning-and-scientific-computing-pdms02/ 4. May 11th – 15th BIOINFORMATICS WITH LINUX WITH PYTHON (BILP01) Glasgow, Scotland, Dr. Martin Jones https://www.prinformatics.com/course/introduction-to-linux-workflows-for-biologists-ibul04/ 5. May 11th – 15th FORMALIZING UNCERTAINTY: FUZZY LOGIC IN SPECIES DISTRIBUTION AND DIVERSITY PATTERNS (FLDM01) Glasgow, Scotland, Dr. Marcia Barbosa https://www.prstatistics.com/course/formalizing-uncertainty-fuzzy-logic-in-species-distribution-and-diversity-patterns-fldm01/ 6. May 18th – 22nd STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02) Glasgow, Scotland, Dr. Jonathan Lefcheck, Dr. Jim (ames) Grace https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/ 7. May 25th – 29th GENERALISED LINEAR (MIXED) (GLMM), NONLINEAR (NLGLM) AND GENERAL ADDITIVE MODELS (MIXED) (GAMM) (GNAM01) Glasgow, Scotland, Dr Mark Andrews https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam02/ 8. June 1st – 5th LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03) Glasgow, Scotland, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg04/ 9. June 8th – 12th STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM06) Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm06/ 10. June 17th – 21st ADVANCED PYTHON FOR BIOLOGISTS (APYB04) Glasgow, Scotland, Dr. Martin Jones www.prinformatics.com/course/advanced-python-biologists-apyb04/ 11. July 20th – 24th APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME06) Glasgow, Scotland, Dr Matt Denwood https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme06/ 12. July 27th – 31st SPECIES DISTRIBUTION MODELLING (DBMR01) Glasgow, Scotland, Dr Matt Fitzpatrick www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/ 13. October 5th – 9th ECOLOGICAL NICHE MODELLING USING R (ENMR04) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr04/ 14. October 11th – 16th ADVANCED ECOLOGICAL NICHE MODELLING USING R (ABNMR01) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/ You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.