Introduction to statistics and R for everyone (IRFE01) https://www.prstatistics.com/course/introduction-to-statistics-and-r-for- anyone-irfe01/
This course will be delivered by Dr Aristides (Aris) Moustakas from the 18th - 22nd March 2019 in Crete. Please share! Course Overview: This course will provide attendees with the opportunity to learn how (a) to understand and read modern statistics reported in scientific studies, (b) use basic modern statistics for analysing their own data, using the open access R statistical software. The course will focus more on data deriving from life sciences namely medicine, biology, and ecology. The course will initially revise basic statistical knowledge of what is a sample and a distribution, and what is hypothesis testing. Sequentially, attendees will be introduced to the R statistical software. Then the course will proceed with the use of generalised linear models and their equivalency with t-tests, ANOVA, MANOVA and ANCOVA for analysing normally as well as non- normally distributed data and ultimately quantify results, errors, and uncertainty. Attendees will also learn how to produce quality graphs and figures. Intended Audience This workshop is ideal for scientists any scientists seeking an introduction to statistical inference and data analysis coming from diverse scientific disciplines such as medicine, biology, and ecology. No prior knowledge of R is required. However, some prior knowledge of basic statistics is required (e.g. types of distribution, what is a dependent and independent variable (explanatory variables, e.g. body weight). Course programme Monday 18th – Classes from 09:00 to 17:00 Lecture 1-1) Revision of basic statistics: what is a distribution, sampling, data types, factors, basic statistical tests 1-2) Introduction to the R environment 1-3) Packages, names, data types 1-4) Read, write, access, manipulate data Practical 1-1) Install R packages 1-2) Load datasets 1-3) Perform basic statistics, t-tests, ANOVA Tuesday 19th – Classes from 09:00 to 17:00 Lecture 2-1) Experimental design, probability distributions, parameter estimation, confidence intervals 2-2) Null hypothesis testing 2-3) Multiple comparisons, Generalized ANOVA, MANOVA, MANCOVA and their equivalency (and easiness of doing so) using a Generalized Linear Model Practical 2-1) Simple linear regression 2-2) Fitting generalized linear models in real normally-distributed datasets Wednesday 20th – Classes from 09:00 to 17:00 Lecture 3-1) Generalizing the regression for many dependent variables 3-2) Model selection and multi-model inference 3-3) Plotting effects 3-4) Checking model assumptions and residuals Practical 3-1) A full normally distributed data analysis 3-2) Model fitting 3-3) ANOVA 3-4) Residuals 3-5) Plotting effects reporting results Thursday 21st – Classes from 09:00 to 17:00 Lecture 4-1) Time-to-event (survival analysis) 4-2) Logistic regression 4-3) Mixed effects models – fixed effects and random effects Practical 4-1) Survival analysis and plotting results 4-2) Fitting mixed effects models, understanding the difference between random and fixed effects 4-3) Plotting all effects Friday 22nd – Classes from 09:00 to 16:00 Lecture 5-1) Dealing with non-normally distributed data 5-2) Identifying the distribution of the data 5-3) Generalizing the linear model for non-normally distributed data 5-4) Data visualisation – Plotting publication quality figures Practical 5-1) Identifying the distribution of the data through AIC model selection 5-2) Fitting the best model residual error structure in a generalised linear model 5-3) Understanding, plotting, interpreting (reporting) and discussing results Email oliverhoo...@prstatistics.com Check out our sister sites, www.PRstatistics.com (Ecology and Life Sciences) www.PRinformatics.com (Bioinformatics and data science) www.PSstatistics.com (Behaviour and cognition) 1. October 15th – 19th 2018 APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME04) Glasgow, Scotland, Dr. Matt Denwood, Emma Howard http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists- epidemiologists-abme04/ 2. October 23rd – 25th 2018 INTRODUCTIUON TO R (This is a private ‘in-house’ course) London, England, Dr William Hoppitt 3. October 29th – November 2nd 2018 INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02) Glasgow, Scotland, Dr. Olivier Gauthier https://www.prstatistics.com/course/introduction-to-statistics-and-r-for- biologists-irfb02/ 4. October 29th – November 2nd 2018 INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01) Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw- genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/ 5. November 5th – 8th 2018 PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND PHENOTYPIC EVOLUTION (PCME01) Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou https://www.prstatistics.com/course/phylogenetic-comparative-methods-for- studying-diversification-and-phenotypic-evolution-pcme01/ 6. November 19th – 23rd 2018 STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02) Glasgow, Scotland, Dr. Jonathan Lefcheck https://www.prstatistics.com/course/structural-equation-modelling-for- ecologists-and-evolutionary-biologists-semr02/ 7. November 26th – 30th 2018 FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER01) Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to- ecosystem-theory-and-computation-feer01/ 8. December 3rd – 7th 2018 INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES USING R AND STAN (BDRS01) Glasgow, Dr. Mark Andrews https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis- for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/ 9. January 21st – 25th 2019 STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (TTED01) Glasgow, Scotland, Dr. Will Hoppitt https://www.psstatistics.com/course/statistical-modelling-of-time-to-event- data-using-survival-analysis-tted01/ 10. January 21st – 25th 2019 ADVANCING IN STATISTICAL MODELLING USING R (ADVR08) Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay http://www.prstatistics.com/course/advancing-statistical-modelling-using-r- advr08/ 11. January 28th– February 1st 2019 AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN Glasgow, Scotland, VEMCO staff and affiliates https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data- analysis-atda01/ 12. February 4th – 8th 2019 DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) Glasgow, Scotland, Dr. Daniel Lakens https://www.psstatistics.com/course/designing-reliable-and-effecient- experiments-for-social-sciences-dres01/ 13. February 11th – 15th 2019 REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar https://www.prstatistics.com/course/reproducible-data-science-for- population-genetics-rdpg02/ 14. 25th February – 1st March 2019 MOVEMENT ECOLOGY (MOVE02) Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr Jonathan Potts https://www.prstatistics.com/course/movement-ecology-move02/ 15. March 4th – 8th 2019 BIOACUSTIC DATA ANALYSIS Glasgow, Scotland, Dr. Paul Howden-Leach https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware- survey-design-and-data-analysis-biac01/ 16. March 11th – 15th 2019 ECOLOGICAL NICHE MODELLING USING R (ENMR03) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r- enmr03/ 17. March 18th – 22nd 2019 INTRODUCTION TO STATISTICS AND R FOR EVERYONE (IRFE01) Crete, Greece, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/introduction-to-statistics-and-r-for- anyone-irfe01/ 18. March 25th – 29th 2019 LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03) Glasgow, Scotland, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r- lndg03/ 19. April 1st – 5th 2019 INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01) Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre http://www.psstatistics.com/course/introduction-to-statistics-using-r-for- psychologists-ipsy02/ 20. April 1st – 5th 2019 INDIVIDUAL BASED MODELS FOR ECOLOGSITS (IBME01) Glasgow Scotland, Dr Aristides (Aris) Moustakas Link to follow 21. April 8th – 12th 2019 MACHINE LEARNING Glasgow Scotland, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/machine-learning-using-r-mlur01/ 22. April 8th – 12th 2019 SPATIAL MODELLING, ANALYSIS AND STATISTICAL INFERENCE OF GENOMIC DATA (SPGN01) Crete, Greece, Dr Matt Fitzpatrick https://www.prstatistics.com/course/spatial-modelling-analysis-and- statistical-inference-of-genomic-data-spgn01/ 23. May 6th – 10th 2019 NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA03) Myuna Bay, Australia, Dr. Marco Scotti www.prstatistics.com/course/network-analysis-ecologists-ntwa03/ 24. May 16th – 18th 2019 (please note this a 3-day course from Thursday to Saturday) AQUATIC MOVEMENT ECOLOGY USING R (AMER01) Myuna Bay, Australia, Dr. Ross Dwyer, Dr. Vinay Udyawer Link to follow 25. May 16th – 19th 2019 (please note this a 4-day course from Thursday to Monday) Introduction to R for everyone (IRFE02) Myuna Bay, Australia, Dr Aristides (Aris) Moustakas Link to follow 26. May 20th – 24th 2019 MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV03) Myuna Bay, Australia, Prof. David Warton https://www.prstatistics.com/course/model-based-multivariate-analysis-of- abundance-data-using-r-mbmv03/ 27. May 21st – 24th 2019 A statistical tool box for ecologists (STBE01) Myuna Bay, Australia, Dr Aristides (Aris) Moustakas Link to follow 28. June 10th – 14th 2019 STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04) Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/ 29. June 17th – 21st 2019 INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB06) Glasgow, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/introduction-to-python-for-biologists- ipyb06/ 30. June 24th – 28th 2019 ADVANCED PYTHON FOR BIOLOGISTS (APYB03) Glasgow, Scotland, Dr. Martin Jones www.prinformatics.com/course/advanced-python-biologists-apyb03/ 31. July 1st – 5th 2019 DATA VISUALISATION AND MANIPULATION USING PYTHON (DVMP01) Glasgow, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/data-visualisation-and-manipulation- using-python-dvmp01/ 32. October 7th – 11th 2019 CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01) Crete, Greece, Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr- from-theory-to-practice-prtz01/ 33. October 21st – 25th 2019 A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL AUTOCORRELATION) (MMTS01) Crete, Greece, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/a-complete-guide-to-mixed-models- including-temporal-and-spatial-autocorrelation-mmts01/
