BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260711T075559Z UID:590dc016-3aaf-45ff-a3c0-ac1c6f804cb6 DTSTART:20250505T090000Z DTEND:20250506T170000Z DESCRIPTION:# Overview\nData analysis is fundamental to arrive at scientifi c conclusions and to test different model hypotheses. Key to this is under standing uncertainty in our results\, and Bayesian statistics offers a fra mework to quantify and assess the variability in our inference from data.\ n\nThis 2-day course will introduce participants to the core concepts of B ayesian statistics through lectures and practical exercises. The exercise s will be implemented in the widely used R programming language and the Rs tan library. They will enable participants to use standard Bayesian statis tical tools and interpret their results. \n\n\n \n# Audience\nThis course is intended for life scientists familiar with statistical inference and wh o would like to add the Bayesian perspective to enrich their research. \n \n# Learning outcomes\nAt the end of the course\, participants should be a ble to: \n* Recognise the core components of a Bayesian model \n* List the main concepts of methods for Bayesian inference \n* Implement a simple Ba yesian model in R \n* Interpret the results of a Bayesian model \n\n# Prer equisites\n##### Knowledge / competencies\nYou should meet the learning ou tcomes of [First Steps with R in Life Sciences](https://www.sib.swiss/trai ning/course/20250203_FSWR) and [Introduction to Statistics with R](https:/ /www.sib.swiss/training/course/20250127_STATR).\n\n**Being at ease with R is absolutely required for this course**. Furthermore\, basic knowledge o f statistical inference\, T-test\, P-values and confidence intervals is al so required. Test your R skills with the quiz [here](https://docs.google.c om/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyOg/view form?usp=sf_link)\, before registering. \n\n##### Technical\nYou are requi red to bring your own laptop and make sure that the following software is installed PRIOR to the course: \n* A recent version of [R](https://www.r- project.org/) and [RStudio](https://www.rstudio.com/products/rstudio/downl oad/) (the free version is more than enough).\n\nAdditionally\, make sure to have the following R libraries installed: \n* The [Rstan](https://githu b.com/stan-dev/rstan/wiki/RStan-Getting-Started) package (warning\, there are 2 steps to the installation: Configuring C++ toolchains\, and then ins tallation of Rstan) \n* [Rmarkdown](https://rmarkdown.rstudio.com/lesson-1 .html) \n* [Shiny](https://shiny.rstudio.com/tutorial/written-tutorial/les son1/) \n* [tidyverse](https://www.tidyverse.org/packages/) \n* [BRMS](htt ps://cran.r-project.org/web/packages/brms/index.html) \n\n# Schedule \n## Pre-course preparation\nParticipants will be asked to become familiar with the contents of videos and carry out exercises **1 week prior to the cour se.**\n\n## Day 1 \n9:00 – 17:00: **Jack Kuipers** (ETH Zurich and SIB) and **Wandrille Duchemin** (University of Basel and SIB) \n* Monte Carlo m ethods\n* Bayesian first steps\n* Bayesian t-tests (STAN + BRMS)\n\n## Day 2 \n9:00 – 17:00: **Jack Kuipers** (ETH Zurich and SIB) and **Wandrille Duchemin** (University of Basel and SIB) \n* Priors\n* Bayesian linear re gression\n* Bayesian logistic regression\n\n# Application\nThe registratio n fees for academics are **200 CHF** and **1000 CHF** for for-profit compa nies. \n\nWhile participants are registered on a first come\, first served basis\, exceptions may be made to ensure diversity and equity\, which may increase the time before your registration is confirmed.\n\nYou will be i nformed by email of your registration confirmation. Upon reception of the confirmation email\, participants will be asked to confirm attendance by p aying the fees within 5 days.\n\nApplications close on **14/04/2025** or a s soon as the course is full. Deadline for free-of-charge cancellation is set to **21/04/2025**. Cancellation after this date will not be reimbursed . Please note that participation in SIB courses is subject to our [general conditions](https://www.sib.swiss/training/terms-and-conditions).\n\n# Ve nue and Time\nThis course will take place in Basel\, at the University of Basel.\n\nThe course will start at 9:00 and end around 17:00. \n\nMore inf ormation will be provided to the registered participants one week before t he course starts. \n\n# Additional information\nCoordination: Monique Zah n\, SIB Training group.\n\nWe will recommend 0.5 ECTS credits for this cou rse (given that a successful evaluation is achieved at the end of the cour se).\n\nYou are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops\, as well as all important de adlines using the form [here](https://lists.sib.swiss/mailman/listinfo/cou rses).\n\nPlease note that participation in SIB courses is subject to our [general conditions](https://www.sib.swiss/training/terms-and-conditions). \n\nSIB abides by the [ELIXIR Code of Conduct](https://elixir-europe.org/e vents/code-of-conduct). Participants of SIB courses are also required to a bide by the same code.\n\nFor more information\, please contact [training@ sib.swiss](mailto://training@sib.swiss). SUMMARY:Introduction to Bayesian Statistics with R URL;VALUE=URI:https://www.sib.swiss/training/course/20250505_IBAYE END:VEVENT END:VCALENDAR