BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260619T151228Z UID:eb7cb8d5-9877-47a5-a88b-d9963b020e9a DTSTART:20221128T090000Z DTEND:20221130T170000Z DESCRIPTION:**The course is now full with a long waiting list. **\n# Overvi ew\nData analysis is fundamental for arriving at scientific conclusions an d testing different model hypotheses. Key to this is understanding uncerta inty in our results\, and Bayesian statistics offers a framework to quanti fy and assess the variability in our inference from data. This 3-day cours e will introduce participants to the core concepts of Bayesian statistics through lectures and applied examples. The first two days of the course wi ll be dedicated to lectures and practical exercises. The practical exercis es will be implemented in the widely used R programming language and the R stan library. They will enable participants to use standard Bayesian stati stical tools and interpret their results. \n\nThe third day will host a se ries of talks by experts from SIB groups\, who will present state-of-the-a rt Bayesian methods and their application in the life sciences. \n\n# Prel iminary program \n## Day 1 - in person\, in Basel\n9:00 – 17:00: **Jack Kuipers** (ETH Zurich and SIB) and **Wandrille Duchemin** (University of B asel and SIB) \n* T-test recap\n* P-values and confidence intervals\n* Mon te Carlo methods\n* Bayesian first steps\n#### Long talk and demo 1 - onli ne\n* 17:15 – 18: 30 Bayesian stochastic modelling in Systems Biology - **Simone Tiberi** (University of Bologna) \n\n## Day 2 - in person\, in B asel\n9:00 – 17:00: **Jack Kuipers** (ETH Zurich and SIB) and **Wandrill e Duchemin** (University of Basel and SIB) \n* Bayesian t-tests (STAN + BR MS)\n* Priors\n* Bayesian linear regression\n* Bayesian logistic regressio n\n\n#### Long talk and demo 2 - online (cont.)\n* 17:15 – 18: 30 Bayesi an approaches for (bulk and single-cell) RNA-seq data - **Simone Tiberi** (cont.)(University of Bologna) \n\n## Day 3 - Long talks and demos - onli ne \n* 10:00 - Informative Bayesian priors boost power in genome-wide asso ciation studies - **Zoltan Kutalik** (University of Lausanne and SIB) \n* 11:00 Coffee break\n* 11:15 - cont. **Zoltan Kutalik** \n* 12:30 Lunch bre ak \n* 14:00 – Bayesian foundations of Phylogenetic and Phylodynamic inf erence – **Timothy Vaughan** (BSSE-ETHZ and SIB) \n* 15:00 Coffee break\ n* 15:15 – cont. **Timothy Vaughan** \n* 16:30 Close \n\n# Audience\nThi s course is intended for life scientists familiar with statistical inferen ce and who would like to add the Bayesian perspective to enrich their rese arch. \n\n# Learning outcomes\nAt the end of the course\, participants sh ould be able to: \n* Recognise the core components of a Bayesian model \n* List the main concepts of methods for Bayesian inference \n* Implement a simple Bayesian model in R \n* Interpret the results of a Bayesian model \ n\n# Prerequisites\n##### Knowledge / competencies\n**Being at ease with R is absolutely required for this course** (at least equivalent to the [Fir st steps with R](https://github.com/sib-swiss/first-steps-with-R-training) SIB course). Basic knowledge of statistical inference (for instance\, equ ivalent to the [Introduction to statistics](https://www.sib.swiss/training /course/20220207_STATR) SIB course) is also required. \n \nBoth pre-requis ites are also taught by the ETHZurich course [introduction to statistics a nd R](http://www.vvz.ethz.ch/Vorlesungsverzeichnis/lerneinheit.view?semkez =2022W&\;ansicht=KATALOGDATEN&\;lerneinheitId=163598&\;lang=en) \ n\n##### Technical\nYou are required to bring your own laptop and make sur e that the following software is installed PRIOR to the course: \n* A rec ent verion of [R](https://www.r-project.org/) and [RStudio](https://www.rs tudio.com/products/rstudio/download/) (the free version is more than enoug h).\n\nAdditionally\, make sure to have the following R libraries installe d: \n* The [Rstan](https://github.com/stan-dev/rstan/wiki/RStan-Getting-St arted) package (warning\, there are 2 steps to the installation: Configuri ng C++ toolchains\, and then installation of Rstan) \n* [Rmarkdown](https: //rmarkdown.rstudio.com/lesson-1.html) \n* [Shiny](https://shiny.rstudio.c om/tutorial/written-tutorial/lesson1/) \n* [tidyverse](https://www.tidyver se.org/packages/) \n* [BRMS](https://cran.r-project.org/web/packages/brms/ index.html) \n\n\n\n# Application\nThe registration fees for the 3 full-da ys for academics are **120 CHF** and **600 CHF** for for-profit companies. \n\nWhile participants are registered on a first come\, first served basi s\, exceptions may be made to ensure diversity and equity\, which may incr ease the time before your registration is confirmed.\n\nYou will be inform ed by email of your registration confirmation. Upon reception of the confi rmation email\, participants will be asked to confirm attendance by paying the fees within 5 days.\n\nApplications close on *30/09/2022* or as soon as the course is full. Deadline for free-of-charge cancellation is set to *14/11/2022*. Cancellation after this date will not be reimbursed. Please note that participation in SIB courses is subject to our [general conditio ns](https://www.sib.swiss/training/terms-and-conditions).\n\n# Venue and T ime\nThis course will be in person only at the University of Basel on Days 1 and 2\, and online only on Day 3.\n\nThe course will start at 9:00 and end around 17:00. \n\nMore information will be provided to the registered participants in due time. \n\n# Additional information\nCoordination: Pat ricia Palagi\n\nWe will recommend 0.75 ECTS credits for this course (given that a successful evaluation is achieved at the end of the course).\n\nYo u are welcome to register to the SIB courses mailing list to be informed o f all future courses and workshops\, as well as all important deadlines us ing the form [here](https://lists.sib.swiss/mailman/listinfo/courses).\n\n Please note that participation in SIB courses is subject to our [general c onditions](https://www.sib.swiss/training/terms-and-conditions).\n\nSIB ab ides by the [ELIXIR Code of Conduct](https://elixir-europe.org/events/code -of-conduct). Participants of SIB courses are also required to abide by th e 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/20221128_IBAYE END:VEVENT END:VCALENDAR