BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260721T163626Z
UID:23a43e9e-40ca-4fe6-bab0-17479c2cf7b7
DTSTART:20260608T090000Z
DTEND:20260608T170000Z
DESCRIPTION:## Overview\nMissing data is a common issue in biological resea
 rch\, and simply ignoring data records with missing values can have undesi
 rable consequences\, such as loss of statistical power due to decreased da
 ta size or introduction of bias.\n\nVarious statistical methods have been 
 developed to handle or impute missing data\; some of these are simple but 
 have serious limitations and can cause new problems\, while others aim to 
 be more robust to known pitfalls but are more complex and harder to apply.
  Selecting an appropriate imputation method for a given analysis and evalu
 ating the results is a challenging task in and of itself.\n\nIn this cours
 e\, we will introduce the concept of missing data\, explain the difference
  between data missing at random (MAR) and data missing not at random (MNAR
 )\, and cover several widely-used methods for dealing with missing data. W
 e will use R to apply some of these methods to real data sets. The content
  of the course will be applicable to any kind of data with missing values\
 ; in particular\, we will discuss data originating from mass spectrometry 
 omics experiments and from clinical settings\, as these are among the most
  common fields in need of data imputation.\n\n## Audience\nThis course is 
 designed for PhD students\, postdoctoral and other researchers in the life
  sciences from both academia and industry who work with data that have mis
 sing values.\n\n## Learning outcomes\nAt the end of the course\, the parti
 cipants are expected to:\n* describe the difference between data missing a
 t random (MAR) and missing not at random (MCAR)\n* understand the limitati
 ons of simple methods for handling missing data\n* choose between differen
 t imputation methods\n* apply some of these methods to actual data using R
 \n\n\n## Prerequisites\n##### Knowledge / competencies\nThis course is des
 igned for intermediate-level users and the requirement are the following:\
 n* You should meet the learning outcomes of [First Steps with R in Life  S
 ciences](https://www.sib.swiss/training/course/20250203_FSWR) or [Introduc
 tion to Statistics with R](https://www.sib.swiss/training/course/20250127_
 STATR).\nIn case of doubt\, evaluate your R skills with [this quiz](https:
 //docs.google.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu20L9ESkLDZiW
 npmkpujyOg/viewform) before registering.\n\n\n##### Technical\n* A Wi-Fi e
 nabled laptop with latest R and RStudio versions installed.\nWifi: there w
 ill be access to the Eduroam and guest network.\n\n\n## Application\nThe r
 egistration fees for academics are **100 CHF** and **500 CHF** for for-pro
 fit companies.\n\nYou will be informed by email of your registration confi
 rmation. Upon reception of the confirmation email\, participants will be a
 sked to confirm attendance by paying the fees within 5 days.\n\nApplicatio
 ns close at latest on *25/05/2026*. Deadline for free-of-charge cancellati
 on is set to *25/05/2026*. Cancellation after this date will not be reimbu
 rsed. Please note that participation in SIB courses is subject to our [gen
 eral conditions](https://www.sib.swiss/training/terms-and-conditions).\n\n
 ## Venue and Time\nThis course will take place at the University of Lausan
 ne.\n\nIt will start at 9:00 and end around 17:00.\n\nPrecise information 
 will be provided to the participants in due time.\n\n\n## Additional infor
 mation\nCoordination: Geert van Geest\, SIB Training Group.\n\nWe will rec
 ommend 0.25 ECTS credits for this course (given a passed exam at the end o
 f the course).\n\nYou are welcome to register to the SIB courses mailing l
 ist to be informed of all future courses and workshops\, as well as all im
 portant deadlines using the form [here](https://lists.sib.swiss/postorius/
 lists/courses.lists.sib.swiss/).\n\nPlease note that participation in SIB 
 courses is subject to our [general conditions](https://www.sib.swiss/train
 ing/terms-and-conditions).\n\nSIB abides by the [ELIXIR Code of Conduct](h
 ttps://elixir-europe.org/events/code-of-conduct). Participants of SIB cour
 ses are also required to abide by the same code.\n\nFor more information\,
  please contact [training@sib.swiss](mailto://training@sib.swiss).
SUMMARY:Missing Data and Imputation Methods
URL;VALUE=URI:https://www.sib.swiss/training/course/20260608_IMPUT
END:VEVENT
END:VCALENDAR