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DTSTAMP:20260407T181213Z
UID:52e93ae1-4ee0-4269-9a79-4d4c032f09f4
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\, with a foc
 us on data originating from omics technologies.\n\n## Audience\nThis cours
 e is designed for PhD students\, postdoctoral and other researchers in the
  life sciences from both academia and industry who work with data that hav
 e missing values.\n\n## Learning outcomes\nAt the end of the course\, the 
 participants are expected to:\n* describe the difference between data miss
 ing at random (MAR) and missing not at random (MCAR)\n* understand the lim
 itations of simple methods for handling missing data\n* choose between dif
 ferent imputation methods\, especially in the context of omics data\n* app
 ly some of these methods to actual data using R\n\n\n## Prerequisites\n###
 ## Knowledge / competencies\nThis course is designed for intermediate-leve
 l users and the requirement are the following:\n* You should meet the lear
 ning outcomes of [First Steps with R in Life  Sciences](https://www.sib.sw
 iss/training/course/20250203_FSWR) or [Introduction 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_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyOg/viewform) before
  registering.\n-  A Wi-Fi enabled laptop with latest R and RStudio version
 s installed.\nThere will be access to the eduroam and guest network.\n\n##
 ### Technical\n* A Wi-Fi enabled laptop with latest R and RStudio versions
  installed.\nWifi: there will be access to the Eduroam and guest network.\
 n\n\n## Application\nThe registration fees for academics are **100 CHF** a
 nd **500 CHF** for for-profit companies.\n\nYou will be informed by email 
 of your registration confirmation. Upon reception of the confirmation emai
 l\, participants will be asked to confirm attendance by paying the fees wi
 thin 5 days.\n\nApplications close at latest on *25/05/2026*. Deadline for
  free-of-charge cancellation is set to *25/05/2026*. Cancellation after th
 is date will not be reimbursed. Please note that participation in SIB cour
 ses is subject to our [general conditions](https://www.sib.swiss/training/
 terms-and-conditions).\n\n## Venue and Time\nThis online course will take 
 place at the University of Lausanne.\n\nIt will start at 9:00 and end arou
 nd 17:00.\n\nPrecise information will be provided to the participants in d
 ue time.\n\n\n## Additional information\nCoordination: Geert van Geest\, S
 IB Training Group.\n\nWe will recommend 0.25 ECTS credits for this course 
 (given a passed exam at the end of the course).\n\nYou are welcome to regi
 ster to the SIB courses mailing list to be informed of all future courses 
 and workshops\, as well as all important deadlines using the form [here](h
 ttps://lists.sib.swiss/postorius/lists/courses.lists.sib.swiss/).\n\nPleas
 e note that participation in SIB courses is subject to our [general condit
 ions](https://www.sib.swiss/training/terms-and-conditions).\n\nSIB abides 
 by the [ELIXIR Code of Conduct](https://elixir-europe.org/events/code-of-c
 onduct). Participants of SIB courses are also required to abide by the sam
 e code.\n\nFor more information\, please contact [training@sib.swiss](mail
 to://training@sib.swiss).
SUMMARY:Missing Data and Imputation Methods
URL;VALUE=URI:https://www.sib.swiss/training/course/20260608_IMPUT
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