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DTSTAMP:20260624T093413Z
UID:02460214-41af-4f9a-b216-caad726101c4
DTSTART:20250522T090000Z
DTEND:20250522T170000Z
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\nat random (MNA
 R)\, and cover several widely-used methods for dealing with missing data. 
 We will use R to apply some of these methods to real data sets\, with a fo
 cus on data originating from omics technologies.\n\n## Audience\nThis cour
 se is addressed to biologists and bioinformaticians working with data that
  have missing\nvalues.\n\n## Learning outcomes\nAt the end of the course\,
  the participants are expected to:\n* describe the difference between data
  missing at random (MAR) and missing not at random (MCAR)\n* understand th
 e limitations of simple methods for handling missing data\n* choose betwee
 n different imputation methods\, especially in the context of omics data\n
 * apply some of these methods to actual data using R\nPrerequisites\n\n## 
 Prerequisites\n##### Knowledge / competencies\nThis course is designed for
  intermediate-level users and the requirement are the following:\n* You sh
 ould meet the learning outcomes of [First Steps with R in Life  Sciences](
 https://www.sib.swiss/training/course/20250203_FSWR) or [Introduction to S
 tatistics with R](https://www.sib.swiss/training/course/20250127_STATR).\n
 In case of doubt\, evaluate your R skills with [this quiz](https://docs.go
 ogle.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyO
 g/viewform) before registering.\n-  A Wi-Fi enabled laptop with latest R a
 nd RStudio versions installed.\nThere will be access to the eduroam and gu
 est network.\n\n##### Technical\n* A Wi-Fi enabled laptop with latest R an
 d RStudio versions installed.\nWifi: there will be access to the Eduroam a
 nd guest network.\n\n## Schedule - CET time zone\nTo be announced\n\n## Ap
 plication\nThe registration fees for academics are **100 CHF** and **500 C
 HF** for for-profit companies.\n\nYou will be informed by email of your re
 gistration confirmation. Upon reception of the confirmation email\, partic
 ipants will be asked to confirm attendance by paying the fees within 5 day
 s.\n\nApplications close at latest on 9 May 2025. Deadline for free-of-cha
 rge cancellation is set to 9 May 2025. Cancellation after this date will n
 ot be reimbursed. Please note that participation in SIB courses is subject
  to our [general conditions](https://www.sib.swiss/training/terms-and-cond
 itions).\n\n## Venue and Time\nThis online course will take place at the U
 niversity of Lausanne.\n\nIt will start at 9:00 and end around 17:00.\n\nP
 recise information will be provided to the participants in due time.\n\n\n
 ## Additional information\nCoordination: Grégoire Rossier\n\nWe will reco
 mmend 0.25 ECTS credits for this course (given a passed exam at the end of
  the course).\n\nYou are welcome to register to the SIB courses mailing li
 st to be informed of all future courses and workshops\, as well as all imp
 ortant deadlines using the form [here](https://lists.sib.swiss/postorius/l
 ists/courses.lists.sib.swiss/).\n\nPlease note that participation in SIB c
 ourses is subject to our [general conditions](https://www.sib.swiss/traini
 ng/terms-and-conditions).\n\nSIB abides by the [ELIXIR Code of Conduct](ht
 tps://elixir-europe.org/events/code-of-conduct). Participants of SIB cours
 es 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/20250522_IMPUT
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