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#missingdata

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Darrin L Rogers<p>Does anyone have a good resource on planned missingness designs? </p><p><a href="https://fediscience.org/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://fediscience.org/tags/missingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>missingdata</span></a> <a href="https://fediscience.org/tags/researchdesign" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>researchdesign</span></a> <a href="https://fediscience.org/tags/AskingForAFriend" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AskingForAFriend</span></a> <a href="https://fediscience.org/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #319 Small Sample Size Solutions [book]</p><p>Thoughts: This should just be the default text for psychologists, as most research fits the "small sample" label.</p><p><a href="https://mastodon.social/tags/smallsample" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>smallsample</span></a> <a href="https://mastodon.social/tags/book" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>book</span></a> <a href="https://mastodon.social/tags/guide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>guide</span></a> <a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/permutation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>permutation</span></a> <a href="https://mastodon.social/tags/sem" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sem</span></a> <a href="https://mastodon.social/tags/metaanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>metaanalysis</span></a> <a href="https://mastodon.social/tags/nof1" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nof1</span></a> <a href="https://mastodon.social/tags/missingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>missingdata</span></a></p><p><a href="https://doi.org/10.4324/9780429273872" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.4324/9780429273872</span><span class="invisible"></span></a></p>
Statistics Globe<p>Final reminder: the Statistics Globe online workshop, "Missing Data Imputation in R," starts in just 24 hours!</p><p>It would be great if you also took part in the workshop. So if you are interested, please register now: <a href="https://statisticsglobe.com/online-workshop-missing-data-imputation-r" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/online-wor</span><span class="invisible">kshop-missing-data-imputation-r</span></a></p><p>Looking forward to seeing you there!</p><p>Joachim</p><p><a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.social/tags/missingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>missingdata</span></a> <a href="https://mastodon.social/tags/imputation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>imputation</span></a></p>
Statistics Globe<p>Only 3 days left until the start of the Statistics Globe online workshop, Missing Data Imputation in R.</p><p>Kicking off on February 20, this workshop includes eight weekly live sessions, beginning with the basics of handling missing data and advancing to sophisticated imputation techniques in R.</p><p>The workshop is limited to 15 participants, so enroll now to secure your spot.</p><p>Learn more and sign up here: <a href="https://statisticsglobe.com/online-workshop-missing-data-imputation-r" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/online-wor</span><span class="invisible">kshop-missing-data-imputation-r</span></a></p><p><a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.social/tags/missingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>missingdata</span></a> <a href="https://mastodon.social/tags/imputation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>imputation</span></a></p>
Statistics Globe<p>New video! ▶️</p><p>Handling missing data is a critical aspect of data analysis, and the method you choose can significantly impact the quality and reliability of your results, making it crucial to select wisely.</p><p>Video: <a href="https://www.youtube.com/watch?v=v9rzH0ACLZU" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">youtube.com/watch?v=v9rzH0ACLZU</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/mice" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mice</span></a> <a href="https://mastodon.social/tags/missingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>missingdata</span></a></p>
Statistics Globe<p>New year, new learning format! I'm thrilled to announce the very first interactive online workshop ever conducted at Statistics Globe!</p><p>The Topic: Missing Data Imputation in R</p><p>Click here for more info about the workshop: <a href="https://statisticsglobe.com/online-workshop-missing-data-imputation-r" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/online-wor</span><span class="invisible">kshop-missing-data-imputation-r</span></a></p><p><a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/missingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>missingdata</span></a> <a href="https://mastodon.social/tags/imputation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>imputation</span></a></p>
MICE<p>📊 Struggling with missing data in your analyses? Join our 4-day course 'Advanced Techniques for Handling Missing Data' at <span class="h-card" translate="no"><a href="https://akademienl.social/@utrechtuniversity" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>utrechtuniversity</span></a></span>!</p><p>📅 24–27 Mar 2025<br>📍 Utrecht, NL<br>💶 €730 | 1.5 ECTS</p><p>Learn cutting-edge imputation with {mice} in R. Apply by March 10th!</p><p>🔗 <a href="https://utrechtsummerschool.nl/courses/data-science/advanced-techniques-for-handling-missing-data-in-analysis-and-prediction" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">utrechtsummerschool.nl/courses</span><span class="invisible">/data-science/advanced-techniques-for-handling-missing-data-in-analysis-and-prediction</span></a></p><p><a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/Statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Statistics</span></a> <a href="https://fosstodon.org/tags/MissingData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MissingData</span></a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #201 Missing Data and DAGs and other stuff</p><p>Thoughts: <a href="https://mastodon.social/tags/missingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>missingdata</span></a> is difficult to handle, but maybe if we build theoretical models using <a href="https://mastodon.social/tags/DAGs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DAGs</span></a> will help. Also measurement error. </p><p><a href="https://mastodon.social/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>brms</span></a> <a href="https://mastodon.social/tags/rethinking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rethinking</span></a> <a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>r</span></a> <a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/mice" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mice</span></a> <a href="https://mastodon.social/tags/measurement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>measurement</span></a> <a href="https://mastodon.social/tags/error" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>error</span></a></p><p><a href="https://bookdown.org/content/4857/missing-data-and-other-opportunities.html#measurement-error" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">bookdown.org/content/4857/miss</span><span class="invisible">ing-data-and-other-opportunities.html#measurement-error</span></a></p>
Eric Maugendre<p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/datadon" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>datadon</span></a></span> </p><p>Unfilled cells influence models.<br>"Handling Missing Data in Machine Learning": <a href="https://ml-nn.eu/a1/51.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">ml-nn.eu/a1/51.html</span><span class="invisible"></span></a> by Calin Sandu <span class="h-card" translate="no"><a href="https://mastodon.social/@mlnn" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>mlnn</span></a></span></p><p><a href="https://hachyderm.io/tags/missingData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>missingData</span></a> <a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bias</span></a> <a href="https://hachyderm.io/tags/wealth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>wealth</span></a> <a href="https://hachyderm.io/tags/dataQuality" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataQuality</span></a> <a href="https://hachyderm.io/tags/complexity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>complexity</span></a> <a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataDev</span></a> <a href="https://hachyderm.io/tags/machineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machineLearning</span></a> <a href="https://hachyderm.io/tags/dataPrep" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataPrep</span></a> <a href="https://hachyderm.io/tags/EDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EDA</span></a> <a href="https://hachyderm.io/tags/dataWrangling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataWrangling</span></a></p>
Jan R. Boehnke<p>A <a href="https://mastodon.social/tags/ScopingReview" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScopingReview</span></a> on <a href="https://mastodon.social/tags/MissingData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MissingData</span></a> reporting in observational studies that use <a href="https://mastodon.social/tags/MultipleImputation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MultipleImputation</span></a> for causal effect estimation:<br><a href="https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02302-6" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">bmcmedresmethodol.biomedcentra</span><span class="invisible">l.com/articles/10.1186/s12874-024-02302-6</span></a></p><p>Informative read beyond the particular application.</p><p>As a <a href="https://mastodon.social/tags/NightshiftEditor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NightshiftEditor</span></a> I am still working more on the problem that most studies do not even report their sampling and take it for granted that complete-data only analyses are fine.</p><p>As noted before 😉 <br><a href="https://mastodon.social/deck/@jrboehnke/111153230472611135" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mastodon.social/deck/@jrboehnk</span><span class="invisible">e/111153230472611135</span></a></p>
IB Teguh TM<p>Clean missing data in the Titanic dataset using Python and Pandas! Learn effective data imputation and handling techniques. Perfect for data scientists and analysts. <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a> <a href="https://mastodon.social/tags/MissingData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MissingData</span></a> <a href="https://mastodon.social/tags/TitanicDataset" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TitanicDataset</span></a> <a href="https://mastodon.social/tags/DataCleaning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataCleaning</span></a> <a href="https://mastodon.social/tags/DataImputation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataImputation</span></a></p><p><a href="https://teguhteja.id/clean-missing-data/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">teguhteja.id/clean-missing-dat</span><span class="invisible">a/</span></a></p>

I need to fake some #data. It's for a good cause, I swear! My students (intro #statistics & #researchmethods have "class demonstration" surveys posted but few participants. I'd like them to have a better analysis experience.

My preferred platform is #Rstats

can #mice do a forced single-imputation with, say, 80% #MissingData?

Should I just #bootstrap (or something similar)? If so, any suggestions for which package/procedure?

A couple dozen variables, NOIR.

#Advice?