##MissingData
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s-greenwood.bsky.social
Gave my first lightning talk for my posters at #ICTMC2024, with many people over the conference saying to me "Oh you are the chocolate one" 🍫

When discussing why missing data matters in trials discussions don't have to be number focused. QR code below 👇🏻

#ClinicalTrials #MissingData #stat
October 4, 2024 at 7:09 PM
dszlosek.bsky.social
Because @laurewynants.bsky.social and @benvancalster.bsky.social do no get on here much #DataScience #MachineLearning #MissingData #Imputation #Rstats #Python #AI journals.plos.org/plosone/arti...
November 23, 2025 at 2:08 PM
bayesana.bsky.social
Ay que ilu! ¡Nuestro artículo sobre selección de variables con datos faltantes está entre los más leídos de BA!
🔗 projecteuclid.org/journals/bay...

En él usamos un enfoque bayesiano para lidiar con la incertidumbre... incluso cuando faltan datos. #MissingData #VariableSelection #Bayesian
September 11, 2025 at 2:24 PM
joachimschork.bsky.social
New year, new learning format! I'm thrilled to announce the very first interactive online workshop ever conducted at Statistics Globe!

The Topic: Missing Data Imputation in R

More info: statisticsglobe.com/online-works...

#statistics #datascience #rstats #missingdata #imputation
January 15, 2025 at 2:25 PM
joachimschork.bsky.social
The image below comes from a recent paper by Grzesiak et al. (2025). For more details and additional results across different data settings, see: arxiv.org/pdf/2511.04833

Dive deeper in my course: statisticsglobe.com/online-cours...

#rstats #statistics #missingdata #datascience
January 23, 2026 at 1:10 PM
csbj.org
🔗 Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. DOI: doi.org/10.34133/csb...

📚 CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

#DataScience #BigData #GraphTheory #ComputationalBiology #Bioinformatics #SystemsBiology #MissingData
🔗 Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0099 📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj
May 24, 2026 at 5:03 PM
respublications.bsky.social
New #OpenAccess research in #RESSystematicEnt

Over-reliance on #Completeness exposes ultraconserved elements datasets to non-randomly distributed missing data
doi.org/10.1111/syen.70024

#UCEs #Phylogenomics #Metrics #MissingData #EntoMethods
@gkergoat.bsky.social @wileyecology.bsky.social
March 3, 2026 at 9:01 AM
joachimschork.bsky.social
Only 3 days left until the start of the Statistics Globe online workshop, Missing Data Imputation in R.

The workshop is limited to 15 participants, so enroll now to secure your spot.

Learn more and sign up here: statisticsglobe.com/online-works...

#rstats #statistics #datascience #missingdata
February 17, 2025 at 10:28 AM
oacarah.bsky.social
academic.oup.com/ije/article/...

#missingdata #DAG #causaldiagram #causalsky #causalinference #episky #statsky #epidemiology #statistics
Assumptions and analysis planning in studies with missing data in multiple variables: moving beyond the MCAR/MAR/MNAR classification
Abstract. Researchers faced with incomplete data are encouraged to consider whether their data are ‘missing completely at random’ (MCAR), ‘missing at rando
academic.oup.com
November 23, 2024 at 1:33 AM
joachimschork.bsky.social
New video! ▶️

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.

Video: www.youtube.com/watch?v=v9rz...

#statistics #datascience #rstats #mice #missingdata
February 4, 2025 at 8:54 AM
stathorizons.bsky.social
Struggling with missing data? Join Paul Allison for "Missing Data Using R", a 4-week on-demand seminar starting Nov. 17. You'll learn maximum likelihood & multiple imputation—two of the most powerful #missingdata solutions using #Rstats.
Missing Data Using R | On-Demand Seminar | Statistical Horizons
Paul Allison, Ph.D., teaches this self-paced course on missing data using R, covering multiple imputation and maximum likelihood for accurate, unbiased results.
statisticalhorizons.com
November 6, 2025 at 2:47 PM
iwashyna.bsky.social
#MissingData are those “neglected to be prioritized, collected, maintained and published despite demands." "Missing data is political,” [Catherine D’Ignazio] says

Quoted in Prof @profcraft.bsky.social
August 28, 2026 at 7:21 PM
nextgreatread.bsky.social
“It is impossible to prove that data is truly missing at random, and it is unlikely that missingness is truly random in most real-world occurrences.”

#BookSky #Books #DataScience #Statistics #MissingData
“It is impossible to prove that data is truly missing at random, and it is unlikely that missingness is truly random in most real-world occurrences.” — from Practical Time Series Analysis by Aileen Nielsen
August 26, 2026 at 10:07 AM
joachimschork.bsky.social
Almost every survey has missing data… but the real question is WHY the data is missing.

I’ve just released a new module on missing data mechanisms in the Statistics Globe Hub: statisticsglobe.com/hub

#statistics #datascience #rstats #missingdata #statisticsglobehub
May 28, 2026 at 9:38 AM
joachimschork.bsky.social
Get one of my other courses for free if you register for my online course on Missing Data Imputation in R by November 19: statisticsglobe.com/online-cours...

#missingdata #imputation #statistics #datascience #rstats
November 14, 2025 at 1:00 PM
mzloteanu.bsky.social
#statstab #510 A Note on Dropping Experimental Subjects who Fail a Manipulation Check

Thoughts: Another paper to consider when "removing participants who failed our manipulation check"🤷‍♂️

#manipulationcheck #estimand #experiment #design #bias #guide #assumptions #missingdata

doi.org/10.1017/pan....
A Note on Dropping Experimental Subjects who Fail a Manipulation Check | Political Analysis | Cambridge Core
A Note on Dropping Experimental Subjects who Fail a Manipulation Check - Volume 27 Issue 4
www.cambridge.org
March 20, 2026 at 2:53 PM
jsinted.bsky.social
A review of missing data reporting practices in the field of internationalization of higher education

Keanen M. McKinley and Christopher M. Swoboda

→ doi.org/10.1177/1028...

#MissingData #ReportingPractices #Internationalization #IntlEd #HigherEd #Surveys #SurveyResearch #DataAnalysis
Image of the title and abstract of the article
May 2, 2025 at 2:16 AM
joachimschork.bsky.social
Next Monday, the Statistics Globe online course on Missing Data Imputation in R will begin.

Check out the course: statisticsglobe.com/online-cours...

#rstats #missingdata #datascience #statistics
November 25, 2025 at 8:15 AM
nerler.bsky.social
🔍 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗮𝗯𝗼𝘂𝘁 𝗵𝗮𝗻𝗱𝗹𝗶𝗻𝗴 #missingdata 𝗶𝗻 𝗹𝗼𝗻𝗴𝗶𝘁𝘂𝗱𝗶𝗻𝗮𝗹 𝘀𝘁𝘂𝗱𝗶𝗲𝘀?
Join Prof. Emmanuel Lesaffre and me on 𝟳 𝗡𝗼𝘃 𝟮𝟬𝟮𝟱 in 𝗣𝗿𝗮𝗴𝘂𝗲 for a one-day course on #𝗕𝗮𝘆𝗲𝘀𝗶𝗮𝗻 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 𝗳𝗼𝗿 𝗠𝗶𝘀𝘀𝗶𝗻𝗴 𝗖𝗼𝘃𝗮𝗿𝗶𝗮𝘁𝗲𝘀 𝗶𝗻 𝗟𝗼𝗻𝗴𝗶𝘁𝘂𝗱𝗶𝗻𝗮𝗹 𝗦𝘁𝘂𝗱𝗶𝗲𝘀.

📅 Register until 31 Oct 2025
🔗 Details: sites.google.com/view/iscb-cz...
#RStats
ISCB ČR - 2025
ISCB Course on Bayesian Methods for Missing Covariates in Longitudinal Studies Czech National Group of the International Society for Clinical Biostatistics, in cooperation with the Institute of Compu...
sites.google.com
October 20, 2025 at 9:03 AM
joachimschork.bsky.social
Mean imputation may seem like a convenient way to handle missing data, but it can introduce serious distortions.

New Statistics Globe Hub module on this topic: statisticsglobe.com/hub

#RStats #RProgramming #Statistics #DataScience #DataAnalysis #MissingData #StatisticsGlobeHub
September 21, 2026 at 7:26 AM
mortonanalytics.bsky.social
Outlier and Missing Data - Should subject matter experts weigh in on the item?

#data #dataEngineering #dataScience #machineLearning #sme #outliers #missingData #rstats #python #sql
September 2, 2025 at 4:24 PM
tyagilab.bsky.social
Good work by @aashishbhandari.com

#digitalhealth #missingdata #machinelearning #predictivemodeling #AIforHealth
March 18, 2025 at 1:45 AM
mzloteanu.bsky.social
#statstab #201 Missing Data and DAGs and other stuff

Thoughts: #missingdata is difficult to handle, but maybe if we build theoretical models using #DAGs will help. Also measurement error.

#brms #rethinking #r #stats #mice #measurement #error

bookdown.org/content/4857...
October 15, 2024 at 12:44 PM
suziecro.bsky.social
How can we implement reference-based multiple imputation to handle #MissingData in #ClinicalTrials for longitudinal binary outcomes?
We explored 2 different approaches. Find out which performed best here: onlinelibrary.wiley.com/doi/10.1002/...
January 24, 2025 at 10:06 AM
jrboehnke.bsky.social
The last few weeks I have used BLIMP for #MissingData analysis and imputation. I cannot stress enough what a delight this is 😊💻👨‍💻

www.appliedmissingdata.com/blimp#usersg...

If you are familiar with the frameworks, their video series makes it also very easy to start:
www.youtube.com/@BlimpVideoS...
Blimp
Blimp 3 offers powerful latent variable modeling and missing data imputation for data sets with up to three levels.
www.appliedmissingdata.com
December 9, 2024 at 10:35 AM