#missingdata — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #missingdata, aggregated by home.social.
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🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?
🔗 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
#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData
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🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?
🔗 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
#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData
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🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?
🔗 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
#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData
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🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?
🔗 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
#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData
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🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?
🔗 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
#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData
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Missing [Survey, etc] Data Can Be A Geographic Phenomenon
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https://doi.org/10.1080/24694452.2026.2640220 <-- shared paper
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#GIS #mapping #spatial #DataScience #missing #data #spatial #AAG #autocorrelation #geographicallyweightedregression #GWR #imputation #missingdata #survey #surveynonresponse #incomplete #surveyquestions #ethnicity #income #spatialdata #alldataisspatial #UK #FinancialLives #geography #spatialanalysis #geostatistics #location #imputing #statistics #dataset #DataImputation #MissingData #DataCleaning #DataPreprocessing #DataWrangling #DataQuality #DataEngineering #FinancialData #FinancialAnalytics #FinincialModeling #FinDataScience -
Missing [Survey, etc] Data Can Be A Geographic Phenomenon
--
https://doi.org/10.1080/24694452.2026.2640220 <-- shared paper
--
#GIS #mapping #spatial #DataScience #missing #data #spatial #AAG #autocorrelation #geographicallyweightedregression #GWR #imputation #missingdata #survey #surveynonresponse #incomplete #surveyquestions #ethnicity #income #spatialdata #alldataisspatial #UK #FinancialLives #geography #spatialanalysis #geostatistics #location #imputing #statistics #dataset #DataImputation #MissingData #DataCleaning #DataPreprocessing #DataWrangling #DataQuality #DataEngineering #FinancialData #FinancialAnalytics #FinincialModeling #FinDataScience -
Missing [Survey, etc] Data Can Be A Geographic Phenomenon
--
https://doi.org/10.1080/24694452.2026.2640220 <-- shared paper
--
#GIS #mapping #spatial #DataScience #missing #data #spatial #AAG #autocorrelation #geographicallyweightedregression #GWR #imputation #missingdata #survey #surveynonresponse #incomplete #surveyquestions #ethnicity #income #spatialdata #alldataisspatial #UK #FinancialLives #geography #spatialanalysis #geostatistics #location #imputing #statistics #dataset #DataImputation #MissingData #DataCleaning #DataPreprocessing #DataWrangling #DataQuality #DataEngineering #FinancialData #FinancialAnalytics #FinincialModeling #FinDataScience -
Missing [Survey, etc] Data Can Be A Geographic Phenomenon
--
https://doi.org/10.1080/24694452.2026.2640220 <-- shared paper
--
#GIS #mapping #spatial #DataScience #missing #data #spatial #AAG #autocorrelation #geographicallyweightedregression #GWR #imputation #missingdata #survey #surveynonresponse #incomplete #surveyquestions #ethnicity #income #spatialdata #alldataisspatial #UK #FinancialLives #geography #spatialanalysis #geostatistics #location #imputing #statistics #dataset #DataImputation #MissingData #DataCleaning #DataPreprocessing #DataWrangling #DataQuality #DataEngineering #FinancialData #FinancialAnalytics #FinincialModeling #FinDataScience -
Missing [Survey, etc] Data Can Be A Geographic Phenomenon
--
https://doi.org/10.1080/24694452.2026.2640220 <-- shared paper
--
#GIS #mapping #spatial #DataScience #missing #data #spatial #AAG #autocorrelation #geographicallyweightedregression #GWR #imputation #missingdata #survey #surveynonresponse #incomplete #surveyquestions #ethnicity #income #spatialdata #alldataisspatial #UK #FinancialLives #geography #spatialanalysis #geostatistics #location #imputing #statistics #dataset #DataImputation #MissingData #DataCleaning #DataPreprocessing #DataWrangling #DataQuality #DataEngineering #FinancialData #FinancialAnalytics #FinincialModeling #FinDataScience -
Happy to share my newest writing «Missing Data as Political Force» with you.
While "missing data" is often considered a problem, as in the context of adequate representation, the current authoritarian wave shows that data can offer recognition and oppression. For example, ICE's brutal use of personal data to target individuals with migration backgrounds. Conversely, restricting access to data and services can be employed as political pressure.
To navigate this "paradox of exposure" (as coined by Catherine D'Ignazio and Lauren Klein) and missing data's relational nature (as argued by Alessandra Jungs de Almeida), I draw on theories of social and data justice, namely Bonnycastle’s continuum of social justice and Fraser’s abnormal justice, to show how missing data lies between social equality and oppression and can be analysed based on (mis)distribution, (mis)recognition, and (mis)representation.
- Full Issue: https://www.diid.it/diid/index.php/diid/issue/view/diid-87
- My paper: https://www.diid.it/diid/index.php/diid/article/view/frischknecht
#criticaldatastudies #datactivism #missingdata #politicalforce
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Happy to share my newest writing «Missing Data as Political Force» with you.
While "missing data" is often considered a problem, as in the context of adequate representation, the current authoritarian wave shows that data can offer recognition and oppression. For example, ICE's brutal use of personal data to target individuals with migration backgrounds. Conversely, restricting access to data and services can be employed as political pressure.
To navigate this "paradox of exposure" (as coined by Catherine D'Ignazio and Lauren Klein) and missing data's relational nature (as argued by Alessandra Jungs de Almeida), I draw on theories of social and data justice, namely Bonnycastle’s continuum of social justice and Fraser’s abnormal justice, to show how missing data lies between social equality and oppression and can be analysed based on (mis)distribution, (mis)recognition, and (mis)representation.
- Full Issue: https://www.diid.it/diid/index.php/diid/issue/view/diid-87
- My paper: https://www.diid.it/diid/index.php/diid/article/view/frischknecht
#criticaldatastudies #datactivism #missingdata #politicalforce
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Happy to share my newest writing «Missing Data as Political Force» with you.
While "missing data" is often considered a problem, as in the context of adequate representation, the current authoritarian wave shows that data can offer recognition and oppression. For example, ICE's brutal use of personal data to target individuals with migration backgrounds. Conversely, restricting access to data and services can be employed as political pressure.
To navigate this "paradox of exposure" (as coined by Catherine D'Ignazio and Lauren Klein) and missing data's relational nature (as argued by Alessandra Jungs de Almeida), I draw on theories of social and data justice, namely Bonnycastle’s continuum of social justice and Fraser’s abnormal justice, to show how missing data lies between social equality and oppression and can be analysed based on (mis)distribution, (mis)recognition, and (mis)representation.
- Full Issue: https://www.diid.it/diid/index.php/diid/issue/view/diid-87
- My paper: https://www.diid.it/diid/index.php/diid/article/view/frischknecht
#criticaldatastudies #datactivism #missingdata #politicalforce
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Happy to share my newest writing «Missing Data as Political Force» with you.
While "missing data" is often considered a problem, as in the context of adequate representation, the current authoritarian wave shows that data can offer recognition and oppression. For example, ICE's brutal use of personal data to target individuals with migration backgrounds. Conversely, restricting access to data and services can be employed as political pressure.
To navigate this "paradox of exposure" (as coined by Catherine D'Ignazio and Lauren Klein) and missing data's relational nature (as argued by Alessandra Jungs de Almeida), I draw on theories of social and data justice, namely Bonnycastle’s continuum of social justice and Fraser’s abnormal justice, to show how missing data lies between social equality and oppression and can be analysed based on (mis)distribution, (mis)recognition, and (mis)representation.
- Full Issue: https://www.diid.it/diid/index.php/diid/issue/view/diid-87
- My paper: https://www.diid.it/diid/index.php/diid/article/view/frischknecht
#criticaldatastudies #datactivism #missingdata #politicalforce
-
Happy to share my newest writing «Missing Data as Political Force» with you.
While "missing data" is often considered a problem, as in the context of adequate representation, the current authoritarian wave shows that data can offer recognition and oppression. For example, ICE's brutal use of personal data to target individuals with migration backgrounds. Conversely, restricting access to data and services can be employed as political pressure.
To navigate this "paradox of exposure" (as coined by Catherine D'Ignazio and Lauren Klein) and missing data's relational nature (as argued by Alessandra Jungs de Almeida), I draw on theories of social and data justice, namely Bonnycastle’s continuum of social justice and Fraser’s abnormal justice, to show how missing data lies between social equality and oppression and can be analysed based on (mis)distribution, (mis)recognition, and (mis)representation.
- Full Issue: https://www.diid.it/diid/index.php/diid/issue/view/diid-87
- My paper: https://www.diid.it/diid/index.php/diid/article/view/frischknecht
#criticaldatastudies #datactivism #missingdata #politicalforce
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My Missing Data Imputation in R course is now available as a fully self-paced course, with full access to all materials and recordings, and the option to ask questions at any time in the comment section.
More info: https://statisticsglobe.com/online-course-missing-data-imputation-r
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The image below comes from a recent paper by Grzesiak et al. (2025). For more details and additional results across different data settings, see: https://arxiv.org/pdf/2511.04833
Dive deeper in my course: https://statisticsglobe.com/online-course-missing-data-imputation-r
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We are now in the second week of my course on Missing Data Imputation in R, and the visualization below shows a few of the topics we have already discussed.
You can still join here: https://statisticsglobe.com/online-course-missing-data-imputation-r
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The Statistics Globe online course, "Missing Data Imputation in R," starts tomorrow: statisticsglobe.com/online-cours...
Two free modules:
- Module 1: statisticsglobe.com/online-cours...
- Module 4: statisticsglobe.com/online-cours...
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Next Monday, the Statistics Globe online course on Missing Data Imputation in R will begin.
Check out the course: https://statisticsglobe.com/online-course-missing-data-imputation-r
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Why you shouldn't use listwise deletion when handling missing data. Video tutorial: https://www.youtube.com/watch?v=v9rzH0ACLZU
Check out my course on Missing Data Imputation in R, starting December 1: https://statisticsglobe.com/online-course-missing-data-imputation-r
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Friendly reminder that the Early Bird promotion for the Missing Data Imputation in R course ends today!
More details about the course: https://statisticsglobe.com/online-course-missing-data-imputation-r
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Just a quick reminder that the early bird promotion for my upcoming online course Missing Data Imputation in R ends tomorrow, November 19.
More info and registration: https://statisticsglobe.com/online-course-missing-data-imputation-r
#missingdata #imputation #bias #datascience #rstats #statistics
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Get one of my other courses for free if you register for my online course on Missing Data Imputation in R by November 19: https://statisticsglobe.com/online-course-missing-data-imputation-r
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New online course, starting on December 1, 2025.
Topic: Missing Data Imputation in R
More info: https://statisticsglobe.com/online-course-missing-data-imputation-r
#statistics #datascience #rstats #missingdata #dataanalysis #bias
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Will I, despite all the angst and disappointment, have managed to include a slide about Sampdoria in my talk on missing data, at tomorrow ISPOR conference session?
Come and find out for yourself... 😉
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Will I, despite all the angst and disappointment, have managed to include a slide about Sampdoria in my talk on missing data, at tomorrow ISPOR conference session?
Come and find out for yourself... 😉
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Will I, despite all the angst and disappointment, have managed to include a slide about Sampdoria in my talk on missing data, at tomorrow ISPOR conference session?
Come and find out for yourself... 😉
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Will I, despite all the angst and disappointment, have managed to include a slide about Sampdoria in my talk on missing data, at tomorrow ISPOR conference session?
Come and find out for yourself... 😉
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Another #PeerReview done.
Manuscript c3,000 words
Review c1,400 words
1hr 45minThis was probably the optimal scenario:
Well-structured paper on one standard epidemiological research question and mainly clarifications with view to #STROBE needed
https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0040297I had two suggestions for the Discussion regarding potential causal drivers that the team could not control for but which might be important to consider going forward.
And as usual no information on #MissingData was provided.
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Does anyone have a good resource on planned missingness designs?
#research #missingdata #researchdesign #AskingForAFriend #statistics
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Final reminder: the Statistics Globe online workshop, "Missing Data Imputation in R," starts in just 24 hours!
It would be great if you also took part in the workshop. So if you are interested, please register now: https://statisticsglobe.com/online-workshop-missing-data-imputation-r
Looking forward to seeing you there!
Joachim
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Only 3 days left until the start of the Statistics Globe online workshop, Missing Data Imputation in R.
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.
The workshop is limited to 15 participants, so enroll now to secure your spot.
Learn more and sign up here: https://statisticsglobe.com/online-workshop-missing-data-imputation-r
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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.
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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
Click here for more info about the workshop: https://statisticsglobe.com/online-workshop-missing-data-imputation-r
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📊 Struggling with missing data in your analyses? Join our 4-day course 'Advanced Techniques for Handling Missing Data' at @utrechtuniversity!
📅 24–27 Mar 2025
📍 Utrecht, NL
💶 €730 | 1.5 ECTSLearn cutting-edge imputation with {mice} in R. Apply by March 10th!
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Unfilled cells influence models.
"Handling Missing Data in Machine Learning": https://ml-nn.eu/a1/51.html by Calin Sandu @mlnn#missingData #bias #wealth #dataQuality #complexity #dataDev #machineLearning #dataPrep #EDA #dataWrangling
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Unfilled cells influence models.
"Handling Missing Data in Machine Learning": https://ml-nn.eu/a1/51.html by Calin Sandu @mlnn#missingData #bias #wealth #dataQuality #complexity #dataDev #machineLearning #dataPrep #EDA #dataWrangling
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Unfilled cells influence models.
"Handling Missing Data in Machine Learning": https://ml-nn.eu/a1/51.html by Calin Sandu @mlnn#missingData #bias #wealth #dataQuality #complexity #dataDev #machineLearning #dataPrep #EDA #dataWrangling
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Unfilled cells influence models.
"Handling Missing Data in Machine Learning": https://ml-nn.eu/a1/51.html by Calin Sandu @mlnn#missingData #bias #wealth #dataQuality #complexity #dataDev #machineLearning #dataPrep #EDA #dataWrangling
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Unfilled cells influence models.
"Handling Missing Data in Machine Learning": https://ml-nn.eu/a1/51.html by Calin Sandu @mlnn#missingData #bias #wealth #dataQuality #complexity #dataDev #machineLearning #dataPrep #EDA #dataWrangling
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A #ScopingReview on #MissingData reporting in observational studies that use #MultipleImputation for causal effect estimation:
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02302-6Informative read beyond the particular application.
As a #NightshiftEditor 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.
As noted before 😉
https://mastodon.social/deck/@jrboehnke/111153230472611135 -
A #ScopingReview on #MissingData reporting in observational studies that use #MultipleImputation for causal effect estimation:
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02302-6Informative read beyond the particular application.
As a #NightshiftEditor 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.
As noted before 😉
https://mastodon.social/deck/@jrboehnke/111153230472611135 -
A #ScopingReview on #MissingData reporting in observational studies that use #MultipleImputation for causal effect estimation:
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02302-6Informative read beyond the particular application.
As a #NightshiftEditor 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.
As noted before 😉
https://mastodon.social/deck/@jrboehnke/111153230472611135 -
A #ScopingReview on #MissingData reporting in observational studies that use #MultipleImputation for causal effect estimation:
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02302-6Informative read beyond the particular application.
As a #NightshiftEditor 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.
As noted before 😉
https://mastodon.social/deck/@jrboehnke/111153230472611135 -
A #ScopingReview on #MissingData reporting in observational studies that use #MultipleImputation for causal effect estimation:
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02302-6Informative read beyond the particular application.
As a #NightshiftEditor 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.
As noted before 😉
https://mastodon.social/deck/@jrboehnke/111153230472611135 -
Clean missing data in the Titanic dataset using Python and Pandas! Learn effective data imputation and handling techniques. Perfect for data scientists and analysts. #Python #DataScience #Pandas #MissingData #TitanicDataset #DataCleaning #DataImputation
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Learn to handle missing data in Python using the Titanic dataset and Pandas! Discover effective imputation and cleaning techniques. Ideal for data scientists and analysts. #Python #DataScience #Pandas #MissingData #TitanicDataset #DataImputation
https://teguhteja.id/handling-missing-data-in-the-titanic-dataset/
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Learn to handle missing data in Python using Pandas with the Titanic dataset! Discover effective data cleaning and imputation techniques. Perfect for data scientists and analysts. #Python #DataScience #Pandas #MissingData #DataCleaning #TitanicDataset
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Discover how to handle missing data in Python using the Titanic dataset! Learn essential data wrangling techniques with Pandas, including imputation and deletion. Perfect for data scientists and analysts. #Python #DataScience #Pandas #MissingData #Titanic
https://teguhteja.id/how-to-handle-missing-data-in-python-using-pandas-and-titanic-dataset/