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Marcus' Technical Insight: Generic

Generic Unknown Data Logging Issue: Historical Data Missing

#Generic #Unknown #MissingData

๐Ÿ” Full Report: www.storagefaults.com/generic/unknown/data-log...

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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

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An imputation study shows that missing outcome data can substantially bias pooled estimates in systematic reviews of patient-reported outcomes - PubMed When studies included in a systematic review have missing outcome data, the study results may be biased and therefore misleading. If there is not much missing data, this is not a problem. If there is lots of missing data, it can be a big problem. Researchers have suggested ways of highlighting how m โ€ฆ

Newly published #ImputationStudy demonstrates that #MissingData can often bias pooled estimates in #SystematicReviews (SR) of #PatientReportedOutcomes(#PROs)

pubmed.ncbi.nlm.nih.gov/41461360/

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โš ๏ธ#NewArticle in #SystematicEntomology

Over-reliance on Completeness exposes ultraconserved elements datasets to non-randomly distributed missing data

By Garzรณn-Orduรฑa et al.

Open Access: doi.org/10.1111/syen...

#Phylogenomics #MissingData #Completeness #UCEs #UltraConservedElements

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๐Ÿ” Missing accelerometer data doesn't have to mean missing evidence.
Several imputation approaches in longitudinal studies were evaluated.
Read to learn strategies that outperformed discard-based methods here: doi.org/10.1123/jmpb...

@mbieleke.bsky.social

#accelerometry #missingdata

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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: statisticsglobe.com/online-cours...

#missingdata #statistics #datascience #rstats

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Storage Fault Analysis: Generic

Generic Unknown Data Logging Issue: Historical Data Missing

#Generic #Unknown #MissingData

๐Ÿ” Full Report: www.storagefaults.com/generic/unknown/data-log...

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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: arxiv.org/pdf/2511.04833

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

#rstats #statistics #missingdata #datascience

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Handling Missing Data in R 22-24 April 2026

๐ŸšจNew Course Alert!!
๐ŸงฉHandling Missing Data in R

Join our 3-day hands-on course (22โ€“24 April) to learn how to diagnose missingness (MCAR/MAR/MNAR) & apply modern imputation methods (Multiple Imputation, EM, Soft Impute) in R

www.physalia-courses.org/courses-work...

#Rstats #MissingData

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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: statisticsglobe.com/online-cours...

#missingdata #statistics #datascience #rstats

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A Systematic Survey of the Optimal Strategy for Dealing With Missing Binary Outcomes in Simulation Studies of Randomized Controlled Trials - PubMed Simulation studies address methods to deal with MBOD in RCTs, provided evidence that the MI approach is superior with respect to bias and coverage compared with CCA. Non-model-based single imputation generally performed poorly.

Recent simulation studies: how should #RCTs with binary outcomes address #MissingData? Multiple imputation best, single imputation, complete case less well. Data missing not at random, typical situation, nothing works well. Missing data risks #bias, too bad.

pubmed.ncbi.nlm.nih.gov/40856174/

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NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data. #Statistics #Python #MissingData #HeterogeneousData #Bioinformatics @gigascience.bsky.social ๐Ÿงช๐Ÿงฌ ๐Ÿ–ฅ๏ธ
academic.oup.com/gigascience/...

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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...

#rstats #statistics #datascience #missingdata #imputation

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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

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Why you shouldn't use listwise deletion when handling missing data. Video tutorial: www.youtube.com/watch?v=v9rz...

Check out my course on Missing Data Imputation in R, starting December 1: statisticsglobe.com/online-cours...

#statistics #datascience #rstats #mice #missingdata

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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...

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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: statisticsglobe.com/online-cours...

#missingdata #statistics #datascience #dataanalysis #rstats

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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: statisticsglobe.com/online-cours...

#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: statisticsglobe.com/online-cours...

#missingdata #imputation #statistics #datascience #rstats

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New online course, starting on December 1, 2025.

Topic: Missing Data Imputation in R

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

#statistics #datascience #rstats #missingdata #dataanalysis #bias

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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.

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 imputationโ€”two of the most powerful #missingdata solutions using #Rstats.

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#CochraneDaily Just published! Systematic survey of simulation studies of randomised trials to identify optimal strategies for dealing with missing binary outcome data
onlinelibrary.wiley.com/doi/10.1111/...
#JEBM #RandomisedTrials #RCT #MissingData #RandomisedControlledTrials
@guyattgh.bsky.social

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ISCB ฤŒR - 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...

๐Ÿ” ๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—ฎ๐—ฏ๐—ผ๐˜‚๐˜ ๐—ต๐—ฎ๐—ป๐—ฑ๐—น๐—ถ๐—ป๐—ด #missingdata ๐—ถ๐—ป ๐—น๐—ผ๐—ป๐—ด๐—ถ๐˜๐˜‚๐—ฑ๐—ถ๐—ป๐—ฎ๐—น ๐˜€๐˜๐˜‚๐—ฑ๐—ถ๐—ฒ๐˜€?
Join Prof. Emmanuel Lesaffre and me on ๐Ÿณ ๐—ก๐—ผ๐˜ƒ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ in ๐—ฃ๐—ฟ๐—ฎ๐—ด๐˜‚๐—ฒ for a one-day course on #๐—•๐—ฎ๐˜†๐—ฒ๐˜€๐—ถ๐—ฎ๐—ป ๐— ๐—ฒ๐˜๐—ต๐—ผ๐—ฑ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐— ๐—ถ๐˜€๐˜€๐—ถ๐—ป๐—ด ๐—–๐—ผ๐˜ƒ๐—ฎ๐—ฟ๐—ถ๐—ฎ๐˜๐—ฒ๐˜€ ๐—ถ๐—ป ๐—Ÿ๐—ผ๐—ป๐—ด๐—ถ๐˜๐˜‚๐—ฑ๐—ถ๐—ป๐—ฎ๐—น ๐—ฆ๐˜๐˜‚๐—ฑ๐—ถ๐—ฒ๐˜€.

๐Ÿ“… Register until 31 Oct 2025
๐Ÿ”— Details: sites.google.com/view/iscb-cz...
#RStats

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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.

Join "Missing Data Using R" with Paul Allison starting Nov. 17. This 4-week on-demand seminar covers the theory and practice of maximum likelihood and multiple imputation, two of the latest and most accurate methods to handle #missingdata, all using #Rstats.

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Pattern-by-Pattern Logistic Regression Boosts Missing-Value Predictions

Pattern-by-Pattern Logistic Regression Boosts Missing-Value Predictions

Pattern-by-Pattern (PbP) fits a logistic model for each missingness patternโ€”three modelsโ€”and outperforms imputation on Gaussianโ€‘mixture data. Read more: getnews.me/pattern-by-pattern-logis... #patternbypattern #logisticregression #missingdata

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Ay que ilu! ยกNuestro artรญculo sobre selecciรณn de variables con datos faltantes estรก entre los mรกs leรญdos de BA!
๐Ÿ”— projecteuclid.org/journals/bay...

En รฉl usamos un enfoque bayesiano para lidiar con la incertidumbre... incluso cuando faltan datos. #MissingData #VariableSelection #Bayesian

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Outlier and Missing Data - Should subject matter experts weigh in on the item?

#data #dataEngineering #dataScience #machineLearning #sme #outliers #missingData #rstats #python #sql

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Missing data in R, dplyr

Missing data in R, dplyr

In R, with colSums(is.na(df))

```R
sapply(df, function(x) sum(is.na(x)))
```

#R #missingData #tidyverse

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Data visualisation helps identifying trend and correlation.

Example, all recorded orders from last month have missing delivery dates. And the visualisation made it obvious!

#datavisualization #missingvalues #missingdata

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Missing data, use heatmap with missingno Python library

Missing data, use heatmap with missingno Python library

When data are missing (very common and quite often unavoidable occurrence), you can use data visualisations (e.g. heatmaps with โ€œmissingnoโ€ in Python. And Naniar/VIM in R) or simple summary tables to highlight the gaps

#missingData #DataVisualisation #heatmaps

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