#statstab #319 Small Sample Size Solutions [book]
Thoughts: This should just be the default text for psychologists, as most research fits the "small sample" label.
#smallsample #book #guide #bayesian #permutation #sem #metaanalysis #nof1 #missingdata
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
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
New video! βΆοΈ
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.
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
π Struggling with missing data in your analyses? Join our 4-day course 'Advanced Techniques for Handling Missing Data' at @utrechtuniversity!
π
24β27 Mar 2025
π Utrecht, NL
πΆ β¬730 | 1.5 ECTS
Learn cutting-edge imputation with {mice} in R. Apply by March 10th!
#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
https://bookdown.org/content/4857/missing-data-and-other-opportunities.html#measurement-error
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
A #ScopingReview on #MissingData reporting in observational studies that use #MultipleImputation for causal effect estimation:
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02302-6
Informative 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 π
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
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/
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
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/
#statstab #105 The Importance of Missing Data
Thoughts: "The best solution to handle missing data is to have none" R.A. Fisher. A nice quick overview of various types and some solutions.
And now we return from our irregularly scheduled scholarly rabbit-hole to actually put words on paper instead of chasing casually dropped details mentioned by a previous scholarly source only in passing without footnotes or citations of any sort whatsoever
#AmWriting #MissingData #ScholarlyFollowup #SoManyDetails #Frustrated #AcademicChatter
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.
New post! naniar version 1.1.0 "Prince Caspian"
https://www.njtierney.com/post/2024/03/04/naniar-version-1-1-0-prince-caspian/
Another #R code bit:
"Profile-likelihood based confidence intervals in Sample Selection models"
Looking forward to #NeurIPS2023 next week!
I'll present our paper "Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data" that was recently published at @jmlr. If you're interested in making probabilistic ML work with #missingdata then let's chat!
