I have been working for >10 years on missing data.
My passion for data science mainly comes from its transversality: as a statistician, we can interact with so many scientific fields!
With missing data the same is true but within statistics, as it can pop up in all its branches.
My passion for data science mainly comes from its transversality: as a statistician, we can interact with so many scientific fields!
With missing data the same is true but within statistics, as it can pop up in all its branches.
When I first meet a scientist for a new project, I always start the conversation by asking “Show me the data!” to understand the underlying challenges.
So far, I have never been shown a complete dataset... (of course there might be some bias!).
So far, I have never been shown a complete dataset... (of course there might be some bias!).
With @imkemay, Aude Sportisse, @nj_tierney and @Natty_V2, we created the Rmistatic platform rmisstastic.netlify.app, to organize all the resources (courses, tutorials, articles, software, etc.) and implement analysis pipelines with missing data in R/Python.
@imkemay @nj_tierney @Natty_V2 Feel free to use it!
We welcome any contribution or suggestions.
Tomorrow, I’ll give personal feedback and advice on how to handle missing data.
We welcome any contribution or suggestions.
Tomorrow, I’ll give personal feedback and advice on how to handle missing data.
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