kenneth Frank

[kenneth Frank @kenfrank20]

I'm excited to teach this. Hope to see you there!

[ICPSR Summer Program @ICPSRSummer]

Refine your data inference skills in "Sensitivity Analysis: Quantifying the Robustness of Inferences to Alternative Factors or Data"! Change "Have you controlled for X” to “How strong would X have to be to change our mind?”

Register now! https://t.co/R3uA2zzhIK

#ICPSR #SumProg

[kenneth Frank @kenfrank20]

I'm excited for this course! For anyone who has ever considered the question "But have you controlled for ..."

[ICPSR Summer Program @ICPSRSummer]

Ready to refine your data inference skills? 🔢📝

In "Sensitivity Analysis: Quantifying the Robustness of Inferences to Alternative Factors or Data" you will quantify the strength of evidence in a study!

Register now! https://t.co/i4TSDmoOTt

#ICPSR #SumProg #SensitivityAnalysis

[kenneth Frank @kenfrank20]

@ICPSRSummer I'm excited for the course. For anyone who has ever considered the question: "But have you controlled for ...."

[kenneth Frank @kenfrank20]

This is a virtual format for easy accessibility

[kenneth Frank @kenfrank20]

I am excited to give a workshop July 28-Aug 1 with ICPSR. Hope to see you there!

Sensitivity Analysis: Quantifying the Robustness of Inferences to Alternative Factors or Data: https://t.co/BqQbI5smje

[kenneth Frank @kenfrank20]

This is a virtual format for easy accessibility

[kenneth Frank @kenfrank20]

I am excited to give a workshop July 28-Aug 1 with ICPSR. Hope to see you there!

Sensitivity Analysis: Quantifying the Robustness of Inferences to Alternative Factors or Data: https://t.co/BqQbI5smje

[kenneth Frank @kenfrank20]

check out the 1st hour of my "Sensitivity Analysis for Causal Inference" seminar on YouTube: https://t.co/rm35WIpNZV . Join the full seminar Mar. 5-6 to dive deeper into techniques to quantify the robustness of inferences. https://t.co/JpxRnj19tt

[Statistical Horizons @StatHorizons]

Curious about #sensitivityanalysis in #causalinference? Watch the 1st hour of @kenfrank20’s "Sensitivity Analysis for Causal Inference" seminar on YouTube. Join the full seminar Mar. 5-6 to dive deeper into robust inference techniques. https://t.co/oOYpFcI2aU

[kenneth Frank @kenfrank20]

Happy holidays! We have released new versions of the konfound package for statistical sensitivity analysis in R (1.0.2) and in Stata. Full announcement including new features and capabilities is here: https://t.co/YYrPzC7gWS .

[kenneth Frank @kenfrank20]

And be sure to check out the konfound-it Podcast (https://t.co/yqtouilUAC)!

[kenneth Frank @kenfrank20]

@NateSilver538 Or, to change the inference, one would have to replace about a third of the states (13) with states for which there was no effect of inflation on voting preference.
For details, including R and Stata code, go here.

[kenneth Frank @kenfrank20]

@NateSilver538 https://t.co/Eq1sUIQjFl

[kenneth Frank @kenfrank20]

@NateSilver538 Or, to change the inference, one would have to replace about a third of the states (13) with states for which there was no effect of inflation on voting preference.
For details, including R and Stata code, go here.

[kenneth Frank @kenfrank20]

@NateSilver538 Or, to change the inference, one would have to replace about a third of the states (13) with states for which there was no effect of inflation on voting preference.
For details, including R and Stata code, go here: https://t.co/Eq1sUIQjFl

[kenneth Frank @kenfrank20]

@NateSilver538 Nate mentions that there may be confounders that are unobserved. An omitted variable would have to be correlated at about .4 with inflation and with preference for Trump to nullify statistical significance.

[kenneth Frank @kenfrank20]

39: What Would it Take to Change an Inference? Sensitivity Analysis to Inform Innovation in the Future (16493) https://t.co/v3jM9qmPKG #AOM2024

[kenneth Frank @kenfrank20]

I will be teaching an ICPSR Summer Workshop, "Sensitivity Analysis: Quantifying the Robustness of Inferences to Alternative Factors or Data", https://t.co/7BwKKUcPOL.... July 8-12, 2024. Hybrid (virtual, FtF in Ann Arbor, MI, with asynchronous access to materials).

[kenneth Frank @kenfrank20]

Most social scientists need to consider the unobserved conditions that could change an inference.

[kenneth Frank @kenfrank20]

This workshop is about the statistical tools (R, Stata or the konfound-it app https://t.co/Eq1sUIQjFl) to do just that, quantifying the strength of evidence to inform policy, practice, or general social science.