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1answer
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How to do regression with error in variables and known correlations among the errors?

After the very satisfying answer to: How to do regression with known correlations among the errors? I take the question to my next point of interest: What can you do when you have a regression with ...
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0answers
146 views

Regression model with heteroskedasticity in both variables

I've been learning (lurking) from this site for a while and I finally have a question I haven't seen answered yet. I'm doing a flight test and trying to fit the resulting data to linear line. From a ...
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Binary regression with error-in-variables

I try to predict the binary, dependent variable $Y$ using a single predictor $X$. $X$ contains some amount of error, due to measurement problems. I would like to come up with a model for $X$, e.g. ...
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When submitting analyses to FDA how does using R affect issues of software validation?

I have worked on clinical trials in FDA submissions for many years. I use SAS almost exclusively. Recently I discussed a consulting job I had to bootstrap a Deming regression. Bootstrapping is much ...