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Censor-inflated normal model with ran... |
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R McDowell posted on Wednesday, August 17, 2016 - 9:08 am
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Hello. I wish to explore fitting a censor-inflated normal model to clustered data in which there is a random slope for predictor A of outcome Y, and for which there appear to be an excess of 0 values in Y than would otherwise be expected. Before inflation I would specify (for censored outcome Y, censored below): censored Y(b); %within% slope1 | Y on A; slope1 on B C; %between% Y slope1; Y with slope1; Can you advise whether a censored-inflated model makes conceptual sense? Is it necessary to have a random slope for predictor A in the predictor of the inflation part of the model, or could it simply be a fixed effect? Many thanks for anyone's advice/input. |
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Q1. Yes it makes sense. Q2. No. Q3. Yes. |
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