New answers tagged missing-data
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Good references on learning how to deal with missing data/imputation
I have to vote against Carpenter and Kenward. The second edition, especially, is a disaster. Full of mistakes, typos, longwinded unclear explanations that overcomplicate and mislead. It should never ...
1
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Accepted
Handling a very informative feature with significant missing values
Indeed even in regression methods, this is a classic case of dealing with an informative but missing-not-at-random (MNAR) feature in a regression setting. The key challenge is to balance the richness ...
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Reverse Coding Likert Data for Cronbach's Alpha
You should reverse code the items based on their content and relation to other variables, not whether the wording is negative or positive. Suppose you had two questions (out of a longer survey):
How ...
- 128k
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Data observed with multiple but unpaired/unmatching observations
The approach from this answer to another question seems directly applicable: You assume that there's true latent underlying $y_i$ and $x_i$ for the $i=1,\ldots,N$, on which the regression relationship ...
- 35.2k
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Estimating missing zero class probability using a zero-truncated negative binomial (polya) distribution
I have derived the solution for the Negative-Binomial case, but using the standard notation, using as pdf for $x$
$$f(x|r,p)={x+r-1 \choose x} p^x (1-p)^r$$
which gives me for the conditional ...
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3
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How much missing data in the output variable is OK when using Linear Mixed Models?
Anna,
You have asked related questions about this same situation already. The advice given in both threads has been the same - the linear mixed model can accommodate the missing data you have. It is ...
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0
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Paired sample (data) with unequal sample size
It's potentially misleading depending on how it's presented - I would say reporting multiple statistical parameters within the same set of parenthesis alongside a p-value suggests a single statistical ...
- 10.4k
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Paired sample (data) with unequal sample size
I don't necessarily think reporting the sample sizes or descriptives in this way is bad in and of itself. As an example, suppose there is a substantial difference in Time 1 and Time 2 complete cases. ...
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