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Hello
I've been using the cmest function with multiple imputation for a survival outcome and multiple mediators. I was wondering if there is any way in the package to present the outcome regression…
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Patsy's stateful transforms can be or are data dependent.
main question: how can we get a comparable parameterization if we work with different datasets, e.g. subsets or different completed sets in m…
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## Problem
Match prediction is an intensive process.
It is also deterministic: same input will result in same output.
Thus caching calculations could save on computation.
Input for match prediction:
…
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Both `adjustedsurv` and `adjustedcif` support multiple imputation via `mids` objects. However, the current variance estimator is not consistent and does not use Rubin's rules. Both functions currently…
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Does the automatic pool() function count a random effect (e.g., a random intercept) as a parameter in calculating the degrees of freedom for a mixed model? I ask because I would like to manually pool…
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~~regarder dans le collection chorus-line-old si c'était déjà présent~~
présent dans chorus-line-save donc c'est bien une régression V0004
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Imputation takes 14.5 hours on a Fargate container with 4096 CPU units and 8GB of RAM. Need to kick off an imputation, then log into the container and take a look at its memory and CPU pressure. Also …
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When using mice multiple imputation to generate multiple imputed sets and then running a model on each one of them (like elastic-net from the `glmnet` package) and then pooling the estimates to a sing…
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We are trying to implement proBatch into our data analysis pipelines, but our data has a lot of NAs. We've found that batch correction only works when we filter out peptides containing NAs which leav…
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https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/UA5GTO
(Edited by Arthur)Paper: https://pubmed.ncbi.nlm.nih.gov/35723836/