Does this imputation with mice() make sense? - Cross Validated
Jan 12, 2026 · I am currently working on my first R project using medical data. I wanted to use MICE imputation for a few variables, and I had a doubt. If, for example, variable BMI had zero missing …
How much missing data is too much? Multiple Imputation (MICE) & R
Apr 30, 2015 · If the imputation method is poor (i.e., it predicts missing values in a biased manner), then it doesn't matter if only 5% or 10% of your data are missing - it will still yield biased results (though, …
missing data - Test set imputation - Cross Validated
Apr 4, 2025 · As far as the second point - people developing predictive models rarely think how missing data occurs in application. You need to have methods for missing values to render useful predictions …
Rubin's rule from scratch for multiple imputations
Jul 12, 2020 · I have multiple set of imputations generated from multiple instances of random forest (such that the predictors are all the variables except the one column to impute). I was referred to …
How should I determine what imputation method to use?
Aug 25, 2021 · What imputation method should I use here and, more generally, how should I determine what imputation method to use for a given data set? I've referenced this answer but I'm not sure what …
normalization - Should data be normalized before or after imputation …
May 26, 2016 · 9 I am working on a metabolomics data set of 81 samples x 407 variables with ~17% missing data. I would like to compare a number of imputation methods to see which is best for my …
How do you choose the imputation technique? - Cross Validated
Apr 27, 2022 · I read the scikit-learn Imputation of Missing Values and Impute Missing Values Before Building an Estimator tutorials and a blog post on Stop Wasting Useful Information When Imputing …
Imputation before or after splitting into train and test?
The main analytic method will be Cox proportional hazards. I plan to use multiple imputation. I will also be splitting into a train and test set. Should I split the data and then impute separately, or impute and …
Multiple Imputation by Chained Equations (MICE) Explained
Jan 20, 2022 · I have seen Multiple Imputation by Chained Equations (MICE) used as a missing data handling method. Is anyone able to provide a simple explanation of how MICE works?
What is the difference between Imputation and Prediction?
Jul 8, 2019 · Typically imputation will relate to filling in attributes (predictors, features) rather than responses, while prediction is generally only about the response (Y). Even if imputation is being used …