I am from social science background and looking for some material that sums up data imputation methods in one reading material. The articles that I found describe the common methods used but I would like to know how the method was done. Thanks!
Hi Nurhanis Syazni Roslan ,
I recommend the following Article from Florian Meinfelder as a good start into the topic:
Article Multiple Imputation: an attempt to retell the evolutionary process
Best
JPBurgard
https://bookdown.org/mwheymans/bookmi/single-missing-data-imputation.html
https://towardsdatascience.com/missing-data-and-imputation-89e9889268c8
https://thomasleeper.com/Rcourse/Tutorials/mi.html
https://www.researchgate.net/profile/Brandford_Bervell2/post/How_can_we_handle_missing_data_in_cross_sectional_study/attachment/5c3f1ac23843b0067550d8c3/AS%3A715666046869504%401547639490015/download/2014Article.pdf
I highly recommend this article which discusses the dangers of imputation, mean imputation in particular. http://people.oregonstate.edu/~acock/missing/working%20with%20missing%20values.pdf
Thank you Edward G. Brown , Jan Pablo Burgard and Cristian Ramos-Vera for the reading materials. Did helps me to start focused reading
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