Statistical data preparation: management of missing values and outliers

Missing values and outliers are frequently encountered while collecting data. The presence of missing values reduces the data available to be analyzed, compromising the statistical power of the study, and eventually the reliability of its results. In addition, it causes a significant bias in the res...

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Bibliographic Details
Main Authors: Kwak, Sang Kyu, Kim, Jong Hae
Format: Online Article Text
Language:English
Published: The Korean Society of Anesthesiologists 2017
Subjects:
Statistical Round
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548942/
https://www.ncbi.nlm.nih.gov/pubmed/28794835
http://dx.doi.org/10.4097/kjae.2017.70.4.407

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548942/
https://www.ncbi.nlm.nih.gov/pubmed/28794835
http://dx.doi.org/10.4097/kjae.2017.70.4.407

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