Web Reference: Feb 1, 2024 · What are missing data and why should we care about them? Missing data are data that we planned to collect to answer a research question, such as participant characteristics at the start of the study or their health outcomes after receiving some treatments, but for some reason we were not able to. Learn about missing data in statistics, a common occurrence that can affect the validity of conclusions. Find out the differences between missing completely at random, missing at random and missing not at random, and how to deal with missing data using imputation, omission or analysis. Missing data can reduce the statistical power of a study and can produce biased estimates, leading to invalid conclusions. This manuscript reviews the problems and types of missing data, along with the techniques for handling missing data.
YouTube Excerpt: ai #ml #datascience #data #machinelearning #artificialintelligence This video covers the three main types of
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