How to deal with missing data when analyzing research findings

Missing data is not a deal breaker! Use simple strategies to analyze your data even when you are missing some of the values.

Greg Martin, MBA MPH MbBCH MFPHMI
Greg Martin, MBA MPH MbBCH MFPHMI
12th Apr 2023 • 1m read
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The first thing you should do when dealing with missing data is to look at its distribution. If the missing values are randomly distributed, the impact on the final result will be marginal. On the contrary, if the unavailable values follow a pattern, we’ll show you five different strategies you can use to analyze your data.

 

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