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Tips to estimate missing data

5 years ago in Data Analysis By Sriya Rawat

PhD Data

While conducting data analysis I noticed that some data are missing. What should I do now? Please provide me some solution. It would be of great help guys.

All Answers (5 Answers In All)

By Ravneet Singh Answered 5 years ago

Sriya, do not worry. You can use multiple imputation techniques to estimate missing data. Multiple imputation estimates the missing data. To determine the uncertainty in those estimates, this technique estimates the values multiple times. Hence you can completely rely on this process.

By Karan D Answered 5 years ago

Hey buddy! You can use maximum likelihood estimation method. This approach does not impute any data, rather uses available data to compute maximum likelihood estimates.

By Madhu B Answered 5 years ago

Use the maximum likelihood method. This is computed separately for the cases with complete data all variables and complete data on a variable. These two are then maximized together to find the right estimates.This method gives unbiased parameter estimates and hence can be relied upon.

By Madhu B Answered 5 years ago

I will also suggest you to use maximum likelihood method. This is because this method does not require the careful selection of variables that are used to impute values as that of multiple imputation method.

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