Main

processing priority

4

site type

3 (personal blog or private political site, e.g. Blogspot, Substack, also small blogs on own domains)

review version

11

html import

20 (imported)

Events

first seen date

2024-03-15 14:37:57

expired found date

-

created at

2024-06-19 18:12:59

updated at

2026-02-01 03:36:30

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Connections

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Error counters

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Server

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Mainpage statistics

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mp rejected date

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mp inner links status

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Open Graph

title

Missing Data

description

With new software to help you figure it out

image

site name

Missing Data

author

updated

2025-12-29 14:53:26

raw text

Missing Data – Software, advice, and research on handling data with missing values Skip to content Open Menu Maximum likelihood Why maximum likelihood is better than multiple imputation Multiple imputation When multiple imputation is better than maximum likelihood How many imputations do you need? Contact Search Search for: Close Missing Data Software, advice, and research on handling data with missing values How many imputations do you need? by Paul von Hippel January 9, 2018 When using multiple imputation, you may wonder how many imputations you need. A simple answer is that more imputations are better. As you add more imputations, your estimates get more precise , meaning they have smaller standard errors. And your estimates get more replicable, meaning they would not change too much if you imputed the data again. There are limits, though. No matter how many imputations you use, multiple imputation estimates can never be more precise or replic...

Text analysis

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RSS

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Sitemap

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