Overview Brief: A presentation by Russell Barbour, Ph.D., Center for Interdisciplinary Research on AIDS at Yale University.

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  • A presentation by Russell Barbour, Ph.D., Center for Interdisciplinary Research on AIDS at Yale University.

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Multiple imputation in Stata®: Linear regression
Multiple imputation in Stata®: Logistic regression
Multiple imputation in Stata®: Predictive mean matching
[METHODS] Addressing Missing Data Using Multilevel Multiple Imputation Strategies
Handling missing values in Stata using Multiple imputation in Panel Data#Part2_2023
Handling Missing Data in Longitudinal Studies Using Multiple Imputation (ICE) in Stata Explained
Stata | Missing Values | How to find them and how to treat missing values
Multiple regression using STATA video 6 identifying influential cases
Making Statistics Accessible - Multiple Imputation As An Approach to Missing Data
New in Stata 14: Regression models for fractional data
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Explore Topic Paths
Multiple imputation in Stata®: Linear regression

Multiple imputation in Stata®: Linear regression

Read more details and related context about Multiple imputation in Stata®: Linear regression.

Multiple imputation in Stata®: Logistic regression

Multiple imputation in Stata®: Logistic regression

Read more details and related context about Multiple imputation in Stata®: Logistic regression.

Multiple imputation in Stata®: Predictive mean matching

Multiple imputation in Stata®: Predictive mean matching

Read more details and related context about Multiple imputation in Stata®: Predictive mean matching.

[METHODS] Addressing Missing Data Using Multilevel Multiple Imputation Strategies

[METHODS] Addressing Missing Data Using Multilevel Multiple Imputation Strategies

Read more details and related context about [METHODS] Addressing Missing Data Using Multilevel Multiple Imputation Strategies.

Handling missing values in Stata using Multiple imputation in Panel Data#Part2_2023

Handling missing values in Stata using Multiple imputation in Panel Data#Part2_2023

Read more details and related context about Handling missing values in Stata using Multiple imputation in Panel Data#Part2_2023.

Handling Missing Data in Longitudinal Studies Using Multiple Imputation (ICE) in Stata Explained

Handling Missing Data in Longitudinal Studies Using Multiple Imputation (ICE) in Stata Explained

Read more details and related context about Handling Missing Data in Longitudinal Studies Using Multiple Imputation (ICE) in Stata Explained.

Stata | Missing Values | How to find them and how to treat missing values

Stata | Missing Values | How to find them and how to treat missing values

Read more details and related context about Stata | Missing Values | How to find them and how to treat missing values.

Multiple regression using STATA video 6 identifying influential cases

Multiple regression using STATA video 6 identifying influential cases

Video continues review from video 5 on identifying influential cases. Specifically reviews use of DFBETAs in

Making Statistics Accessible - Multiple Imputation As An Approach to Missing Data

Making Statistics Accessible - Multiple Imputation As An Approach to Missing Data

A presentation by Russell Barbour, Ph.D., Center for Interdisciplinary Research on AIDS at Yale University.

New in Stata 14: Regression models for fractional data

New in Stata 14: Regression models for fractional data

Read more details and related context about New in Stata 14: Regression models for fractional data.