Quantitude

S1E16: Missing Data: (IF EPISODE=16 THEN EPISODE=-999)

Feb 25, 2020

01:02:10

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Episode notes

Introduction

2min

The Importance of Missing Data

2min

The Problem With Missing Data

2min

How to Deal With Missing Data

2min

How to Avoid Missing Data in Long-Term Studies

5min

The Language of Missing Data Mechanisms

3min

The Paradox of Missing at Random

4min

The Beauty of Tautological Cycles

4min

The Importance of External Validity in Modeling

2min

10.

Multiple Imputation and Full Information Maximum Probability

4min

11.

The Pros and Cons of Multiple Imputation

4min

12.

How to Fit a Model to Different Subsets of Data

4min

13.

The Importance of Maximum Probability in FIML

2min

14.

The Importance of Auxiliary Variables in a Model

3min

15.

Auxiliary Variables in a Longitudinal Model

3min

16.

The Importance of Describe the Nature of the Missing Data

3min

17.

How to Estimate Conditional Likelihood in a Multi-Level Model

3min

18.

How to Avoid Missing Data in a Grant Proposal

4min

19.

The Future of Missing Data

3min

20.

The Five Way Interaction

2min

In Episode 16 of Quantitude, Patrick and Greg have more fun than is probably socially acceptable when talking about missing data. In addition to embracing the Zen-like paradox of "the presence of missing data," they also discuss West Point, "is" versus "are," middle school English teachers, relentless tenacity, talking narwhals, being completely pregnant, taking in shows at Cat's Cradle, circus tents, and books by Richard Bachman.

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