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    • Syllabus

Missing Data Modeling

  • Lecture Notes for Advanced Quantitative Political Methodology
    • The Basics
    • Theories of Inference
    • Single Equation Models
    • Causal Inference
      • Detecting Model Dependence
      • Matching Methods to Ameliorate Model Dependence
      • Research Designs
    • Multiple Equation Models
      • Analysis Models
      • Missing Data Modeling
    • Text Analysis
      • Supervised Learning
      • Unsupervised Learning
    • Time Series Fundamentals
    • Rare Events
      • Time Invariant Models
      • Time Varying Models
    • Ecological Inference

Problems with listwise deletion, assumptions, general purpose methods, application specific methods, multiple imputation, computational algorithms, a detailed example, Amelia software.

2013 Lecture

  Slides used in class
  Printable version of slides

Final lecture 2013: Big Data is Not About the Data!
  Slides used in class
  Printable version of slides

2012 Lecture

 Lecture 11 Video (2 hrs)
 Slides used in class
 Printable version of slides

2012 Section

 Section12
 Section 12 Slides

2010 Lecture, selections assigned this year:

 Printable slides to accompany videos
 Missing Data Notation and Setup (17:52)
 Why is Listwise Deletion Bad (13:36)
 General Purpose Existing Methods for Missing Data (08:41)
 Application-Specific Methods for Missing Data (11:27)
 Multiple Imputation for Missing Data - Part 1 (06:23)
 Multiple Imputation for Missing Data - Part 2 (15:40)
 Computational Algorithms for Missing Data (15:21)
 Amelia-Style Missing Data Imputation (16:20)

  • Printer-friendly version

Gov2001 Dataverse

Gov2001 Dataverse

Class Outings

Gov 2001 Party, 2012

Gov 2001 Class Party and Mountain Biking 2011

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