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380.712.01
Methods in Analysis of Large Population Surveys

Location:
East Baltimore
Term:
4th term
Department:
Population, Family and Reproductive Health
Credits:
3 credits
Academic Year:
2021 - 2022
Instruction Method:
TBD
Class Times:
  • Monday,  3:30 - 5:20pm
Lab Times:
  • Wednesday,  3:30 - 4:20pm
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Contact:
Saifuddin Ahmed
Resources:
Prerequisite:

140.640 or consent of instructor

Description:

Introduces the practical aspects of design and analysis of large sample surveys. Covers statistical issues of complex surveys involving stratification and clustering, methods of handling missing data, weighting, sample size estimation and allocation, design-based analysis of frequency tables and multivariate methods for complex surveys. Emphasizes applied, rather than theoretical derivation.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Take survey design into consideration during analysis and perform design-based analyses of data from complex surveys, such as multistage national surveys
  2. Estimate variances with Taylor linearizations, jackknife, and bootstrapping methods in univariate and multivariate statistics
  3. Explain advantages and disadvantages and apply design weights
  4. Examine data missingness patterns and use appropriate imputation methods for missing data
  5. Compare and contrast design-based analyses to multilevel and marginal models for addressing intraclass correlation and design-effects
Methods of Assessment:

This course is evaluated as follows:

  • 60% Lab Assignments
  • 40% Final Project

Instructor Consent:

No consent required

Jointly Offered With: