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Methods in Analysis of Large Population Surveys

East Baltimore
4th Term
Population, Family and Reproductive Health
Academic Year
2022 - 2023
Instruction Method
Class Time(s)
Monday, 3:30 - 5:20pm
Lab Times
Wednesday, 3:30 - 4:20pm (01)
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Saifuddin Ahmed
Contact Email
Frequency Schedule
Every Year
Next Offered
2024 - 2025

140.640 or consent of instructor

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
Jointly Offered With