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Intro
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Classroom Contents
Recent Developments in Respondent-Driven Sampling
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- 1 Intro
- 2 Surveying hidden populations
- 3 Respondent-Driven Sampling
- 4 The Engage study
- 5 Tree representation of the sample
- 6 Main challenges
- 7 RDS: sampling over a network
- 8 Post-recruitment adjustments
- 9 Finite population inference for RDS
- 10 Regression methods for RDS: challenges
- 11 Regression methods for RDS: review
- 12 Model setup
- 13 The underlying, data-generating model
- 14 Fitting the model to the observed data
- 15 To weight or NOT to weight?
- 16 Latest publication on RDS regression
- 17 Overview & review
- 18 The neighborhood bootstrap
- 19 Discussion
- 20 References
