fauxmadrona: A Simulated RDS Data Set with no seed dependency

In RDS: Respondent-Driven Sampling

A Simulated RDS Data Set with no seed dependency

Description

This is a faux set used to illustrate how the estimators perform under different populations and RDS schemes.

Format

An rds.data.frame

Details

The population had N=1000 nodes. In this case, the sample size is 500 so that there is a relatively small sample fraction (50%). There is homophily on disease status (R=5) and there is differential activity by disease status whereby the infected nodes have mean degree twice that of the uninfected (w=1.8).

In the sampling, the seeds are chosen randomly from the full population, so there is no dependency induced by seed selection.

Each sample member is given 2 uniquely identified coupons to distribute to other members of the target population in their acquaintance. Further each respondent distributes their coupons completely at random from among those they are connected to.

Here are the results for this data set and the sister fauxsycamore data set:

Name	City	Type	Mean	RDS I (SH)	RDS II (VH)	SS
fauxsycamore	Oxford	seed dependency, 70%	0.2408	0.1087	0.1372	0.1814
fauxmadrona	Seattle	no seed dependency, 50%	0.2592	0.1592	0.1644	0.1941

Even with only 50% sample, the VH is substantially biased , and the SS does much better.

Source

The original network is included as fauxmadrona.network as a network object.
The data set also includes the data.frame of the RDS data set as fauxmadrona.
Use data(package="RDS") to get a full list of datasets.

References

Gile, Krista J., Handcock, Mark S., 2010 Respondent-driven Sampling: An Assessment of Current Methodology, Sociological Methodology, 40, 285-327.

See Also

fauxsycamore, faux

RDS documentation built on Aug. 20, 2023, 9:06 a.m.