Table 2.

Estimated proportions in low tiers of sex work in two data sets, by estimator.

	Liuzhou data		Shanghai data
	Whole sample^a	Ego network subset^b	Whole sample^a	Ego network subset^b
	(1)	(2)	(3)	(4)
Summary statistics^c
No. of observations	583	310	522	271
Proportion fully assigned		0.803		0.465

Earlier estimators^d
Naïve	0.576	0.584	0.668	0.708
RDS1-SH	0.693	0.695	0.779	0.818
RDS1-DS	0.689	0.695	0.796	0.782
RDS1-DG	0.660	0.684	0.784	0.700
RDS2-VH	0.689	0.695	0.781	0.816
RDS2-SS	0.685	0.693	0.781	0.816

Linked ego networks estimator (RDS1-LEN)^e
Accepted coupons		0.658		0.752
Offered coupons		0.626		0.751
Whole network		0.634		0.815

Notes:

: these columns show the traditional respondent-driven sampling estimators computed on the entire empirical sample; because only respondents who completed follow-up interviews reported on their ego networks, the RDS1-LEN cannot be computed for 273 of the Liuzhou and 251 of the Shanghai cases.

: these columns show the traditional estimators and the RDS1-LEN by type of network reported on the subset of respondents who completed follow-up interviews (see eAppendix).

: rows in this section show summary statistics of interest; “Proportion fully assigned” indicates the proportion of cases in that sample’s follow-up questionnaire reports where we were able to assign 100% of self-reported uninvited network peers to a tier of sex work.

: rows in this section show estimates based on estimators in the literature prior to 2012; for the RDS2-SS estimator, the assumed population sizes of sex workers in Liuzhou and Shanghai were 7,500 and 15,000, respectively.

: rows in this section show estimates obtained using different network types reported on in the follow-up questionnaire and described in the supplemental appendix with the RDS1-LEN estimator.