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Table 1 Population and mean sample characteristics for each simulated population

From: Unweighted regression models perform better than weighted regression techniques for respondent-driven sampling data: results from a simulation study

Population Population characteristics Mean sample characteristics Sampling correlationa
Prevalence Homophily Odds ratio Relative risk Degree Number of waves Recruits per seed
1 10% 1.00 7.59 2.86 44.4 8.4 57.5 0.899
2 10% 1.10 7.65 2.88 43.5 8.3 57.2 0.895
3 10% 1.25 7.22 2.84 44.2 8.4 57.0 0.900
4 10% 1.50 6.93 2.85 43.7 8.3 56.9 0.896
5 30% 1.00 7.47 2.05 43.8 8.1 55.9 0.896
6 30% 1.10 7.56 2.05 43.4 8.1 55.6 0.891
7 30% 1.25 7.47 2.05 44.4 8.2 55.9 0.894
8 30% 1.50 7.59 2.06 44.2 8.2 56.3 0.894
9 50% 1.00 7.47 1.68 43.6 8.2 55.6 0.890
10 50% 1.10 7.55 1.68 43.5 8.1 55.6 0.890
11 50% 1.25 7.50 1.69 44.2 8.2 55.3 0.892
12 50% 1.50 7.51 1.69 44.0 8.2 55.9 0.893
  1. aCorrelation between network degree and sampling frequency