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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