| Model | Weight | Clusters | Ψ | SE Adj. | Error | Coverage | Bias (mean %) | Bias (median %) | Accuracy (%) |
---|---|---|---|---|---|---|---|---|---|---|
Logistic Regression | ||||||||||
 Generalised Linear Models | ||||||||||
  glm(R) | 1 | – |  |  |  | 0.04 | 0.954 | 2.07 | −1.63 | 88.1 |
2 | RDS-II | Â | Â | Â | 0.55 | 0.442 | 20.89 | 8.51 | Â | |
3 | – | R-y |  |  | 0.04 | 0.955 | 3.35 | −0.48 | 88.6 | |
4 | RDS-II | R-y | Â | Â | 0.55 | 0.443 | 25.56 | 11.57 | Â | |
  surveylogistic (SAS) | 5 | – |  |  |  | 0.05 | 0.952 | 2.07 | −1.63 | 88.1 |
6 | RDS-II | Â | Â | Â | 0.07 | 0.903 | 20.88 | 8.51 | Â | |
7 | – |  |  | Morel | 0.05 | 0.953 | 2.07 | −1.63 | 88.1 | |
8 | RDS-II | Â | Â | Morel | 0.07 | 0.904 | 20.88 | 8.51 | Â | |
9 | RDS-II | RwS | Â | Â | 0.07 | 0.903 | 20.88 | 8.51 | Â | |
10 | RDS-II | RwS | Â | Morel | 0.07 | 0.904 | 20.88 | 8.51 | Â | |
 Generalised Linear Mixed Models | ||||||||||
  glmer(R) | 11 | – | S | U |  | 0.05 | 0.954 | 3.48 | −0.46 | 88.1 |
12 | RDS-II | S | U | Â | 0.55 | 0.402 | 44.55 | 26.73 | Â | |
  glimmix (SAS) | 13 | – | S | AR |  | 0.04 | 0.955 | 3.45 | −0.34 | 88.1 |
  glimmix (SAS) | 14 | – | R | CS |  | 0.04 | 0.957 | 2.4 | −1.19 | 88.1 |
  glmmPQL(R) | 15 | – | S | DC | 0.04 | 0.865 | −0.86 | −6.34 |  | |
 Generalised Estimating Equations | ||||||||||
  geeglm(R) | 16 | – | R | I | Classical | 0.13 | 0.952 | 2.07 | −1.63 |  |
17 | RDS-II | R | I | Classical | 0.16 | 0.902 | 20.89 | 8.51 | Â | |
  glimmix (SAS) | 18 | – | S | AR |  | 0.04 | 0.939 | 1.85 | −1.69 |  |
19 | – | R | CS |  | 0.04 | 0.937 | 2.52 | −1.75 |  | |
20 | – | R | CS | Classical | 0.05 | 0.948 | 2.52 | −1.75 |  | |
21 | – | R | CS | FIRORES | 0.05 | 0.950 | 2.52 | −1.75 | 88.1 | |
22 | – | R | CS | FIROEEQ | 0.05 | 0.951 | 2.52 | −1.75 | 88.1 | |
23 | – | R | CS | MBN | 0.05 | 0.950 | 2.52 | −1.75 |  | |
Poisson Regression | ||||||||||
 Generalised Linear Models | ||||||||||
  glm(R) | 24 | – |  |  |  | 0.02 | 0.962 | 4.81 | 4.15 | 86 |
  glm(R) | 25 | RDS-II |  |  |  | 0.49 | 0.457 | 9.48 | 8.23 |  |
  glm(R) | 26 | – | R-y |  |  | 0.02 | 0.964 | 3.06 | 2.44 | 86.3 |
  glm(R) | 27 | RDS-II | R-y |  |  | 0.47 | 0.493 | 7.74 | 6.46 |  |
 Generalised Linear Mixed Models | ||||||||||
  glmer(R) | 28 | – | S | U |  | 0.02 | 0.963 | 4.92 | 4.27 | 86 |
29 | RDS-II | S | U | Â | 0.47 | 0.431 | 11.71 | 10.42 | Â | |
 Generalised Estimating Equations | ||||||||||
  geeglm(R) | 30 | – | R | I | Classical | 0.13 | 0.859 | 4.81 | 4.15 |  |
31 | RDS-II | R | I | Classical | 0.17 | 0.781 | 9.48 | 8.23 | Â |