Team | Distribution | Treatment of nonindependence | Number of covariates | Analytics Approach | OR |
1 | Linear | Clustered standard errors | 7 | Ordinary least squares regression with robust standard errors, logistic regression | 1.18 [0.95, 1.41] |
6 | Linear | Clustered standard errors | 6 | Linear probability model | 1.28 [0.77, 2.13] |
14 | Linear | Clustered standard errors | 6 | Weighted least squares regression with clustered standard errors | 1.21 [0.97, 1.46] |
4 | Linear | None | 3 | Spearman correlation | 1.21 [1.20, 1.21] |
11 | Linear | None | 4 | Multiple linear regression | 1.25 [1.05, 1.49] |
10 | Linear | Variance component | 3 | Multilevel regression and logistic regression | 1.03 [1.01. 1.05] |
2 | Logistic | Clustered standard errors | 6 | Linear probability model, logistic regression | 1.34 [1.10, 1.63] |
30 | Logistic | Clustered standard errors | 3 | Clustered robust binomial logistic regression | 1.28 [1.04, 1.57] |
31 | Logistic | Clustered standard errors | 6 | Logistic regression | 1.12 [0.88, 1.43] |
32 | Logistic | Clustered standard errors | 1 | Generalized linear models for binary data | 1.39 [1.10, 1.75] |
8 | Logistic | None | 0 | Negative binomial regression with a log link | 1.39 [1.17, 1.65] |
15 | Logistic | None | 1 | Hierarchical log-linear modeling | 1.02 [1.00, 1.03] |
3 | Logistic | Variance component | 2 | Multilevel logistic regression using Bayesian inference | 1.31 [1.09, 1.57] |
5 | Logistic | Variance component | 0 | Generalized linear mixed models | 1.38 [1.10, 1.75] |
9 | Logistic | Variance component | 2 | Generalized linear mixed-effects models with logit link | 1.48 [1.20, 1.84] |
17 | Logistic | Variance component | 2 | Bayesian logistic regression | 0.96 [0.77, 1.18] |
18 | Logistic | Variance component | 2 | Hierarchical Bayes model | 1.10 [0.98, 1.27] |
23 | Logistic | Variance component | 2 | Mixed-model logistic regression | 1.31 [1.10, 1.56] |
24 | Logistic | Variance component | 3 | Multilevel logistic regression | 1.38 [1.11, 1.72] |
25 | Logistic | Variance component | 4 | Multilevel logistic binomial regression | 1.42 [1.19, 1,71] |
28 | Logistic | Variance component | 2 | Mixed-effects logistic regression | 1.38 [1.12, 1.71] |
21 | Miscellaneous | Clustered standard errors | 3 | Tobit regression | 2.88 [1.03, 11.47] |
7 | Miscellaneous | None | 0 | Dirichlet-process Bayesian clustering | 1.71 [1.70, 1.72] |
12 | Poisson | Fixed effect | 2 | Zero-inflated Poisson regression | 0.89 [0.49, 1.60] |
27 | Poisson | None | 1 | Poisson regression | 2.93 [0.11, 78.66] |
13 | Poisson | Variance component | 1 | Poisson multilevel modeling | 1.41 [1.13, 1.75] |
16 | Poisson | Variance component | 2 | Hierarchical Poisson regression | 1.32 [1.06, 1.63] |
20 | Poisson | Variance component | 1 | Cross-classified multilevel negative binomial model | 1.40 [1.15, 1.71] |
26 | Poisson | Variance component | 6 | Hierarchical generalized linear modeling with Poisson samping | 1.30 [1.08, 1.56] |