Table 2.
Odds Ratio | 95% CI | p | Estimated Missing Rate | |
---|---|---|---|---|
Time-varying predictors | ||||
Gun violence exposure | 1.43 | [1.17, 1.75] | 0.001 | 0.19 |
Non-gun violence exposure | 1.01 | [0.82, 1.23] | 0.959 | 0.23 |
Institutional placement | 2.65 | [2.10, 3.33] | <.001 | 0.19 |
Street months | 1.21 | [1.17, 1.25] | <.001 | 0.25 |
Peer non-gun delinquency | 1.20 | [1.05, 1.37] | 0.008 | 0.21 |
Peer gun carrying | 1.03 | [0.94, 1.12] | 0.577 | 0.17 |
Note: All models estimated with binary fixed effects logistic regressions in a structural equation framework with maximum likelihood estimation. Rate of missingness differs from the proportion of missing data per variable because it is estimated based on the missing data mechanism, model specification, and associations among analysis variables (45). It is used to determine the extent to which each parameter is affected by missing data (45). A value of .19, for example, indicates that the loss of efficiency due to incomplete data for that particular parameter is 19% (45).