Statistical analyses
SECONDARY
For the primary outcome, we will use a log-Poisson mixed effects model for the neighborhood shooting rates Further secondary analysis will involve the specific outcomes of the two key components of TRUE HAVEN -- housing and mental health services for families affected by incarceration. Each of these components acts at either the neighborhood, program/implementer or individual/family levels and will include different populations with different sample sizes. In general, the overall approaches to analysis described above will be taken. When outcomes are continuous, generalized estimating equations will typically use the identify link function, and when they are binary, they will use the log link function. If the outcomes are repeated within unit over time, a second random effect will be included to induce the correlation due to repeated measures within, say, individuals or implementers. Mediation analysis will be another informative feature of the statistical analysis plan. Here, we will assess the extent to which any improvements to neighborhood shooting rates are mediated by beneficial changes in downstream process outcomes due to the intervention. These process outcomes could include those given by the RE-AIM and Proctor frameworks in the project logic model presented in Fig. 