Aim specific
We will use generalized linear models with repeated measures (GLMRM) for each aim where outcome variables may have different form (continuous, binary or count) and the measurements are likely to be correlated due to residing in the same building or being from the same participant over time. The models use various link functions to relate outcome to linear combination of predictors. For example, identity link for continuous outcome is linear model with repeated measures and logit link for binary outcome is logistic model with repeated measures. We will use the generalized estimation equation method to estimate model parameters and make statistical inference since it takes into account intra-cluster (within-building or within-person) correlations and uses all available data.