Statistical analysis
fracture, frail/non-frail
REGRESSION
We examined characteristics of respondents and non-respondents to the postal screener, using t-tests and chi-squared tests. As there were no differences in falls and fracture rates between trials arms at 12 months [We assessed model performance in all models using calibration and discrimination as per Collins et al. [Logistic regression was used to identify additional candidate predictors. Predictors were analysed as continuous variables where possible to avoid loss of prognostic information. Remaining predictor variables were categorical, with SFI categorised as frail/non-frail [