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Exact(6)
The first term, S KY (i), is the kernel-weighted local model fit statistic.
The three models for long-term care each had a lower model fit statistic, although still highly significant.
Explained variance (R-squared) for the linear model and the multilevel logistic counterpart thereof [ 29] will be reported as model fit statistic.
First, the global model fit statistic, reported as a chi-square, is used to assess the overall fit with a statistically significant (p <0.05) result indicating an ill-fitting model [ 47].
Using these selected covariates, we carried out backward selection by dropping the variable that had a less than 10% decrease in the model fit statistic after the variable was removed from the model.
Not surprisingly, the standardized root mean residual (SRMR) model fit statistic at the clinical area level was larger than desirable, indicating that further scale refinement could result in stronger factor loadings and a better fitting model at the clinical area level without sacrificing integrity of measurement at the individual caregiver level.
Similar(54)
Thus, when comparing differences in fit between models, the fit statistic determines the relative superiority of each model.
Odds ratio (OR) with 99% confidence interval (CI) and model fit (c-statistic and R ) were calculated per diagnosis group and per age group using the main multivariate logistic regression model.
The model goodness of fit statistic, the -2 log likelihood (88140.50), is compared with subsequent models to evaluate the model fit with the addition of predictor variables.
The estimation of quantification of the additional predictive ability of adding falls to the clinical risk factor model using a Fit Statistic isn't ideal, as this penalises models with increasing numbers of variables.
For each model, the −2LL fit statistic was computed.
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