For other analyses using the above mixed model the sensitivity analysis will include a worst case analysis following the same technique as previously published [ 45].
The findings are used to specify an appropriate mixed model employed in the sensitivity analyses of an ongoing phase III trial.
Mixed model regression was utilized for sensitivity analyses to adjust for baseline eGFR and clustering of patients by CBOC and to compare patients randomized to secular control CBOCs to the usual care group in order to assess secular trends.
A linear mixed model was used to assess sensitivity and mean absolute relative difference (MARD) between insertion sites, with subject as a random effect and insertion site (left arm, right arm) and lot as fixed effects.
When using a bivariate generalized linear mixed model to jointly model the sensitivities and specificities, different monotone link functions can be implemented, such as logit, probit, and complementary log-log transformations [ 19].
When a skewed continuous parasite variable was used as an explanatory variable in a mixed model analysis, we routinely assessed the sensitivity of the outcome to log-transformation and ordinal categorisation of that variable.
With the general linear mixed model using binomial results for the contrast sensitivity at all spatial frequencies, the interaction of exposure × time was not significant for the right or left eye.
15 The bivariate model was fitted with a generalised linear mixed model approach to the bivariate meta-analysis of sensitivity and specificity.
Considering the possibility of a missing not at random pattern and its potential effects on model estimates we conducted a sensitivity analysis fitting a linear mixed model as specified above only on subjects that had a visit at 24 months.
The logarithm model is the low-end, and the linear model is the high-end estimation, respectively, and they can be regarded as sensitivity analyses showing the robustness of the mixed model.
