Motivated by a longitudinal study on factors affecting the frequency of clinic visits of older adults, an exploratory time varying lagged regression analysis is proposed to relate a longitudinal response to multiple cross-sectional and longitudinal predictors from time varying lags.
(2013), combines monitored and modelled concentrations by regressing the concentrations from the monitoring stations against the modelled concentrations via a spatially varying linear regression.
In a separate analysis, we used a time varying Cox regression analysis to examine the effects of duration of use of HRT and time since stopping HRT on risk of fracture in women, treating these terms as time varying covariates.
When associations for individual statins were significant, we used a time varying Cox regression analysis to examine the effects of duration of use and time since stopping any statin.
Time-varying regression variables were included in the models to account for newly diagnosed conditions and newly prescribed (non-antihyperglycaemic) medications during the follow-up period.
Drought analysis was performed with the variable threshold level method and various statistical tools were applied, i.e. bivariate correlation analysis, heatmaps, linear models based on multiple regression, varying slope models, and automatic stepwise regression.
Second, we carry out time-varying regressions for the same set of countries and two standard PC specifications.
Computer modeling studies have shown varying results from regression analyses between S (species richness) and the different PD metrics (Cadotte et al., 2010; Tucker and Cadotte, 2013).
However, in time varying multivariable Cox regression analysis, sitagliptin users had similar hazards for the primary composite endpoint to sitagliptin non-users after adjustment for the use of other glucose lowering strategies, demographics, and clinical and comorbidity data (adjusted hazard ratio 0.98, 95% confidence interval 0.91 to 1.06) (table 2).
A novel implementation of Dynamic Linear Bayesian Models (DLBM), using either a Varying Coefficient Regression (VCR) or a Discount Weighted Regression (DWR) algorithm was used in the hydrological modeling of annual hydrographs as well as 1-, 2-, and 3-day lead time stream flow forecasting.
