Stepwise Cox Regression non-proportional hazards analysis modeled the association between polycystic kidney disease with all-cause mortality, controlling for the same variables as in linear regression above.
The parameters found to be univariately associated with survival were subsequently entered in a multivariate Cox proportional hazard regression analysis model.
This estimate was based on a hazard evaluation/accident analysis model that considered all possible accident initiators and failure modes.
Cox proportional hazard regression analysis model was used to assess the effect of gender, age, presentation in ESRD, aetiology of ESRD and acute dialysis, on duration of survival in ESRD.
Additionally, the multivariate Cox hazard analysis, with models including tumour size and lymph vascular invasion, demonstrates the independent value of FOXA1 expression as a predictor of patient outcome in ERα-negative tumours.
In multivariable Cox proportional hazards regression analysis (model 5), in subjects with severely enlarged LA and abnormal mitral Doppler flow, HR for AF was 3.7 (95% CI 1.6 to 8.7) compared with those with normal LA size and mitral Doppler flow.
In multivariable Cox proportional hazards regression analysis (model 2), a moderately enlarged LA was associated with 60%9595% CI 1.2 to 2.0) increased risk of AF compared with subjects with normal LA size.
In an age, sex and SAPS II score adjusted Cox-proportional hazaregressionsion analysis model, patients with low PTH or serum calcium levels, as well as low 25(OH D levels (cut-off 12 ng/ml) were all at significantly greater risk for all-cause mortality.
Analysis of prognosis was performed using Kaplan Meier survival curves/log-rank test for univariate analyses and Cox proportional hazard analysis for multivariate models (entry and remove limits 0.05), calculating hazard ratios (HR) with 95%% confidence intervals (CI).
Using the Cox's proportional hazards analysis, a model of survival prediction was established.
