Mortality risk (or hazard risk) is the dependent variable in survival analyses, which is measured by survival status and duration of exposure to death.
Time to onset will be the dependent variable in the survival analyses.
Time to readmission was considered as the number of days to first admission after discharge, and was used as the outcome variable in the Survival analyses methods employed.
The correlations shown in table 1 refer to absent versus present HMG-CoAR expression, corresponding to the dichotomised variable used for survival analyses, but similar associations were seen between HMG-CoAR expression and relevant clinicopathological parameters when the former was categorised as 0 to 4, as in the previous study [ 12] (data not shown).
Crossing the WT1 ratio of 50 (time-dependent, dichotomous: whether or not each WT1 measure exceeded the 50 threshold) was not considered as a variable in the survival analyses due to its 100% specificity (i.e, patients that did not relapse never had WT1 ratio greater than or equal to 50).
Table 1 Explanatory variables used in the logit and survival analyses Variable Proxy Definition Hypothesis for LM Hypothesis for SA Incentives Output price level (P Y ) price Average price of products sold.
We considered study factors (i.e., rKt/V, tKt/V, and tCrcl ) and other observed prognostic factors as time-varying co-variables in the survival analyses, which should be better in explaining disease prognosis than using only single measurements.
Sex was significantly associated with censorship so this variable was excluded from survival analyses.
Multivariable logistic regression including demographic and genetic variables and Kaplan-Meier survival analyses of genotype frequencies and pregnancy outcome were performed.
We analysed LC, RRFS, DMFS, DFS and OS in the 69 patients who achieved complete remission after primary treatment using primary tumour volume (PET- or CT-based), SUVmean, SUVMAX and iSUV as continuous variables in Cox regression survival analyses.
