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All models exploring associations between social vulnerability and survival were adjusted for age, sex, and frailty.
The covariates that may influence acute and chronic GVHD, overall survival were adjusted for using Cox proportional hazards regression models.
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However, when the recurrence-free survival was adjusted for other clinicopathologic factors and the CRS, differences were not significant.
In both cases survival is adjusted for age, sex and ethnicity in Cox Regression models.
When survival was adjusted for treatment received, the difference seen after stratification by ethnic origin was abrogated.
The deprivation gap in relative survival is adjusted for the wide socioeconomic differences in background mortality, and for changes over time in those differentials.
This rate of increase in survival is adjusted for the deprivation gap in survival and for any changes in the distribution of patients by deprivation category, and it is a more reliable estimate of the trend in survival than would appear from the very similar survival of 63 64% in successive calendar periods.
When the effect of period of diagnosis (i.e., 1984 1986 or 1996 1997) on survival was adjusted for the ER status of the patients alone, the period of diagnosis remained a significant independent factor in survival (with survival being higher in 1996 1997).
Table 3 shows Cox's proportional hazard regression analysis of survival; when the effect of the period of diagnosis on survival was adjusted for differences in ER status of the patients alone, the period of diagnosis (i.e., 1984 1986 or 1996 1997) remained as a significant independent factor in survival.
Although our survival analyses were adjusted for various demographic and clinical characteristics, our finding of better survival in women with breast implants could reflect uncontrolled confounding by social class, medical care, and psychological factors related to implant usage and survival.
Second, none of the survival analyses were adjusted for treatment and the ABCFS cohort could not be included in the analyses of DFS, early onset and multivariable models because these variables were unavailable.
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CEO of Professional Science Editing for Scientists @ prosciediting.com