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Table 3 Parameters estimated using flexible parametric survival models

From: The current application of the Royston-Parmar model for prognostic modeling in health research: a scoping review

Author (year)

Cumulative hazard

Cumulative incidence

Cure difference

Cure proportion

Hazard rate-related estimate

Hazard ratios

Loss of life expectancy

Median survival time differences

Median survival time of the uncured

Relative survival ratio differences

Remaining life expectancy

Survival-related estimate

Andersson et al. (2014) [34]

–

–

Yes

Yes

–

–

–

Yes

Yes

Yes

–

Relative survival

Baade et al. (2015) [33]

–

–

–

–

–

–

Yes

–

–

–

Yes

Relative survival

Baade et al. (2015) [41]

–

–

–

–

–

–

–

–

–

–

–

Survival

Castillo et al. (2013) [38]

–

Yes

–

–

Excess hazard rate

Yes

–

–

–

–

–

Relative survival

Csordas et al. (2016) [37]

Yes

–

–

–

Hazard rate

Yes

–

–

–

–

–

Survival

Eyre et al. (2012) [40]

Yes

–

–

–

Hazard rate

–

–

–

–

–

–

–

Fox et al. (2014) [32]

–

–

–

–

Hazard rate

Yes

–

–

–

–

–

Survival

Li et al. (2016) [39]

–

–

–

–

Hazard rate

Yes

–

–

–

–

–

Survival

Miladinovic et al. (2012) [30]

–

–

–

–

–

–

–

–

–

–

–

Survival

Myklebust et al.(2016) [31]

–

–

–

–

–

–

–

–

–

–

–

Net survival

Ramezani Tehrani et al. (2016) [35]

–

Yes

–

–

–

–

–

–

–

–

–

–

Sanchis et al. (2014) [36]

–

–

–

–

–

–

–

–

–

–

–

Survival

  1. For studies that included other survival analysis models (including the two studies that did not use flexible parametric survival models in their prognostic model), only the parameters estimated directly using flexible parametric survival models are reported