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Table 1.

Details of the original predictive models [9,11].

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Table 1 Expand

Table 2.

Characteristics of previous validation studies.

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Table 2 Expand

Table 3.

Characteristics of the prognostic models.

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Table 3 Expand

Table 4.

Demographic characteristics of the original and validation samples.

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Table 4 Expand

Fig 1.

Receiver operating characteristics (ROC) curves for survival and independence, for the total sample.

Optimally, the curve should lie towards the upper left corner of the plot. Survival: assessed at 30 days for the SSVMod and at 100 days for the NIHSSMod. Independence: assessed at 6 months for the SSVMod and at 3 months for the NIHSSMod.

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Fig 1 Expand

Table 5.

C-statistics for survival and independence.

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Table 5 Expand

Table 6.

C-statistics for survival and independence in subgroups defined by type of stroke (ischaemic and haemorrhagic).

The p values from the tests for equality of the C-statistics should be interpreted with regard to the differing denominators of ischaemic and haemorrhagic strokes.

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Table 6 Expand

Table 7.

Calibration in the large of the models.

Data are counts (%); p values are derived from a logistic regression model. Figures are given for all patients and separately for those with ischaemic and haemorrhagic strokes.

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Table 7 Expand

Fig 2.

Calibration plots for survival and independence, for the total sample and based on deciles of patient numbers.

Survival: assessed at 30 days for the SSVMod and at 100 days for the NIHSSMod. Independence: assessed at 6 months for the SSVMod and at 3 months for the NIHSSMod. For illustrative clarity, the origins for the axes vary between plots.

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Fig 2 Expand

Table 8.

Recalibration of the SSVMod and the NIHSSMod.

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Table 8 Expand