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Results: 4

1.
Plate 4

Plate 4. From: Evaluating Health Risk Models.

Outcome prevalences and assigned risks in cross-classified risk groups of Models 1 and 2 when both models are calibrated to Population A and applied to Population B.

Alice S. Whittemore. Stat Med. ;29(23):2438-2452.
2.
Plate 3

Plate 3. From: Evaluating Health Risk Models.

Panel (a): attribute diagram for a model that uses two of four covariates to partition Population B into five risk groups, and then assigns each group the outcome prevalence observed in Population A. Panel (b): attribute diagram for an expanded model that includes an additional covariate, and again is calibrated to Population A and applied to Population B.

Alice S. Whittemore. Stat Med. ;29(23):2438-2452.
3.
Plate 1

Plate 1. From: Evaluating Health Risk Models.

Two extreme distributions for a population with outcome prevalence 10%. a) all individuals have common risk of 10 per cent, so that the risk variance is σ2 = 0 b) 90 per cent of individuals have risk zero and the remaining have risk one. The variance of risks is σ2 = 0.10 × (1 - .10) = 0.09

Alice S. Whittemore. Stat Med. ;29(23):2438-2452.
4.
Plate 2

Plate 2. From: Evaluating Health Risk Models.

Risk distributions for two hypothetical populations, A and B. Risks depend on four covariates. The first row shows the distributions of true risk, with mean = 10 per cent. The standard deviation of risks is 5.4 per cent for population A and 16.7 per cent for Population B. The second row shows the Distributions of outcome prevalences in subgroups determined by a risk model based on two of the four covariates (Model 1). The third row shows outcome prevalences in subgroups obtained by expanding Model 1 with an additional covariate (Model 2). (See Appendix A.1. for details).

Alice S. Whittemore. Stat Med. ;29(23):2438-2452.

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