Skip to main content

Table 1 Misclassification rates of the Framingham Cohort 1 models predicting hypertension at visit 1.

From: Screening the genome to detect an association with hypertension

ModelA

Number of End-nodes

Cohort 1 Observed Error

Cohort 1 Cross-validation

Cohort 1 Model Applied to Cohort 2

1) No Splits

1

22.1%

22.1%

20.2%

2) All M & E

3

18.5%

23.1%

21.6%

3) All M

5

17.4%

26.9%

22.7%

4) All E, subset of M

3

18.5%

23.1%

21.6%

  1. A1) no splits; 2) all allelic markers and environmental factors; 3) all allelic markers; and 4) all environmental factors but only those allelic markers that occur at least 1% of the time or less than 99% of the time. All models shown have a complexity parameter of 5%.