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Scientific Concept of the National Cohort (status ... - Nationale Kohorte

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A.6<br />

A.6 Planned statistical analyses and statistical power considerations<br />

for correct estimation <strong>of</strong> FPR. Thus, as <strong>the</strong> underlying TPR 1 is fur<strong>the</strong>r away from <strong>the</strong> targeted<br />

TPR 0 , a smaller number <strong>of</strong> cases would be needed, but at some point <strong>the</strong> numbers <strong>of</strong><br />

cases and controls are kept constant by <strong>the</strong> demand <strong>of</strong> securing accurate joint estimation<br />

<strong>of</strong> FPR 0 (shaded areas in Table 6.7).<br />

In practice, <strong>the</strong> variance <strong>of</strong> a diagnostic marker may differ between subjects developing<br />

disease (cases) and control subjects who remain disease-free and <strong>of</strong>ten will show wider<br />

spread among <strong>the</strong> cases. As <strong>the</strong> FPR is estimated from control subjects, a smaller marker<br />

variance among controls, compared to that among cases, will generally improve estimation<br />

<strong>of</strong> FPR 0 . Thus, comparing <strong>the</strong> situation in which biomarker variances for cases and controls<br />

are equal to <strong>the</strong> one in which variance <strong>of</strong> biomarker among control patients is half <strong>of</strong> <strong>the</strong><br />

biomarker variance <strong>of</strong> cases, smaller numbers <strong>of</strong> cases are needed in <strong>the</strong> latter situation.<br />

To be able to study <strong>the</strong> validity <strong>of</strong> candidate markers within a prospective cohort, <strong>the</strong> cohort<br />

should have accumulated certain numbers <strong>of</strong> prospectively identified (“incident”) cases <strong>of</strong><br />

disease, detected within a reasonably short period <strong>of</strong> <strong>the</strong> blood sample collection. In general,<br />

a diagnostic marker, e.g., for cancer, may be able to detect a disease only within a<br />

limited time span (<strong>of</strong>ten no more than 1–2 years) before its natural diagnosis. Table 6.6<br />

indicates numbers <strong>of</strong> cancer cases occurring within 1, 2, or 3 years after visit to a study<br />

center and collection <strong>of</strong> biological specimens, assuming ei<strong>the</strong>r a single recruitment visit for<br />

<strong>the</strong> full cohort or also a second visit.<br />

Table 6.6: Expected counts <strong>of</strong> incident cancer cases within 1, 2, or 3 years after blood<br />

donation.<br />

Table 6.6: Expected counts <strong>of</strong> incident cancer cases within 1, 2, or 3 years after blood donation<br />

Number <strong>of</strong> cases after baseline blood<br />

donation from full cohort<br />

within<br />

1 year<br />

within<br />

2 years<br />

within<br />

3 years<br />

188<br />

Baseline blood sample from full cohort,<br />

and second blood sample<br />

from 75% <strong>of</strong> participants<br />

within<br />

1 year<br />

within<br />

2 years<br />

within<br />

3 years<br />

Prostate 182 365 547 319 639 958<br />

Breast 161 322 483 282 563 845<br />

Colon 88 177 265 155 309 464<br />

Lung 59 117 176 103 205 308<br />

Kidney 34 68 101 59 118 177<br />

Bladder 24 49 73 43 85 128<br />

Pancreas 19 38 57 33 66 99<br />

Brain 18 36 54 32 63 95<br />

Non-Hodgkin 17 35 52 30 61 91<br />

Corpus Uteri 13 27 40 24 47 71<br />

Ovary 12 25 37 22 43 65<br />

*3-year incident cases calculated as 0.2-fold 10-year incidence from EPIC-HD-sample; 2-year incident cases as<br />

2/3 <strong>of</strong> cases in 3 years and 1-year incidence cases as 1/3 <strong>of</strong> cases in 3 years.

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