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

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C.2<br />

C.2 Annex: Methods for Statistical Power and Sample Size Calculations<br />

The differences in case numbers for cancer over 10 or 15 years’ follow-up based on registry<br />

data or on extrapolations from different ongoing German cohort studies document a degree<br />

<strong>of</strong> uncertainty with regard to numbers <strong>of</strong> cases with disease that may be expected in practice,<br />

depending on possible self-selection <strong>of</strong> cohort participants. Apart from current health<br />

<strong>status</strong>, <strong>the</strong>se self-selection effects are likely to be associated with different background risks<br />

for chronic disease in different geographic and socio-economic strata <strong>of</strong> <strong>the</strong> German population,<br />

which are difficult to fully describe in advance.<br />

C.2.2 minimally detectable odds ratios in main effects models<br />

In addition to <strong>the</strong> Figures 6.2 to 6.4 in <strong>the</strong> main protocol text (Chapter 5), Table S6.2 provides<br />

minimum detectable odds ratios (MDOR; statistical power 0.80, significance level <strong>of</strong><br />

ei<strong>the</strong>r 0.05 or 0.01) for a binary main effect, as function <strong>of</strong> exposure prevalence, number <strong>of</strong><br />

disease cases, and number <strong>of</strong> controls per case. Likewise, Table S6.3 provides minimum<br />

detectable odds ratios (MDOR; statistical power 0.80, significance level <strong>of</strong> ei<strong>the</strong>r 0.05 or<br />

10 -4 ) for comparison <strong>of</strong> top to bottom quartiles <strong>of</strong> a continuous exposure variable, for a number<br />

<strong>of</strong> scenarios.<br />

figure S6.1 provides estimates for study size (number <strong>of</strong> cases with 2 control each) required<br />

to detect with statistical power 0.80 minimal odds ratios [MDOR]), at a significance<br />

level <strong>of</strong> 10 -4 . This figure shows that a nested case-control study with 1000 cases <strong>of</strong> disease<br />

and two controls per case will allow detection <strong>of</strong> a MDOR <strong>of</strong> 1.5 for a dominant allele that<br />

has carrier frequencies <strong>of</strong> about 0.14 or higher. For smaller MDOR, considerably larger<br />

study sizes are generally needed.<br />

figure S6.1: Study size (number <strong>of</strong> cases with 2 control each) required to detect minimally detectable<br />

odds ratios [MDOR] varying from 1.2 to 2.5 for a genetic main effect (statistical power<br />

0.80, significance level 10 -4 ).**<br />

Genetic main effect, alpha=10e-4<br />

N cases<br />

10000<br />

9000<br />

8000<br />

7000<br />

6000<br />

5000<br />

4000<br />

3000<br />

2000<br />

1000<br />

0<br />

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5<br />

N cases<br />

10000<br />

9000<br />

Allele frequency<br />

RG 1.2 1.3 1.5 1.7 2 2.5<br />

Assuming dominant model, unmatched case-control study with 2 controls per case<br />

** Assuming Hardy-Weinberg equilibrium between high- and low-risk alleles – that is, for<br />

2<br />

allele frequency af <strong>the</strong> carrier frequency cf is computed as ).<br />

Genetic main effect, alpha=10e-4<br />

274<br />

� af �<br />

cf � af � 2af<br />

1�<br />

�1<br />

� �0<br />

A<br />

� � ��

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