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1,765 patients were given a positive/negative screening test for a disease.

N = 415 patients tested positive

N = 1,350 patients tested negative

Due to constraints, not all 1,765 patients were given the definitive disease diagnostic test; clinicians had to pick a sample size (95% CL, 5% MoE) from the positive and negative groups.

n = 200 patients tested positive

n = 300 patients tested negative

Does this mean that the True Positives (TP), FP, FN, and TN values have a +/- 5% MoE? So the 89% True Positives is 84 – 94%?

enter image description here

1,765 patients were given a screening test for a disease.

N = 415 patients tested positive

N = 1,350 patients tested negative

Due to constraints, not all 1,765 patients were given the definitive disease diagnostic test; clinicians had to pick a sample size (95% CL, 5% MoE) from the positive and negative groups.

n = 200 patients tested positive

n = 300 patients tested negative

Does this mean that the True Positives (TP), FP, FN, and TN values have a +/- 5% MoE? So the 89% True Positives is 84 – 94%?

enter image description here

1,765 patients were given a positive/negative screening test for a disease.

N = 415 patients tested positive

N = 1,350 patients tested negative

Due to constraints, not all 1,765 patients were given the definitive disease diagnostic test; clinicians had to pick a sample size (95% CL, 5% MoE) from the positive and negative groups.

n = 200 patients tested positive

n = 300 patients tested negative

Does this mean that the True Positives (TP), FP, FN, and TN values have a +/- 5% MoE? So the 89% True Positives is 84 – 94%?

enter image description here

1
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Sample Size and Sensitivity/Specificity

1,765 patients were given a screening test for a disease.

N = 415 patients tested positive

N = 1,350 patients tested negative

Due to constraints, not all 1,765 patients were given the definitive disease diagnostic test; clinicians had to pick a sample size (95% CL, 5% MoE) from the positive and negative groups.

n = 200 patients tested positive

n = 300 patients tested negative

Does this mean that the True Positives (TP), FP, FN, and TN values have a +/- 5% MoE? So the 89% True Positives is 84 – 94%?

enter image description here