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Contents
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1
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Introduction
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2
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Overview
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3
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Bayesian vs Frequentist methods
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4
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Fixed pool size and perfect tests
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5
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Fixed pool size and known Se & Sp
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6
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Fixed pool size and uncertain Se & Sp
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7
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Variable pool size and perfect tests
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8
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Pooled prevalence using a Gibbs sampler
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9
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True prevalence using one test |
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10
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Estimated true prevalence using two tests with a Gibbs sampler |
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11
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Estimation of parameters for prior Beta distributions
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12
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Sample size for fixed pool size and perfect test
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13
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Sample size for fixed pool size and known test sensitivity and specificity
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14
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Sample size for fixed pool size and uncertain test sensitivity and specificity
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15
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Simulate sampling for fixed pool size
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16
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Simulate sampling for variable pool sizes
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17
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Important Assumptions |
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18
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Pooled prevalence estimates are biased!
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