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Table 5 Priors of two-stage Bayesian modeling for simulation studies

From: A two-stage Bayesian method for estimating accuracy and disease prevalence for two dependent dichotomous screening tests when the status of individuals who are negative on both tests is unverified

True value

Informative priors for model

Informative priors for Se alone

Two-step informative priors for Se alone

Informative priors for Sp alone

Se = 0.6

U(0.5,0.7)

U(0.5,0.7)

U(0.5,U(0.55,0.99))

U(0,1)

Se = 0.7

U(0.6,0.8)

U(0.6,0.8)

U(0.6,U(0.65,0.99))

U(0,1)

Se = 0.8

U(0.7,0.9)

U(0.7,0.9)

U(0.7,U(0.75,0.99))

U(0,1)

Se = 0.9

U(0.85,0.95)

U(0.85,0.95)

U(0.85,U(0.9,0.99))

U(0,1)

Se = 0.95

U(0.90,0.99)

U(0.90,0.99)

U(0.9,U(0.95,0.99))

U(0,1)

Sp = 0.6

U(0.5,0.7)

U(0,1)

U(0,1)

U(0.5,0.7)

Sp = 0.7

U(0.6,0.8)

U(0,1)

U(0,1)

U(0.6,0.8)

Sp = 0.8

U(0.7,0.9)

U(0,1)

U(0,1)

U(0.7,0.9)

Sp = 0.9

U(0.85,0.95)

U(0,1)

U(0,1)

U(0.85,0.95)

Sp = 0.95

U(0.90,0.99)

U(0,1)

U(0,1)

U(0.90,0.99)

π = 0.4

U(0.3,0.5)

U(0,1)

U(0,1)

U(0,1)

π = 0.1

U(0.05,0.15)

U(0,1)

U(0,1)

U(0,1)

π = 0.01

U(0.005,0.015)

U(0,1)

U(0,1)

U(0,1)

  1. Note: π, prevalence; U, uniform distribution.