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Table 5 Posterior means and 95% credible intervals of model parameters from original calibration to targets y, and from the model that is recalibrated to \(\{y,z\}\) using a start from scratch approach as well as a sequential calibration approach

From: Sequentially calibrating a Bayesian microsimulation model to incorporate new information and assumptions

Parameter

Original posterior

New targets (start from scratch)

New targets (sequential)

Adenoma risk

 A

− 6.56 (− 6.89, − 6.11)

− 6.49 (− 6.76, − 6.10)

− 6.47 (− 6.72, − 6.11)

 \(\alpha _1\)

− 0.62 (− 0.70, − 0.49)

− 0.65 (− 0.70, − 0.56)

− 0.66 (− 0.70, − 0.60)

 \(\sigma _{\alpha }\)

1.62 (1.43, 1.74)

1.69 (1.59, 1.75)

1.69 (1.57, 1.75)

 \(\alpha _{20}\)

0.04 (0.03, 0.05)

0.04 (0.04, 0.05)

0.04 (0.04, 0.05)

 \(\alpha _{50}\)

0.04 (0.02, 0.05)

0.03 (0.02, 0.05)

0.03 (0.01, 0.05)

 \(\alpha _{60}\)

0.02 (− 0.01, 0.05)

0.01 (− 0.01, 0.04)

0.01 (− 0.01, 0.04)

 \(\alpha _{70}\)

0.00 (− 0.02, 0.02)

0.00 (− 0.02, 0.03)

0.00 (− 0.02, 0.03)

Adenoma growth

 \(\beta _{2c}\)

37.67 (34.02, 39.86)

35.34 (31.96, 38.79)

35.42 (32.26, 38.75)

 \(\beta _{1c}\)

1.43 (1.162, 1.701)

1.59 (1.31, 1.83)

1.58 (1.31, 1.81)

 \(\beta _{2r}\)

15.28 (11.81, 19.53)

14.17 (11.29, 18.14)

14.14 (11.30, 17.82)

 \(\beta _{1r}\)

3.39 (1.97, 4.76)

3.24 (1.80, 4.82)

3.39 (1.85, 4.83)

 p

0.69 (0.56, 0.83)

0.79 (0.65, 0.92)

0.79 (0.66, 0.92)

Transition to preclinical CRC

 \(\gamma _0\)

3.16 (3.03, 3.35)

3.17 (3.08, 3.26)

3.17 (3.10, 3.26)

 \(\gamma _1\)

− 0.13 (− 0.19, − 0.07)

− 0.13 (− 0.18, − 0.08)

− 0.13 (− 0.18, − 0.09)

 \(\gamma _2\)

− 0.05 (− 0.24, 0.13)

− 0.04 (− 0.25, 0.14)

− 0.04 (− 0.23, 0.13)

 \(\gamma _3\)

0.07 (− 0.03, 0.17)

0.11 (0.01, 0.20)

0.10 (0.01, 0.19)

 \(\gamma _4\)

− 1.11 (− 1.42, − 0.79)

− 0.74 (− 1.08, − 0.37)

− 0.75 (− 1.07, − 0.41)

 \(\gamma _5\)

0.12 (0.01, 0.23)

0.10 (0, 0.23)

0.10 (− 0.001, 0.23)

 \(\sigma _{\gamma }\)

0.56 (0.50, 0.65)

0.52 (0.50, 0.55)

0.52 (0.50, 0.56)

Sojourn time

 \(\lambda _2\)

3.72 (2.20, 4.92)

2.38 (2.02, 3.07)

2.42 (2.02, 3.23)

 \(\lambda _1\)

2.57 (2.27, 3.06)

3.77 (3.35, 4.16)

3.80 (3.36, 4.18)

 \(\lambda _3\)

− 0.35 (− 0.96, 0.67)

0.87 (0.65, 0.99)

0.86 (0.61, 0.99)

  1. Refer to “The microsimulation model for colorectal cancer” section for details on model component distributions and parameters