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Table 3 Parameter estimates of tumour growth, time to symptomatic detection, and screening sensitivity

From: Breast cancer tumour growth modelling for studying the association of body size with tumour growth rate and symptomatic detection using case-control data

Model for tumour growth:

Parameter

Point estimate

Confidence interval (profile likelihood)

Intercept, α 1

−0.65

(−0.99, −0.28)

Body mass index coefficient, α 2

−0.02

(−0.05, 0.00)

Coefficient of variation, σ 2

0.40

(0.31, 0.52)

Model for screening sensitivity:

Parameter

Point estimate

Confidence interval (profile likelihood)

Intercept, β 1

−4.68

(−5.10, −4.30)

Tumour size coefficient, β 2

0.57

(0.49, 0.66)

Percentage mammographic density coefficient, β 3

−2.39

(−3.81, −1.01)

Model for time to symptomatic detection:

Parameter

Point estimate

Confidence interval (profile likelihood)

Intercept, η 1

−8.26

(−8.82, −7.88)

Total breast area coefficient, η 2

−0.17

(−0.32, −0.04)

  1. Parameter estimates are presented with 95 % confidence intervals