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Table 3 Dose‒response relationship models of pack years exposure and relative risks of lung cancer caused by smoking

From: Dose–response relationship between active smoking and lung cancer mortality/prevalence in the Chinese population: a meta-analysis

Models

Functions

AIC

BIC

Piecewise linear model 1

\(0<x\le 30,y=0.45+0.1434\times x\)

\(x>30, y=4.75\)

4.20

32.58

Piecewise linear model 2

\(0<x\le 45, y=0.45+0.1192\times x\)

\(x>45,y=5.81\)

-128.00

-165.00

Power function model 1

\(y={(1+x)}^{0.4205}\)

-69.33

-106.11

Power function model 2

\(y=({(58.43+x)/58.43)}^{3.07}\)

-56.30

-93.11

Power function model 3

\(y=1+0.0194\times {x}^{1.4465}\)

-88.68

-124.45

Exponential model 1

\(y=3.5-3.704\times {0.909}^{x}\)

-23.09

-59.87

Exponential model 2

\(y=1.2655\times {1.0342}^{x}\)

-35.13

-71.90

Exponential model 3

\(y=-0.6+0.98\times {\mathrm{e}}^{(x+20)/34.7}\)

-45.10

-81.88

IER model 1

\(y=1+89.95\times (1-{\mathrm{e}}^{-0.001\times x}\)

-311.12

-347.89

IER model 2

\(y=1+7.2324\times (1-{\mathrm{e}}^{-0.2697\times {x}^{0.0497}})\)

-285.40

-321.17

  1. AIC Akaike information criterion, BIC Bayesian Information Criteria, IER Integrated-exposure–response