Table 4. Dose-Response Models Examined and Corresponding Akaike Information Criterion and Log-Likelihood Deviance.
Description | Modela | Akaike Information Criterion | Log-Likelihood Deviance |
---|---|---|---|
Daunorubicin vs doxorubicin | |||
Log-linear modelb | Risk = exp (ΣαX) exp (0.56 doxoi1 + 1.51 doxoi2 + 2.52 doxoi3 + 0.34 dauni1 + 0.99 dauni2 + 1.76 dauni3) | 6123.1 | 6089.1 |
Linear modelc | Risk = exp (ΣαX) [1 + 0.02963 doxo_dose + 0.01571 daun_dose] | 6098.8 | 6072.8 |
Linear exponential modelc | Risk = exp (ΣαX) [1 + 0.01674 doxo_dose × exp (0.00157 doxo_dose) + 0.0129 daun_dose × exp (0.000597 daun_dose)] | 6092.4 | 6062.4 |
Epirubicin vs doxorubicin | |||
Log-linear modelb | Risk = exp (ΣαX) exp (0.37 doxoi1 + 1.41 doxoi2 + 2.41 doxoi3 + 0.73 epii1 + 0.71 epii2 + 1.83 epii3) | 6247.5 | 6213.5 |
Linear modelc | Risk = exp (ΣαX) [1 + 0.02203 doxo_dose +0.01685 epi_dose] | 6235.8 | 6209.8 |
Linear exponential modelc | Not estimable | ||
Mitoxantrone vs doxorubicind | |||
Log-linear modelb | Risk = exp (ΣαX) exp (0.43 doxoi1 + 1.46 doxoi2 + 2.44 doxoi3 + 1.51 mitoxi1 + 1.34 mitoxi2 + 3.89 mitoxi3) | 6197.7 | 6163.7 |
Linear modelc | Risk = exp (ΣαX) [1 + 0.02313 doxo_dose + 0.07966 mitox_dose] | 6192.0 | 6166.0 |
Linear exponential modelc | Risk = exp (ΣαX) [1 + 0.01265 doxo_dose × exp (0.0017 doxo_dose) + 0.02498 mitox_dose × exp (0.0036 mitox_dose)] | 6178.7 | 6148.7 |
Abbreviations: daun, daunorubicin; doxo, doxorubicin; epi, epirubicin; mitox, mitoxantrone.
exp (ΣαX) contains these covariates: sex, age at cancer diagnosis, current age, chest radiotherapy exposure, exposure to another anthracycline or anthraquinone, and cohort.
Based on dose categories with no dose as referent, where listed covariates are indicators (i1 = 1-149; i2 = 150-299; and i3 = ≥300 mg/m2).
Based on continuous dose (in units of milligrams per square meter).
Mitoxantrone dose (in units of milligrams per square meter) first multiplied by 4 to facilitate comparability to doxorubicin on the same mg/m2 scale.