Table 2.

Estimates for early-onset and late-onset modes and group probabilities given a specified histopathologic subtype of breast carcinoma, race, or ER expression

All breast cancer casesDuct NSTTubularLobular
Sample size270,124185,1694,40721,846
Median age in years62616266
Rate (SE)132.4 (0.26)91.0 (0.21)2.2 (0.03)10.7 (0.07)

Variable
Result
SE
Result
SE
Result
SE
Result
SE
Mode in years
    Early-onset group50.270.1650.930.1652.766.7952.011.09
    Late-onset group72.960.2673.450.1771.7510.1373.231.64
1p for the early-onset group0.49<0.010.56<0.010.49<0.010.38<0.01
    2AIC mixture−1100201.0−720027.2−17053.0−86327.3
    AIC single density−1107039.0−752190.4−17295.5−87582.1
3p for the early-onset group given race
    White0.54<0.010.59<0.010.490.010.360.10
    Black0.71<0.010.76<0.010.610.070.490.01
    API0.76<0.010.80<0.010.590.070.590.01
3p for the early-onset group given ER
    ER positive0.37<0.010.41<0.010.50<0.010.360.01
    ER negative0.61<0.010.64<0.010.560.060.480.02


Medullary
Inflammatory
Papillary
Mucinous
Sample size2,6193,0041,6786,881
Median age in years51567071
Rate (SE)1.3 (0.03)1.5 (0.03)0.8 (0.02)3.3 (0.04)

Variable
Result
SE
Result
SE
Result
SE
Result
SE
Mode in years
    Early-onset group49.745.5052.2510.7150.312.19
    Late-onset group73.619.2474.9917.4674.723.53
1p for the early-onset group0.670.040.320.060.280.02
    2AIC mixture−10515.1−12196.4−6756.5−27300.7
    AIC single density−10504.2−12343.3−6797.8−27792.0
3p for the early-onset group given race
    White0.650.060.440.100.220.01
    Black0.730.030.620.060.260.02
    API0.850.050.750.090.540.02
3p for the early-onset group given ER
    ER positive0.550.070.270.060.280.02
    ER negative0.730.020.580.050.440.04
  • Key: Rate, age-adjusted (2000 US standard) incidence rate per 100,000 woman-years; SE, standard error; 1p, probability of being in the early-onset group; 2AIC, Akaike information criteria where the larger number confirms the better model fit; 3p, probability of being in the early-onset group with covariates included in logistic regression model (see Materials and Methods), ∼, not calculated since the data fit a single density model better than a two-component mixture model.