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. 2023;24(12):4167–4177. doi: 10.31557/APJCP.2023.24.12.4167

Table 3.

Maximum Likelihood Estimates, Considering the Non-Mixture Model with the EE, FR, and GMW Distributions where the Covariate is Including in Cure Fraction π for the Bladder Cancer data

Model Parameter Estimate 95% Confidence interval AIC BIC HQIC
EE α 0.47932 (0.05423, 0.90440) 1191.921 1201.692 1195.851
λ 0.03948 (0.01374, 0.06523)
ɳ 0 -0.78307 (-1.63424, 0.06811)
ɳ 1 0.63038 (0.11562, 1.14514)
π0 0.4619 (0.03667, 0.77087)
π1 0.6172 (0.19733, 0.91360)
FR α 0.37055 (0.33982, 0.40129) 1193.983 1203.754 1197.913
β 169.6564 (163.6185, 175.6943)
ɳ 0 -4.50417 (-6.37051, -2.63783)
ɳ 1 1.24731 (0.13213, 2.36248)
π0 0.037081 (0.000003, 0.4316)
π1 0.1182 (0.00222, 0.88965)
GMW α 2.22249 (1.47529, 2.96970) 1194.323 1217.864 1200.218
β 40.8064 (6.58439, 75.02841)
γ 0.12658 (0.067864, 0.18530)
λ 0.00694 (-0.00257, 0.01645)
ɳ 0 -1.0944 (-2.61451, 0.42571)
ɳ 1 0.66673 (0.01252, 1.32094)
π0 0.39468 (0.06901, 0.85153)
π0 0.55948 (0.06982, 0.95554)

AIC, Akaike Information Criteria; BIC, Bayesian Information Criteria; HQIC, Hannan-Quinn Information Criteria