Table 5.

Prostate Cancer – Predictive Regression Model Summaries

Linear Models
Parameter					Model
Term		Estimate (C.I.)		P_Value	Adj.R.Squared	Standard Deviation	t-Value	P -Value
Linear Model
Percentile		0.95 (0.92, 0.97)		2.52E-87	0.9811	3.8586	5185.354	2.52E-87
Cubic Polynomial Model
First Order Percentile		277.86 (273.73, 281.98)		2.58E-111	0.9943	2.1028	5898.511	1.31E-109
Second Order Percentile		−10.41 (− 14.53, − 6.28)		3.15E-06
Third Order Percentile		30.61 (26.49, 34.73)		3.91E-26
GAM Model
Parameter					Model
Term	Estimated Degress of Freedom	Residual Degrees of Freedom	Statistic	P -Value	Log.Likelihood		Akaike Information Crierion	Bayesian Information Criterion
Smoothened Percentile	8.8184	8.9902	8777.838	< 2.2E-320	− 137.9338		297.5044	325.7959