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Table 1.

Evaluating the (α = 0.05) and the power of testing Ho: β2 = 0 vs Ha: β2 ≠ 0 adjusting for (Z) in the model.

(Binary risk factor) {Censoring variable = ci = U(0,1)*1.5}.

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Table 1 Expand

Table 2.

Estimation of Hazard ratio (HR) estimation and their MSE (Binary risk factor) {Censoring variable = ci = U(0,1)*1.5}.

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Table 2 Expand

Table 3.

Estimating 95% confidence Interval length and coverage probability (CP) of the Hazard Ratio (HR) (Binary risk factor) {Censoring variable = ci = U(0,1)*1.5}.

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Table 3 Expand

Table 4.

Evaluating (α = 0.05) and the power of testing Ho: β2 = 0 vs Ha: β2 ≠ 0 adjusting for the auxiliary variable (Z) in the model.

(Continuous risk factor) {Censoring variable = ci = U(0,1)*1.5}.

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Table 4 Expand

Table 5.

Estimating Hazard ratio (HR) estimation and their MSE (Continuous risk factor) {Censoring variable = ci = U(0,1)*1.5}.

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Table 5 Expand

Table 6.

Estimating 95% confidence interval length and coverage probability (CP) of the Hazard Ratio (HR) (Continuous risk factor) {Censoring variable = ci = U(0,1)*1.5}.

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Table 6 Expand

Table 7.

Variables in the Equation using all the data (n = 233,125).

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Table 7 Expand

Fig 1.

Survival function for the grades (1: Well-differentiated; 2: Moderately differentiated; 3: Poorly differentiated or undifferentiated) using all complete data (n = 233,125).

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Fig 1 Expand