Journal of Probability and Statistics / 2012 / Article / Tab 1

Research Article

A Semiparametric Marginalized Model for Longitudinal Data with Informative Dropout

Table 1

Simulation results for pure informative dropouts.

𝐹 𝛼 𝑏 𝑖 𝑗 ( πœ‚ 𝑖 ) 𝛽 1 𝛼
𝑁 BiasSSESEECPBiasSSESEECP

N.0 πœ‚ 𝑖 1000.0010.0840.0820.9480.0040.1300.1270.954
2000.0060.0570.0580.952βˆ’0.0020.0900.0910.942
0.5 πœ‚ 𝑖 1000.0080.0830.0820.9520.0080.1480.1420.936
2000.0050.0560.0580.9540.0010.1020.1010.944
0.25 πœ‚ 𝑖 𝑑 𝑖 𝑗 1000.0040.1020.1010.9400.0060.0830.0810.938
2000.0090.0710.0710.948βˆ’0.0010.0600.0580.940

E.0 πœ‚ 𝑖 1000.0070.1070.0970.9200.0010.1500.1400.942
2000.0020.0690.0690.950βˆ’0.0030.0100.0970.958
0.5 πœ‚ 𝑖 1000.0100.0970.0970.9480.0250.1610.1610.962
2000.0090.0710.0690.9320.0020.1110.1130.950
0.25 πœ‚ 𝑖 𝑑 𝑖 𝑗 1000.0260.1380.1350.9360.0010.1240.1140.926
2000.0090.0890.0950.9540.0010.0790.0820.952

L.0 πœ‚ 𝑖 1000.0040.0790.0770.9320.0010.0760.0770.950
2000.0020.0570.0550.952βˆ’0.0010.0580.0540.938
0.5 πœ‚ 𝑖 1000.0090.0790.0760.9440.0070.1140.1050.928
2000.0020.0530.0540.9640.0060.0740.0750.956
0.25 πœ‚ 𝑖 𝑑 𝑖 𝑗 1000.0030.0960.0960.9540.0080.0690.0670.942
2000.0020.0670.0680.9640.0040.0470.0470.958

In Tables 1–3: 𝐹 : error distribution of the semiparametric transformation model; 𝑁 : sample size; SSE: sample standard deviations of estimates; SEE: mean of estimates standard errors; CP: 95% coverage probability of Wald-type confidence interval.

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