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. Author manuscript; available in PMC: 2009 Apr 24.
Published in final edited form as: Biostatistics. 2007 Oct 8;9(2):355–363. doi: 10.1093/biostatistics/kxm034

Table 1.

Simulation results for heteroscedastic median regression

n Bias SE LS method
 SV method
Normal Z
 Bernoulli Z
 Normal Z
 Bernoulli Z
SEE CP SEE CP SEE CP SEE CP
50 −0.000 0.209 V̂1 0.228 0.957 0.225 0.948 0.215 0.948 0.216 0.943
V̂2 0.228 0.957 0.224 0.947 0.215 0.948 0.216 0.942
100 0.001 0.147 V̂1 0.152 0.946 0.151 0.937 0.147 0.937 0.147 0.932
V̂2 0.152 0.945 0.151 0.937 0.146 0.937 0.147 0.932
200 −0.000 0.102 V̂1 0.105 0.947 0.102 0.943 0.102 0.941 0.102 0.939
V̂2 0.105 0.947 0.104 0.942 0.102 0.941 0.102 0.939

Note: Bias and SE are the bias and standard error of the parameter estimator, respectively; SEE and CP denote the mean of the standard error estimator and the coverage probability of the 95% confidence interval, respectively; V̂1 and V̂2 denote the direct estimation of V and the bootstrap estimation of V, respectively.