id: 06036318
dt: j
an: 06036318
au: Hattori, Satoshi
ti: Testing the no-treatment effect based on a possibly misspecified
    accelerated failure time model.
so: Stat. Probab. Lett. 82, No. 2, 371-377 (2012).
py: 2012
pu: Elsevier Science B.V. (North-Holland), Amsterdam
la: EN
cc: 
ut: covariate adjustment; logrank test; minimum dispersion statistic;
    randomized clinical trial; resampling
ci: 
li: doi:10.1016/j.spl.2011.10.016
ab: Summary: The accelerated failure time model is a useful alternative to the
    Cox proportional hazard model. We investigate whether or not a
    misspecified accelerated failure time model provides a valid test of
    the no-treatment effect in randomized clinical trials. We show that the
    minimum dispersion statistic based on rank regression by Wei et al.
    (1990) must be modified in order to conduct valid tests under
    misspecification, whereas the resampling-based methods by Jin et al.
    (2003) are valid without any modification. Numerical studies are
    conducted to examine the small sample behavior of the modified minimum
    dispersion statistic and the resampling-based method. Finally, an
    illustration is given with a dataset from a clinical trial.
rv: