Other formats:
BibTeX
LaTeX
RIS
@article{1324012, author = {Kraus, David}, article_location = {Amsterdam}, article_number = {4}, doi = {http://dx.doi.org/10.1016/j.spl.2004.10.014}, keywords = {counting process; Cox-Aalen model; goodness-of-fit; hazard regression; martingale; residual; survival analysis}, language = {eng}, issn = {0167-7152}, journal = {Statistics & Probability Letters}, title = {Goodness-of-fit inference for the Cox-Aalen additive-multiplicative regression model}, volume = {70}, year = {2004} }
TY - JOUR ID - 1324012 AU - Kraus, David PY - 2004 TI - Goodness-of-fit inference for the Cox-Aalen additive-multiplicative regression model JF - Statistics & Probability Letters VL - 70 IS - 4 SP - 285-298 EP - 285-298 PB - Elsevier Science BV SN - 01677152 KW - counting process KW - Cox-Aalen model KW - goodness-of-fit KW - hazard regression KW - martingale KW - residual KW - survival analysis N2 - The Cox-Aalen additive-multiplicative intensity model of Scheike and Zhang (Scand. J. Statist. 29, 2002) is considered. We study goodness-of-fit tests based on the stratified martingale residual process. Asymptotic distribution of the process is derived and the Kolmogorov-Smirnov type test is constructed. Several ways of overcoming the problem of complexity of the limiting distribution are discussed. The results are accompanied by a small Monte Carlo study. (C) 2004 Elsevier B.V. All rights reserved. ER -
KRAUS, David. Goodness-of-fit inference for the Cox-Aalen additive-multiplicative regression model. \textit{Statistics \&{} Probability Letters}. Amsterdam: Elsevier Science BV, 2004, vol.~70, No~4, p.~285-298. ISSN~0167-7152. Available from: https://dx.doi.org/10.1016/j.spl.2004.10.014.
|