Semiparametric multi-parameter regression survival modelling
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Semiparametric multi-parameter regression survival modelling. / Burke, Kevin; Eriksson, Frank; Pipper, C. B.
In: Scandinavian Journal of Statistics, Vol. 47, No. 2, 2020, p. 555-571.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Semiparametric multi-parameter regression survival modelling
AU - Burke, Kevin
AU - Eriksson, Frank
AU - Pipper, C. B.
PY - 2020
Y1 - 2020
N2 - We consider a log-linear model for survival data, where both the location and scale parameters depend on covariates and the baseline hazard function is completely unspecified. This model provides the flexibility needed to capture many interesting features of survival data at a relatively low cost in model complexity. Estimation procedures are developed and asymptotic properties of the resulting estimators are derived using empirical process theory. Finally, a resampling procedure is developed to estimate the limiting variances of the estimators. The finite sample properties of the estimators are investigated by way of a simulation study, and a practical application to lung cancer data is illustrated.
AB - We consider a log-linear model for survival data, where both the location and scale parameters depend on covariates and the baseline hazard function is completely unspecified. This model provides the flexibility needed to capture many interesting features of survival data at a relatively low cost in model complexity. Estimation procedures are developed and asymptotic properties of the resulting estimators are derived using empirical process theory. Finally, a resampling procedure is developed to estimate the limiting variances of the estimators. The finite sample properties of the estimators are investigated by way of a simulation study, and a practical application to lung cancer data is illustrated.
KW - stat.ME
KW - 62N01, 62N02, 62N03
U2 - 10.1111/sjos.12416
DO - 10.1111/sjos.12416
M3 - Journal article
VL - 47
SP - 555
EP - 571
JO - Scandinavian Journal of Statistics
JF - Scandinavian Journal of Statistics
SN - 0303-6898
IS - 2
ER -
ID: 212421262