Flexible survival regression modelling

G Cortese, TH Scheike… - Statistical methods in …, 2010 - journals.sagepub.com
Regression analysis of survival data, and more generally event history data, is typically
based on Cox's regression model. We here review some recent methodology, focusing on …

Cox regression model with time-varying coefficients in nested case–control studies

M Liu, W Lu, RE Shore, A Zeleniuch-Jacquotte - Biostatistics, 2010 - academic.oup.com
The nested case–control (NCC) design is a cost-effective sampling method to study the
relationship between a disease and its risk factors in epidemiologic studies. NCC data are …

Censored quantile regression with partially functional effects

J Qian, L Peng - Biometrika, 2010 - academic.oup.com
Quantile regression offers a flexible approach to analyzing survival data, allowing each
covariate effect to vary with quantiles. In practice, constancy is often found to be adequate for …

Assessment of time-varying long-term effects of therapies and prognostic factors

A Buchholz - 2010 - 129.217.131.68
This thesis has been written in the framework of a project of the research unit DFG 534
“Statistical modeling and data analysis in clinical epidemiology “at the Institute of Medical …

Improving statistical analysis of prospective clinical trials in stem cell transplantation. An inventory of new approaches in survival analysis

A Latouche - 2010 - biostats.bepress.com
The CLINT project is an European Union funded project, run as a specific support action,
under the sixth framework programme. It is a 2 year project aimed at supporting the …

Assessing group differences in estimated baseline survivor functions from cox proportional hazards models

DA Powers - Sociological methods & research, 2010 - journals.sagepub.com
The author discusses the general problem of evaluating differences in adjusted survivor
functions and develops a heuristic approach to generate the expected events that would …