[图书][B] Dynamic regression models for survival data
T Martinussen, TH Scheike - 2006 - Springer
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Local partial-likelihood estimation for lifetime data
J Fan, H Lin, Y Zhou - 2006 - projecteuclid.org
This paper considers a proportional hazards model, which allows one to examine the extent
to which covariates interact nonlinearly with an exposure variable, for analysis of lifetime …
to which covariates interact nonlinearly with an exposure variable, for analysis of lifetime …
Statistical Inference for two-sample and regression models with heterogeneity effect: a collected-sample perspective
HDI Wu - Probability, statistics and modelling in public health, 2006 - Springer
Heterogeneity effect is an important issue in the analysis of clinical trials, survival data, and
epidemiological cohort studies. This article reviews the works of inference for heterogeneity …
epidemiological cohort studies. This article reviews the works of inference for heterogeneity …
[图书][B] Directed model checks for regression models from survival analysis
A Gandy - 2006 - ma.imperial.ac.uk
The proportional hazards model is the most frequently used regression model from survival
analysis. However, since its introduction by Cox (1972), many other regression models have …
analysis. However, since its introduction by Cox (1972), many other regression models have …
Testing under a modified Cox regression model
M Brendel - 2006 - ediss.sub.uni-hamburg.de
The determination of the influence of covariates on survival times is a common issue in
biomedical research. The interaction between covariates and survival times can be specified …
biomedical research. The interaction between covariates and survival times can be specified …
[PDF][PDF] Lebensdauermodelle mit flexibler Hazardrate
S Pilz - 2006 - edoc.ub.uni-muenchen.de
Diese Arbeit entstand während meiner Tätigkeit als wissenschaftlicher Mitarbeiter am Institut
für Statistik der Ludwig-Maximilians-Universität München. Ich möchte mich bei allen …
für Statistik der Ludwig-Maximilians-Universität München. Ich möchte mich bei allen …