[图书][B] Multivariable model-building: a pragmatic approach to regression anaylsis based on fractional polynomials for modelling continuous variables
P Royston, W Sauerbrei - 2008 - books.google.com
Multivariable regression models are of fundamental importance in all areas of science in
which empirical data must be analyzed. This book proposes a systematic approach to …
which empirical data must be analyzed. This book proposes a systematic approach to …
[图书][B] Dynamic regression models for survival data
T Martinussen, TH Scheike - 2006 - Springer
Dynamic Regression Models for Survival Data | SpringerLink Skip to main content
Advertisement SpringerLink Log in Menu Find a journal Publish with us Search Cart Book cover …
Advertisement SpringerLink Log in Menu Find a journal Publish with us Search Cart Book cover …
On the Cox model with time-varying regression coefficients
In the analysis of censored failure time observations, the standard Cox proportional hazards
model assumes that the regression coefficients are time invariant. Often, these parameters …
model assumes that the regression coefficients are time invariant. Often, these parameters …
Fifty years with the Cox proportional hazards regression model
PK Andersen - Journal of the Indian Institute of Science, 2022 - Springer
The 1972 paper introducing the Cox proportional hazards regression model is one of the
most widely cited statistical articles. In the present article, we give an account of the model …
most widely cited statistical articles. In the present article, we give an account of the model …
Local linear estimation for time‐dependent coefficients in Cox's regression models
This article develops a local partial likelihood technique to estimate the time‐dependent
coefficients in Cox's regression model. The basic idea is a simple extension of the local …
coefficients in Cox's regression model. The basic idea is a simple extension of the local …
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 …
based on Cox's regression model. We here review some recent methodology, focusing on …
[图书][B] Interval-censored time-to-event data: methods and applications
Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent
techniques, models, and computational tools for interval-censored time-to-event data. Top …
techniques, models, and computational tools for interval-censored time-to-event data. Top …
An additive–multiplicative Cox–Aalen regression model
TH Scheike, MJ Zhang - Scandinavian Journal of Statistics, 2002 - Wiley Online Library
We propose an additive–multiplicative intensity model that extends the Cox regression
model as well as the additive Aalen model. Instead of having a simple baseline intensity the …
model as well as the additive Aalen model. Instead of having a simple baseline intensity the …
Regression modeling of semicompeting risks data
L Peng, JP Fine - Biometrics, 2007 - academic.oup.com
Semicompeting risks data are often encountered in clinical trials with intermediate endpoints
subject to dependent censoring from informative dropout. Unlike with competing risks data …
subject to dependent censoring from informative dropout. Unlike with competing risks data …
Time-varying effects in the analysis of customer loyalty: A case study in insurance
Insurance customers usually hold more than one contract with the same insurer. A
generalization of classical survival analysis methods is used to examine the risk of losing a …
generalization of classical survival analysis methods is used to examine the risk of losing a …