Pseudo-observations in survival analysis
PK Andersen, M Pohar Perme - Statistical methods in …, 2010 - journals.sagepub.com
We review recent work on the application of pseudo-observations in survival and event
history analysis. This includes regression models for parameters like the survival function in …
history analysis. This includes regression models for parameters like the survival function in …
Survival analysis in clinical trials: past developments and future directions
TR Fleming, DY Lin - Biometrics, 2000 - Wiley Online Library
The field of survival analysis emerged in the 20th century and experienced tremendous
growth during the latter half of the century. The developments in this field that have had the …
growth during the latter half of the century. The developments in this field that have had the …
A proportional hazards model for the subdistribution of a competing risk
JP Fine, RJ Gray - Journal of the American statistical association, 1999 - Taylor & Francis
With explanatory covariates, the standard analysis for competing risks data involves
modeling the cause-specific hazard functions via a proportional hazards assumption …
modeling the cause-specific hazard functions via a proportional hazards assumption …
[图书][B] Applied survival analysis: regression modeling of time-to-event data
THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-
EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition …
EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition …
A general theory of hypothesis tests and confidence regions for sparse high dimensional models
A general theory of hypothesis tests and confidence regions for sparse high dimensional
models Page 1 The Annals of Statistics 2017, Vol. 45, No. 1, 158–195 DOI: 10.1214/16-AOS1448 …
models Page 1 The Annals of Statistics 2017, Vol. 45, No. 1, 158–195 DOI: 10.1214/16-AOS1448 …
[图书][B] Survival and event history analysis: a process point of view
O Aalen, O Borgan, H Gjessing - 2008 - books.google.com
Time-to-event data are ubiquitous in fields such as medicine, biology, demography,
sociology, economics and reliability theory. Recently, a need to analyze more complex event …
sociology, economics and reliability theory. Recently, a need to analyze more complex event …
Tutorial in biostatistics: competing risks and multi‐state models
Standard survival data measure the time span from some time origin until the occurrence of
one type of event. If several types of events occur, a model describing progression to each of …
one type of event. If several types of events occur, a model describing progression to each of …
[图书][B] Competing risks and multistate models with R
J Beyersmann, A Allignol, M Schumacher - 2011 - books.google.com
This book covers competing risks and multistate models, sometimes summarized as event
history analysis. These models generalize the analysis of time to a single event (survival …
history analysis. These models generalize the analysis of time to a single event (survival …
Adjusting for nonignorable drop-out using semiparametric nonresponse models
DO Scharfstein, A Rotnitzky… - Journal of the American …, 1999 - Taylor & Francis
Consider a study whose design calls for the study subjects to be followed from enrollment
(time t= 0) to time t= T, at which point a primary endpoint of interest Y is to be measured. The …
(time t= 0) to time t= T, at which point a primary endpoint of interest Y is to be measured. The …
[图书][B] The statistical analysis of interval-censored failure time data
J Sun - 2006 - Springer
Survival analysis, the analysis of failure time data, is a rapid developing area and a number
of books on the topic have been published in last twenty-five years. However, all of these …
of books on the topic have been published in last twenty-five years. However, all of these …