[图书][B] Handbook of survival analysis
JP Klein, HC Van Houwelingen, JG Ibrahim… - 2014 - api.taylorfrancis.com
This volume examines modern techniques and research problems in the analysis of lifetime
data analysis. This area of statistics deals with time-to-event data which is complicated not …
data analysis. This area of statistics deals with time-to-event data which is complicated not …
Exposure stratified case-cohort designs
A variant of the case-cohort design is proposed for the situation in which a correlate of the
exposure (or prognostic factor) of interest is available for all cohort members, and exposure …
exposure (or prognostic factor) of interest is available for all cohort members, and exposure …
[HTML][HTML] Testing the proportional hazards assumption in case-cohort analysis
X Xue, X Xie, M Gunter, TE Rohan… - BMC medical research …, 2013 - Springer
Background Case-cohort studies have become common in epidemiological studies of rare
disease, with Cox regression models the principal method used in their analysis. However …
disease, with Cox regression models the principal method used in their analysis. However …
Weighted likelihood for semiparametric models and two‐phase stratified samples, with application to Cox regression
NE Breslow, JA Wellner - Scandinavian Journal of Statistics, 2007 - Wiley Online Library
We consider semiparametric models for which solution of Horvitz–Thompson or inverse
probability weighted (IPW) likelihood equations with two‐phase stratified samples leads to …
probability weighted (IPW) likelihood equations with two‐phase stratified samples leads to …
Improving the efficiency of relative-risk estimation in case-cohort studies
M Kulich, DY Lin - Journal of the American Statistical Association, 2004 - Taylor & Francis
The case-cohort design is a common means of reducing the cost of covariate measurements
in large failure-time studies. Under this design, complete covariate data are collected only …
in large failure-time studies. Under this design, complete covariate data are collected only …
Efficient estimation of semiparametric transformation models for two-phase cohort studies
Under two-phase cohort designs, such as case–cohort and nested case–control sampling,
information on observed event times, event indicators, and inexpensive covariates is …
information on observed event times, event indicators, and inexpensive covariates is …
Survival analysis
F Jiang, E Guterman - Statistical Methods in Epilepsy, 2024 - taylorfrancis.com
This chapter reviews motivations, statistical concepts, and practical implementation of
survival analysis. These methods are used across a broad range of disciplines when …
survival analysis. These methods are used across a broad range of disciplines when …
Stratified case‐cohort analysis of general cohort sampling designs
SO Samuelsen, H Ånestad… - Scandinavian journal of …, 2007 - Wiley Online Library
It is shown that variance estimates for regression coefficients in exposure‐stratified case‐
cohort studies (Borgan et al., Lifetime Data Anal., 6, 2000, 39–58) can easily be obtained …
cohort studies (Borgan et al., Lifetime Data Anal., 6, 2000, 39–58) can easily be obtained …
Recent progresses in outcome-dependent sampling with failure time data
An outcome-dependent sampling (ODS) design is a retrospective sampling scheme where
one observes the primary exposure variables with a probability that depends on the …
one observes the primary exposure variables with a probability that depends on the …
More efficient estimators for case-cohort studies
The case-cohort study design, used to reduce costs in large cohort studies, involves a
random sample of the entire cohort, called the subcohort, augmented with subjects having …
random sample of the entire cohort, called the subcohort, augmented with subjects having …