[图书][B] Biased sampling, over-identified parameter problems and beyond
J Qin - 2017 - Springer
When I was a graduate student more than twenty five years ago, I was struggling to read
many statistical research papers. This is particularly true at the time when I had passed my …
many statistical research papers. This is particularly true at the time when I had passed my …
Statistical methods for analyzing right-censored length-biased data under Cox model
J Qin, Y Shen - Biometrics, 2010 - academic.oup.com
Length-biased time-to-event data are commonly encountered in applications ranging from
epidemiological cohort studies or cancer prevention trials to studies of labor economy. A …
epidemiological cohort studies or cancer prevention trials to studies of labor economy. A …
Analyzing length-biased data with semiparametric transformation and accelerated failure time models
Right-censored time-to-event data are often observed from a cohort of prevalent cases that
are subject to length-biased sampling. Informative right censoring of data from the prevalent …
are subject to length-biased sampling. Informative right censoring of data from the prevalent …
Nonparametric and semiparametric regression estimation for length-biased survival data
For the past several decades, nonparametric and semiparametric modeling for conventional
right-censored survival data has been investigated intensively under a noninformative …
right-censored survival data has been investigated intensively under a noninformative …
Maximum likelihood estimations and EM algorithms with length-biased data
Length-biased sampling has been well recognized in economics, industrial reliability,
etiology applications, and epidemiological, genetic, and cancer screening studies. Length …
etiology applications, and epidemiological, genetic, and cancer screening studies. Length …
Nonparametric estimation for length-biased and right-censored data
CY Huang, J Qin - Biometrika, 2011 - academic.oup.com
This paper considers survival data arising from length-biased sampling, where the survival
times are left truncated by uniformly distributed random truncation times. We propose a …
times are left truncated by uniformly distributed random truncation times. We propose a …
Checking stationarity of the incidence rate using prevalent cohort survival data
M Asgharian, DB Wolfson, X Zhang - Statistics in medicine, 2006 - Wiley Online Library
When survival data are collected as part of a prevalent cohort study with follow‐up, the
recruited cases have already experienced their initiating event, say onset of a disease, and …
recruited cases have already experienced their initiating event, say onset of a disease, and …
Composite partial likelihood estimation under length-biased sampling, with application to a prevalent cohort study of dementia
CY Huang, J Qin - Journal of the American Statistical Association, 2012 - Taylor & Francis
The Canadian Study of Health and Aging (CSHA) employed a prevalent cohort design to
study survival after onset of dementia, where patients with dementia were sampled and the …
study survival after onset of dementia, where patients with dementia were sampled and the …
A unified approach to semiparametric transformation models under general biased sampling schemes
We propose a unified estimation method for semiparametric linear transformation models
under general biased sampling schemes. The new estimator is obtained from a set of …
under general biased sampling schemes. The new estimator is obtained from a set of …
Nonparametric estimation for right-censored length-biased data: a pseudo-partial likelihood approach
X Luo, WY Tsai - Biometrika, 2009 - academic.oup.com
To estimate the lifetime distribution of right-censored length-biased data, we propose a
pseudo-partial likelihood approach that allows us to derive two nonparametric estimators …
pseudo-partial likelihood approach that allows us to derive two nonparametric estimators …