Now showing items 21-30 of 59
A risk-adjusted CUSUM in continuous time based on the Cox model
(John Wiley & Sons, Ltd., 2008-07-30)
There was a mistake in the contact information of the second author in the above paper (DOI: 10.1002/sim.3216 ). The correct affiliation is shown above. We apologise for the error and any inconvenience caused.
Balanced centralized and distributed database design in a clinical research environment
(John Wiley & Sons, Ltd., 2000-06-15)
Clinical research databases can meet both research and clinical needs, but this ideal is seldom achieved. Priorities often differ for those who collect and ultimately use the data and those who develop data systems. ...
A penalized likelihood approach for mixture cure models
(John Wiley & Sons, Ltd., 2009-02-01)
Cure models have been developed to analyze failure time data with a cured fraction. For such data, standard survival models are usually not appropriate because they do not account for the possibility of cure. Mixture cure ...
On weighting the rates in non-response weights
(John Wiley & Sons, Ltd., 2003-05-15)
A basic estimation strategy in sample surveys is to weight units inversely proportional to the probability of selection and response. Response weights in this method are usually estimated by the inverse of the sample-weighted ...
Variance estimation for clustered recurrent event data with a small number of clusters
(John Wiley & Sons, Ltd., 2005-10-15)
Often in biomedical studies, the event of interest is recurrent and within-subject events cannot usually be assumed independent. In semi-parametric estimation of the proportional rates model, a working independence assumption ...
Multiple imputation for interval censored data with auxiliary variables
(John Wiley & Sons, Ltd., 2007-02-20)
We propose a non-parametric multiple imputation scheme, NPMLE imputation, for the analysis of interval censored survival data. Features of the method are that it converts interval-censored data problems to complete data ...
Combining information from multiple surveys to enhance estimation of measures of health This article is a U.S. Government work and is in the public domain in the U.S.A.
(John Wiley & Sons, Ltd., 2007-04-15)
Survey estimates are often affected by non-sampling errors due to missing data, coverage error, and measurement or response error. Such non-sampling errors can be difficult to assess, and possibly correct for, using ...
Non-parametric paired two-sample tests for censored survival data incorporating longitudinal covariate information
(John Wiley & Sons, Ltd., 2005-01-30)
In this manuscript, we present non-parametric two-sample tests for paired censored survival data incorporating longitudinal covariate information. These tests take advantage of information collected at baseline and ...
Group sequential monitoring of years of life saved with paired censored survival data
(John Wiley & Sons, Ltd., 2002-01-30)
This research develops non-parametric methodology for sequential monitoring of paired time-to-event data when comparing years of life saved, or years where any unpleasant outcome is delayed, is of interest. The recommended ...
Health-seeking behavior and hospital choice in China's New Cooperative Medical System
(John Wiley & Sons, Ltd., 2009-07)
Since the dissolution of the Rural Cooperative Medical System at the end of the commune period, illness has emerged as a leading cause of poverty in rural China. To address the poor state of health care, the Chinese ...