Measurement Error for Age of Onset in Prevalent Cohort Studies

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

"Measurement Error for Age of Onset in Prevalent Cohort Studies"
written by Yujie Zhong, Richard J. Cook,
published by Applied Mathematics, Vol.5 No.11, 2014

has been cited by the following article(s):

[1]	Determining sample sizes for combined incident and prevalent cohort studies with and without follow-up
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[2]	Leveraging data structure in modelling procedures for time-to-event studies
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[3]	A note on the applicability of the standard nonparametric maximum likelihood estimator for combined incident and prevalent cohort data
	2020

[4]	Parametric modelling of prevalent cohort data with uncertainty in the measurement of the initial onset date
	2019

[5]	Substance use disorders and depression: An examination of their relationship and the role of repetitive negative thinking as a shared risk factor
	2018

[6]	Substance use disorders, depression and social phobia: An examination of co-occurring disorders
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[7]	Analysis of Left-truncated Right-censored Survival Data with Uncertainty of Onset Times
	2017

[8]	Life History Analysis with Response-Dependent Observation
	2015

[1]	Determining sample sizes for combined incident and prevalent cohort studies with and without follow-up Statistical Methods & Applications, 2024 DOI:10.1007/s10260-024-00744-2

[2]	Determining sample sizes for combined incident and prevalent cohort studies with and without follow-up Statistical Methods & Applications, 2024 DOI:10.1007/s10260-024-00744-2

[3]	A note on the applicability of the standard nonparametric maximum likelihood estimator for combined incident and prevalent cohort data Stat, 2020 DOI:10.1002/sta4.280

[4]	A note on the applicability of the standard nonparametric maximum likelihood estimator for combined incident and prevalent cohort data Stat, 2020 DOI:10.1002/sta4.280

[5]	Parametric modelling of prevalent cohort data with uncertainty in the measurement of the initial onset date Lifetime Data Analysis, 2019 DOI:10.1007/s10985-019-09481-1