(Q23923929)

English

Semiparametric analysis of panel count data with correlated observation and follow-up times

journal article published in 2009

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19 July 2017

Semiparametric analysis of panel count data with correlated observation and follow-up times (English)

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12 July 2017

National Institute for Occupational Safety and Health

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3

Jianguo Sun

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author name string

Xin He

series ordinal

1

0 references

Xingwei Tong

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2

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language of work or name

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10 December 2008

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published in

Lifetime Data Analysis

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volume

15

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issue

2

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page(s)

177-196

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performing organization

University of Maryland

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University of Maryland - College Park

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NIOSHTIC-2

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2 February 2024

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Wikimedia–NIOSH collaboration

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WikiProject Mathematics

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1 reference

25 September 2023

Regression analysis of panel count data with dependent observation times

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https://api.crossref.org/works/10.1007%2FS10985-008-9105-1

retrieved

21 January 2018

Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

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inferred from PubMed ID database lookup

Joint frailty models for recurring events and death using maximum penalized likelihood estimation: application on cancer events

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

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A joint frailty model for survival and gap times between recurrent events.

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

based on heuristic

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Regression analysis of multivariate panel count data

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

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Semiparametric analysis of correlated recurrent and terminal events

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

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Modelling progression of CD4-lymphocyte count and its relationship to survival time.

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

based on heuristic

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A joint model for survival and longitudinal data measured with error

1 reference

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

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A semiparametric likelihood approach to joint modeling of longitudinal and time-to-event data

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/19082711

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12 December 2020

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Analyzing Recurrent Event Data With Informative Censoring

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

based on heuristic

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Shared frailty models for recurrent events and a terminal event

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stated in

PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Analysing panel count data with informative observation times

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

based on heuristic

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Parameter estimation in longitudinal studies with outcome-dependent follow-up.

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

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Analysis of longitudinal data in the presence of informative observational times and a dependent terminal event, with application to medical cost data

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

based on heuristic

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The use of Gaussian quadrature for estimation in frailty proportional hazards models

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stated in

PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/19082711

retrieved

12 December 2020

based on heuristic

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Analysis of Recurrent Events: Nonparametric Methods for Random-Interval Count Data

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Crossref

reference URL

https://api.crossref.org/works/10.1007%2FS10985-008-9105-1

retrieved

7 January 2021

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Identifiers

DOI

10.1007/S10985-008-9105-1

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Dimensions Publication ID

1035013200

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NIOSHTIC-2 ID

20035645

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PubMed publication ID

19082711

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zbMATH Open document ID

1282.62098

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(Q23923929)

Semiparametric analysis of panel count data with correlated observation and follow-up times

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