Evidence map›Paper›PMID 31571721›Full record

ArticleCommunications in statistics: theory and methods2019

A Likelihood Based Approach for Joint Modeling of Longitudinal Trajectories and Informative Censoring Process.

Miran A Jaffa, Ayad A Jaffa

Abstract read
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In one paragraph

Article in Communications in statistics: theory and methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Miran A JaffaEpidemiology and Population Health Department, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Ayad A JaffaDepartment of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.

Funding

SECRETED ADIPOCYTE PROTEINS, INSULIN RESISTANCE VASCULARP01HL055782 · NHLBI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI LOPES-VIRELLA, MARIA F · 1996 to 2005
$8.9M
MECHANISMS OF VASCULAR DISEASE IN DIABETESR01HL077192 · NHLBI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI JAFFA, AYAD A · 2006 to 2017
$3.4M
NHLBI NIH HHS P01 HL055782NHLBI NIH HHS R01 HL077192
6 · The paper itself

Abstract

We propose a joint modeling likelihood-based approach for studies with repeated measures and informative right censoring. Joint modeling of longitudinal and survival data are common approaches but could result in biased estimates if proportionality of hazards is violated. To overcome this issue, and given that the exact time of dropout is typically unknown, we modeled the censoring time as the number of follow-up visits and extended it to be dependent on selected covariates. Longitudinal trajectories for each subject were modeled to provide insight into disease progression and incorporated with the number follow-up visits in one likelihood function.

Indexed as

Biomarkers of kidney diseaseInformative right censoringJoint modelingLatent random variablesLikelihood-based approachLongitudinal dataMaximum likelihood estimationShared random effects

Identifiers

PMID31571721
PMCPMC6768558

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.