Evidence map›Paper›PMID 28239197›Full record

ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2017

Linear Regression with a Randomly Censored Covariate: Application to an Alzheimer's Study.

Folefac D Atem, Jing Qian, Jacqueline E Maye, Keith A Johnson, Rebecca A Betensky

Abstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Extrapolation before imputation reduces bias when imputing censored covariates.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2025
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  8. Cox regression model with randomly censored covariates.Biometrical journal. Biometrische Zeitschrift · 2019
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  11. Cox model with interval-censored covariate in cohort studies.Biometrical journal. Biometrische Zeitschrift · 2018
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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

5 authors at 4 institutions in 1 country.

Folefac D AtemHarvard T.H. Chan School of Public Health, Boston, USA.
Jing QianUniversity of Massachusetts, Amherst, USA.
Jacqueline E MayeMassachusetts General Hospital, Boston, USA.
Keith A JohnsonMassachusetts General Hospital, Boston, USA.
Rebecca A BetenskyHarvard T.H. Chan School of Public Health, Boston, USA.
Harvard University · USBoston University · USMassachusetts General Hospital · USUniversity of Massachusetts Amherst · US

Funding

Vascular factors, physical activity, and inflammation as modulators of neurodegenerative and cognitive trajectories (Project 2)P01AG036694 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Rebecca E Amariglio · 2010 to 2026
$50.2M
THE ROLE OF ADVANCED CAA IN ALZHEIMER'S DEMENTIAP50AG005134 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HYMAN, BRADLEY T. · 1985 to 2018
$42.1M
Specialized Programs of Translational Research in Acute Stroke at the PartnersP50NS051343 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GREENBERG, STEVEN M · 2006 to 2013
$17.5M
Training in Neurostatistics and NeuroepidemiologyT32NS048005 · NINDS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ONNELA, JUKKA-PEKKA · 2004 to 2018
$3.2M
Statistical Methods for Analysis of Failure Time DataR01CA075971 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI BETENSKY, REBECCA A. · 2003 to 2009
$1.3M
NCI NIH HHS R01 CA075971NIA NIH HHS P01 AG036694NIA NIH HHS P50 AG005134NINDS NIH HHS P50 NS051343NINDS NIH HHS T32 NS048005
6 · The paper itself

Abstract

The association between maternal age of onset of dementia and amyloid deposition (measured by in vivo positron emission tomography (PET) imaging) in cognitively normal older offspring is of interest. In a regression model for amyloid, special methods are required due to the random right censoring of the covariate of maternal age of onset of dementia. Prior literature has proposed methods to address the problem of censoring due to assay limit of detection, but not random censoring. We propose imputation methods and a survival regression method that do not require parametric assumptions about the distribution of the censored covariate. Existing imputation methods address missing covariates, but not right censored covariates. In simulation studies, we compare these methods to the simple, but inefficient complete case analysis, and to thresholding approaches. We apply the methods to the Alzheimer's study.

Identifiers

PMID28239197
PMCPMC5319605
OpenAlexW2472115469

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.