Evidence map›Paper›PMID 33296952›Full record

ArticleStatistics in medicine2021

Longitudinal multivariate normative comparisons.

Zheng Wang, Yu Cheng, Eric C Seaberg, Leah H Rubin, Andrew J Levine, James T Becker, Neuropsychology Working Group of the MACS

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistics in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

7 authors.

Zheng WangDepartment of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Yu ChengDepartment of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-4805-203X
Eric C SeabergDepartment of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA.
Leah H RubinDepartment of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA.
Andrew J LevineDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.
James T BeckerDepartments of Psychiatry, Neurology, and Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Neuropsychology Working Group of the MACSDepartments of Psychiatry, Neurology, and Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

NATURAL HISTORY OF AIDS IN HOMOSEXUAL MENU01AI035040 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DETELS, ROGER, MARTINEZ-MAZA, OTONIEL · 1993 to 2018
$75.2M
University of Pittsburgh Multicenter AIDS Cohort Study (MACS)U01AI035041 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MARTINSON, JEREMY JAMES, RINALDO, CHARLES R · 1993 to 2018
$71.4M
Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
MULTICENTER AIDS COHORT STUDYU01AI035039 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WOLINSKY, STEVEN M · 1993 to 2018
$66.4M
Multicenter Aids Cohort Study- Part B (Baltimore Site)U01AI035042 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BROWN, TODD T, MARGOLICK, JOSEPH B. · 1993 to 2018
$61.5M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Study of Hearing and Balance in Middle Aged and Aging Men and Women in the MACS-WIHS Combined Cohort StudyU01HL146333 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Roger Detels, Matthew James Mimiaga · 2019 to 2026
$32.2M
METHODOLOGICAL EXPERTISE IN INTREPRETING MACS DATAU01AI035043 · NIAID · JOHNS HOPKINS UNIVERSITY · PI JACOBSON, LISA P · 1993 to 2011
$26.9M
Center for the Analysis & Management of the Multicenter AIDS Cohort StudyUM1AI035043 · NIAID · JOHNS HOPKINS UNIVERSITY · PI D'SOUZA, GYPSYAMBER, JACOBSON, LISA P · 2012 to 2018
$20.7M
NCATS NIH HHS UL1 TR001079NHLBI NIH HHS U01 HL146333NIAID NIH HHS P30 AI094189NIAID NIH HHS U01 AI035039NIAID NIH HHS U01 AI035040NIAID NIH HHS U01 AI035041NIAID NIH HHS U01 AI035042NIAID NIH HHS U01 AI035043NIAID NIH HHS UM1 AI035043
6 · The paper itself

Abstract

Motivated by the Multicenter AIDS Cohort Study (MACS), we develop classification procedures for cognitive impairment based on longitudinal measures. To control family-wise error, we adapt the cross-sectional multivariate normative comparisons (MNC) method to the longitudinal setting. The cross-sectional MNC was proposed to control family-wise error by measuring the distance between multiple domain scores of a participant and the norms of healthy controls and specifically accounting for intercorrelations among all domain scores. However, in a longitudinal setting where domain scores are recorded multiple times, applying the cross-sectional MNC at each visit will still have inflated family-wise error rate due to multiple testing over repeated visits. Thus, we propose longitudinal MNC procedures that are constructed based on multivariate mixed effects models. A

Indexed as

Cognitive DysfunctionCohort StudiesCross-Sectional StudiesHumansNeuropsychological TestsResearch Designcognitive impairmentfalse discovery ratefamily-wise error ratelongitudinal analysismultivariate mixed-effect model

Identifiers

PMID33296952
PMCPMC9157690

What OpenQuestion holds

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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.