ArticleStatistics in medicine2023
Dynamic impairment classification through arrayed comparisons.
Zheng Wang, Zi Wang, Lingyun Lyu, Yu Cheng, Eric C Seaberg, Samantha A Molsberry, Ann Ragin, James T Becker
Open access · greenAbstract readMulticenter Study
In one paragraphArticle in Statistics in medicine, 2023. 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, top 88% of its field
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed, 0 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
8 authors at 4 institutions in 1 country.
Zheng WangDepartment of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Zi WangDepartment of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Lingyun LyuDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Eric C SeabergDepartment of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA.
Samantha A MolsberryPopulation Health Sciences, Harvard University, Cambridge, Massachusetts, USA.
Ann RaginDepartment of Radiology, Northwestern University, Chicago, Illinois, USA.
James T BeckerDepartments of Psychiatry, Neurology, and Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
University of Pittsburgh · USHarvard University · USJohns Hopkins University · USNorthwestern University · US
Funding
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1MVirology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1MEngaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0MVirology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9MVirology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0MQAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7MSF Bay Area MACS/WIHS Combined Cohort StudyU01HL146242 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bradley E Aouizerat, Jennifer Cohen Price · 2019 to 2026
$36.3MSex differences in the role of multi-omicsin HIV-associated carotid artery atherosclerosisU01HL146193 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Stephen J Gange, Elizabeth Topper · 2019 to 2026
$35.8MUniversity of Miami Developmental Center for AIDS Research (D-CFAR)P30AI073961 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ALLAN E RODRIGUEZ · 2007 to 2026
$33.8MClinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS) - Baltimore/Wash DC Center - Admin Supplement: Vision and dual sensory loss in HIV-infected older adultsU01HL146201 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TODD T BROWN, Joseph B. Margolick · 2019 to 2026
$33.7MSex differences in the role of multi-omics in HIV-associated carotid artery atherosclerosisU01HL146204 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI David B. Hanna, Anjali Sharma · 2019 to 2026
$33.2MUniversity of Pittsburgh MWCCS Clinical Research SiteU01HL146208 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Bernard Jonas C Macatangay, CHARLES R RINALDO · 2019 to 2026
$32.2MNCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1 TR001881NCATS NIH HHS UL1 TR003098NHLBI NIH HHS U01 HL146192NHLBI NIH HHS U01 HL146193NHLBI NIH HHS U01 HL146194NHLBI NIH HHS U01 HL146201NHLBI NIH HHS U01 HL146202NHLBI NIH HHS U01 HL146203NHLBI NIH HHS U01 HL146204NHLBI NIH HHS U01 HL146205NHLBI NIH HHS U01 HL146208NHLBI NIH HHS U01 HL146240NHLBI NIH HHS U01 HL146241NHLBI NIH HHS U01 HL146242NHLBI NIH HHS U01 HL146245NHLBI NIH HHS U01 HL146333NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI050409NIAID NIH HHS P30 AI050410NIAID NIH HHS P30 AI073961NIA NIH HHS R01 AG034852NIMH NIH HHS P30 MH116867
6 · The paper itselfAbstract
The multivariate normative comparison (MNC) method has been used for identifying cognitive impairment. When participants' cognitive brain domains are evaluated regularly, the longitudinal MNC (LMNC) has been introduced to correct for the intercorrelation among repeated assessments of multiple cognitive domains in the same participant. However, it may not be practical to wait until the end of study for diagnosis. For example, in participants of the Multicenter AIDS Cohort Study (MACS), cognitive functioning has been evaluated repeatedly for more than 35 years. Therefore, it is optimal to identify cognitive impairment at each assessment, while the family-wise error rate (FWER) is controlled with unknown number of assessments in future. In this work, we propose to use the difference of consecutive LMNC test statistics to construct independent tests. Frequency modeling can help predict how many assessments each participant will have, so Bonferroni-type correction can be easily adapted. A chi-squared test is used under the assumption of multivariate normality, and permutation test is proposed where this assumption is violated. We showed through simulation and the MACS data that our method controlled FWER below a predetermined level.
Indexed as
Acquired Immunodeficiency SyndromeCognitive DysfunctionBrainCognitionCohort StudiesComputer SimulationHumanscognitive impairmentdynamic classificationfamily-wise error ratefrequency modelingmultivariate mixed-effect modelsequential test
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PMID36318895
PMCPMC9798442
OpenAlexW4307824476
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