Evidence map›Paper›PMID 37647221›Full record

ArticleStatistical methods in medical research2023

Weighted mean difference statistics for paired data in the presence of missing values.

Yuntong Li, Brent J Shelton, William St Clair, Heidi L Weiss, John L Villano, Arnold J Stromberg, Chi Wang, Li Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistical methods in medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. F-BAR Proteins CIP4 and FBP17 Function in Cortical Neuron Radial Migration and Process Outgrowth.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    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

8 authors.

Yuntong LiRegeneron Pharmaceuticals, Basking Ridge, NJ, USA.
Brent J SheltonBiostatistics and Bioinformatics Shared Resource Facility, Markey Cancer Center, University of Kentucky, Lexington, KY, USA.
William St ClairDepartment of Radiation Medicine, University of Kentucky, Lexington, KY, USA.
Heidi L WeissBiostatistics and Bioinformatics Shared Resource Facility, Markey Cancer Center, University of Kentucky, Lexington, KY, USA.
John L VillanoDepartment of Internal Medicine, University of Kentucky, Lexington, KY, USA.
Arnold J StrombergDepartment of Statistics, University of Kentucky, Lexington, KY, USA.
Chi WangBiostatistics and Bioinformatics Shared Resource Facility, Markey Cancer Center, University of Kentucky, Lexington, KY, USA.
Li ChenBiostatistics and Bioinformatics Shared Resource Facility, Markey Cancer Center, University of Kentucky, Lexington, KY, USA.ORCID 0000-0001-9719-7652

Funding

WKU Lead Faculty AwardP20GM103436 · NIGMS · UNIVERSITY OF LOUISVILLE · PI ERIC C ROUCHKA · 2012 to 2026
$60.1M
University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Jennifer F Rogers · 2013 to 2026
$38.3M
Rel B mediated-redox regulation of radiation therapyR01CA143428 · NCI · UNIVERSITY OF KENTUCKY · PI ST CLAIR, DARET K, ST CLAIR, WILLIAM H · 2011 to 2015
$1.9M
Statistical Methods for Environmental Data Subject to Detection LimitsR03CA179661 · NCI · UNIVERSITY OF KENTUCKY · PI CHEN, LI · 2015 to 2016
$150k
NCI NIH HHS P30 CA177558NCI NIH HHS R01 CA143428NCI NIH HHS R03 CA179661NIGMS NIH HHS P20 GM103436
6 · The paper itself

Abstract

Missing data is a common issue in many biomedical studies. Under a paired design, some subjects may have missing values in either one or both of the conditions due to loss of follow-up, insufficient biological samples, etc. Such partially paired data complicate statistical comparison of the distribution of the variable of interest between the two conditions. In this article, we propose a general class of test statistics based on the difference in weighted sample means without imposing any distributional or model assumption. An optimal weight is derived from this class of tests. Simulation studies show that our proposed test with the optimal weight performs well and outperforms existing methods in practical situations. Two cancer biomarker studies are provided for illustration.

Indexed as

biomarker datamean difference testsmissing datanonparametric testsPaired data

Identifiers

PMID37647221
PMCPMC12483616

What Socratic 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 Socratic graph.