Evidence map›Paper›PMID 40270979›Full record

ArticleCommunications in statistics: Simulation and computation2025

The Role of Weighting Adjustment for Attrition in Longitudinal Trajectory Modeling: A Simulation Study.

Brady T West, Yajuan Si, Yueying Hu, Sean E McCabe, Phil Veliz

Abstract read
In one paragraph

Article in Communications in statistics: Simulation and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trends and Sociodemographic Differences in Tobacco/Nicotine Transitions Among U.S. Adolescents and Young Adults Using e-cigarettes, 2014-2023.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2025
    Article
  2. 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

5 authors.

Brady T WestSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor; Department of Biostatistics, University of Michigan, Ann Arbor; Center for the Study of Drugs, Alcohol, Smoking and Health, Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor.
Yajuan SiSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor; Department of Biostatistics, University of Michigan, Ann Arbor.
Yueying HuDepartment of Biostatistics, University of Michigan, Ann Arbor.
Sean E McCabeCenter for the Study of Drugs, Alcohol, Smoking and Health, Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor.
Phil VelizCenter for the Study of Drugs, Alcohol, Smoking and Health, Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor; Department of Systems, Populations and Leadership, School of Nursing, University of Michigan, Ann Arbor.

Funding

Trajectories of Prescription Nonmedical Drug MisuseR01DA031160 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEAN ESTEBAN MCCABE · 2011 to 2026
$3.7M
NIDA NIH HHS R01 DA031160
6 · The paper itself

Abstract

Most longitudinal surveys construct weights and release wave-specific weights to adjust for attrition. However, there is no clear consensus in the literature on whether or how to apply weights in longitudinal trajectory modeling. We present a simulation study, motivated by a real-life longitudinal study of substance use, and consider different missing data mechanisms, weight construction processes, and specifications of substantive models of interest. Based on the results of the simulation study, we provide practical recommendations for analysts of longitudinal survey data with respect to weighting approaches that should be considered in alternative scenarios.

Indexed as

attritionsimulationsurvey weightingtrajectory modeling

Identifiers

PMID40270979
PMCPMC12014153

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.