Evidence map›Paper›PMID 30766452›Full record

ArticleJournal of modern applied statistical methods : JMASM2016

Multiple Imputation When Rate of Change is the Outcome of Interest.

Manisha Desai, Aya A Mitani, Susan W Bryson, Thomas Robinson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of modern applied statistical methods : JMASM, 2016. 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. 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

4 authors.

Manisha DesaiProfessor of Biomedical Informatics Research in the Department of Medicine, Stanford University, Stanford, CA.
Aya A MitaniGraduate student in the Department of Biostatistics, Boston University, Boston, MA.
Susan W BrysonStaff scientist in the Department of Pediatrics, Stanford University, Stanford, CA.
Thomas RobinsonProfessor in the Department of Pediatrics and Medicine, Stanford University, Stanford, CA.

Funding

Clinic, Family & Community Collaboration to Treat Overweight and Obese ChildrenU01HL103629 · NHLBI · STANFORD UNIVERSITY · PI ROBINSON, THOMAS N. · 2010 to 2016
$12.6M
NHLBI NIH HHS U01 HL103629
6 · The paper itself

Abstract

Little research has been devoted to multiple imputation (MI) of derived variables. This study investigates various MI approaches for the outcome, rate of change, when the analysis model is a two-stage linear regression. Simulations showed that competitive approaches depended on the missing data mechanism and presence of auxiliary terms.

Indexed as

active imputationderived variablesmixed effects modelMultiple imputationpassive imputationslopetwo-stage linear regression

Identifiers

PMID30766452
PMCPMC6372125

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.