Evidence map›Paper›PMID 25541588›Full record

ArticleThe annals of applied statistics2014

Imputation of Truncated

Shaowu Tang, Ying Ding, Etienne Sibille, Jeffrey Mogil, William R Lariviere, George C Tseng

Open access · greenAbstract read
In one paragraph

Article in The annals of applied statistics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 33% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Imputation of TruncatedThe annals of applied statistics · 2014
    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

6 authors at 5 institutions in 3 countries.

Shaowu TangRoche Molecular Systems, Inc.
Ying DingPfizer.
Etienne SibilleUniversity of Toronto.
Jeffrey MogilMcGill University.
William R LariviereUniversity of Pittsburgh.
George C TsengUniversity of Pittsburgh.
University of Pittsburgh · USMcGill University · CAPfizer (United States) · USRoche (Switzerland) · CHUniversity of Toronto · CA

Funding

Integrative Analysis of Transcriptome, Genome and Disease Diversity in MDDR21MH094862 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIBILLE, ETIENNE L, TSENG, GEORGE C. · 2012 to 2013
$371k
NIMH NIH HHS R21 MH094862
6 · The paper itself

Abstract

Microarray analysis to monitor expression activities in thousands of genes simultaneously has become routine in biomedical research during the past decade. a tremendous amount of expression profiles are generated and stored in the public domain and information integration by meta-analysis to detect differentially expressed (DE) genes has become popular to obtain increased statistical power and validated findings. Methods that aggregate transformed

Indexed as

Fisher's methodmeta-analysisMicroarray analysismissing value imputationStouffer's method

Identifiers

PMID25541588
PMCPMC4274812
OpenAlexW2028703934

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.