Evidence map›Paper›PMID 26400088›Full record

ArticleStatistical methods in medical research2017

Detecting time-specific differences between temporal nonlinear curves: Analyzing data from the visual world paradigm.

Jacob J Oleson, Joseph E Cavanaugh, Bob McMurray, Grant Brown

Abstract readComparative Study
In one paragraph

Article in Statistical methods in medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 44 citations in OpenAlex.

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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 at 1 institution in 1 country.

Jacob J Oleson1 Department of Biostatistics, The University of Iowa, Iowa City, Iowa, USA.
Joseph E Cavanaugh1 Department of Biostatistics, The University of Iowa, Iowa City, Iowa, USA.
Bob McMurray2 Department of Psychology, The University of Iowa, Iowa City, Iowa, USA.
Grant Brown1 Department of Biostatistics, The University of Iowa, Iowa City, Iowa, USA.
University of Iowa · US

Funding

Speech Production &LanguageP50DC000242 · NIDCD · UNIVERSITY OF IOWA · PI Bruce Jay Gantz · 1989 to 2026
$58.8M
XANTHINE OXIDASE PRODUCTS IN MODULATION OF ENDOTHELIAL DYSFUNCTIONM01RR000059 · NCRR · UNIVERSITY OF IOWA · PI MCLENNAN, GEOFFREY · 1985 to 2007
$22.3M
The Development of Real Time Spoken and Written Word Recognition: Cognitive Bases of Language and Educational OutcomesR01DC008089 · NIDCD · UNIVERSITY OF IOWA · PI MCMURRAY, BOB · 2007 to 2023
$7.3M
NCRR NIH HHS M01 RR000059NIDCD NIH HHS P50 DC000242NIDCD NIH HHS R01 DC008089
6 · The paper itself

Abstract

In multiple fields of study, time series measured at high frequencies are used to estimate population curves that describe the temporal evolution of some characteristic of interest. These curves are typically nonlinear, and the deviations of each series from the corresponding curve are highly autocorrelated. In this scenario, we propose a procedure to compare the response curves for different groups at specific points in time. The method involves fitting the curves, performing potentially hundreds of serially correlated tests, and appropriately adjusting the overall alpha level of the tests. Our motivating application comes from psycholinguistics and the visual world paradigm. We describe how the proposed technique can be adapted to compare fixation curves within subjects as well as between groups. Our results lead to conclusions beyond the scope of previous analyses.

Indexed as

Nonlinear DynamicsAcoustic StimulationAlgorithmsBiostatisticsCochlear ImplantsComputer SimulationHumansLanguageLogistic ModelsModels, StatisticalNormal DistributionPsycholinguisticsTime FactorsAutocorrelationbootstrapmultiple comparisonstime series

Identifiers

PMID26400088
PMCPMC4805515
OpenAlexW2347154806

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.