Evidence map›Paper›PMID 24084395›Full record

ArticleHealth education & behavior : the official publication of the Society for Public Health Education2013

Reconciling statistical and systems science approaches to public health.

Edward H Ip, Hazhir Rahmandad, David A Shoham, Ross Hammond, Terry T-K Huang, Youfa Wang, Patricia L Mabry

Abstract read
In one paragraph

Article in Health education & behavior : the official publication of the Society for Public Health Education, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Edward H Ip1Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Hazhir Rahmandad
David A Shoham
Ross Hammond
Terry T-K Huang
Youfa Wang
Patricia L Mabry

Funding

MULTILEVEL SYSTEMS-ORIENTED CHILDHOOD OBESITY STUDY IN CHINAU54HD070725 · NICHD · JOHNS HOPKINS UNIVERSITY · PI CURRIERO, FRANK · 2011 to 2016
$15.9M
Dynamic Multichain Graphical Models for the Analysis of Childhood Obesity DataU01HL101066 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI IP, EDWARD HAKSING · 2009 to 2013
$1.7M
Causes and Interventions for Childhood Obesity:Innovative Systems AnalysisR01HD064685 · NICHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WANG, YOUFA · 2010 to 2013
$1.2M
MOTS: Modeling Obesity Through SimulationR01HD061978 · NICHD · LOYOLA UNIVERSITY CHICAGO · PI LUKE, AMY H, SHOHAM, DAVID A · 2011 to 2013
$1.0M
System-subsystem modeling with an application to disability in older adultsR21AG042761 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI IP, EDWARD HAKSING · 2012 to 2013
$397k
MECHANISM OF STRETCH REFLEX MODIFICATION IN SPASTICITYF32HD008023 · NICHD · REHABILITATION INSTITUTE OF CHICAGO · PI CHEN, DAOFEN · 1995 to 1996
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NHLBI NIH HHS 1U01HL101066-01NHLBI NIH HHS U01 HL101066NIA NIH HHS 1R21AG042761-01NIA NIH HHS R21 AG042761NICHD NIH HHS 1R01HD064685-01A1NICHD NIH HHS 1R01HD08023NICHD NIH HHS F32 HD008023NICHD NIH HHS R01 HD061978NICHD NIH HHS R01HD061978NICHD NIH HHS R01 HD064685NICHD NIH HHS U54 HD070725NICHD NIH HHS U54HD070725NLM NIH HHS HHSN276201000004C
6 · The paper itself

Abstract

Although systems science has emerged as a set of innovative approaches to study complex phenomena, many topically focused researchers including clinicians and scientists working in public health are somewhat befuddled by this methodology that at times appears to be radically different from analytic methods, such as statistical modeling, to which the researchers are accustomed. There also appears to be conflicts between complex systems approaches and traditional statistical methodologies, both in terms of their underlying strategies and the languages they use. We argue that the conflicts are resolvable, and the sooner the better for the field. In this article, we show how statistical and systems science approaches can be reconciled, and how together they can advance solutions to complex problems. We do this by comparing the methods within a theoretical framework based on the work of population biologist Richard Levins. We present different types of models as representing different tradeoffs among the four desiderata of generality, realism, fit, and precision.

Indexed as

Models, StatisticalChildData Interpretation, StatisticalHumansObesityParent-Child RelationsPeer GroupPublic HealthSocial SupportSystems Theoryagent-based modelchildhood obesitycomplex systemscomputational modelLevins frameworksocial network analysisstatistical modelsystem dynamics model

Identifiers

PMID24084395
PMCPMC5105232

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.