Evidence map›Paper›PMID 20180151›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2010

Investigating the impact of selection bias in dose-response analyses of preventive interventions.

Herle M McGowan, Robert L Nix, Susan A Murphy, Karen L Bierman, Conduct Problems Prevention Research Group

Open access · greenAbstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Evaluating the impact of implementation factors on family-based prevention programming: methods for strengthening causal inference.Prevention science : the official journal of the Society for Prevention Research · 2014
    Trial
  2. Promoting toddlers' positive social-emotional outcomes in low-income families: a play-based experimental study.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53 · 2013
    Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Selection effects and prevention program outcomes.Prevention science : the official journal of the Society for Prevention Research · 2013
    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 at 3 institutions in 1 country.

Herle M McGowanNCSU Department of Statistics, North Carolina State University, 2311 Stinson Drive, Raleigh, NC 27695-8203, USA. herle_mcgowan@ncsu.edu
Robert L Nix
Susan A Murphy
Karen L Bierman
Conduct Problems Prevention Research Group
Pennsylvania State University · USNorth Carolina State University · USUniversity of Michigan–Ann Arbor · US

Funding

THE REFINEMENT &APPLICATION OF MEDICAL DECISION MAKING IN PREVENTION SCIENCESP50DA010075 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI LANZA, STEPHANIE T · 1996 to 2014
$24.5M
Optimizing Prevention of Costly Adult OutcomesR01DA016903 · NIDA · DUKE UNIVERSITY · PI CROWLEY, DANIEL MAX, DODGE, KENNETH A · 2003 to 2019
$10.2M
MULTISITE PREVENTION OF CONDUCT DISORDERR18MH050953 · NIMH · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI BIERMAN, KAREN L · 1993 to 2002
$3.5M
Learning Adaptive Treatment Strategies in Mental HealthR01MH080015 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURPHY, SUSAN A · 2007 to 2011
$2.2M
Multisite Prevention of Adolescent Conduct ProblemsR01MH050953 · NIMH · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI BIERMAN, KAREN L · 2003 to 2007
$2.2M
Reducing Drug Abuse with Individually Tailored TreatmentK02DA015674 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURPHY, SUSAN A · 2002 to 2006
$664k
NIDA NIH HHS K02 DA015674NIDA NIH HHS P50 DA010075NIDA NIH HHS R01 DA016903NIMH NIH HHS R01 MH050953NIMH NIH HHS R01 MH080015NIMH NIH HHS R18 MH050953
6 · The paper itself

Abstract

This paper focuses on the impact of selection bias in the context of extended, community-based prevention trials that attempt to "unpack" intervention effects and analyze mechanisms of change. Relying on dose-response analyses as the most general form of such efforts, this study provides two examples of how selection bias can affect the estimation of treatment effects. In Example 1, we describe an actual intervention in which selection bias was believed to influence the dose-response relation of an adaptive component in a preventive intervention for young children with severe behavior problems. In Example 2, we conduct a series of Monte Carlo simulations to illustrate just how severely selection bias can affect estimates in a dose-response analysis when the factors that affect dose are not recorded. We also assess the extent to which selection bias is ameliorated by the use of pretreatment covariates. We examine the implications of these examples and review trial design, data collection, and data analysis factors that can reduce selection bias in efforts to understand how preventive interventions have the effects they do.

Indexed as

Selection BiasMonte Carlo MethodPreventive Health Services

Identifiers

PMID20180151
PMCPMC3044506
OpenAlexW2077849591

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.