Evidence map›Paper›PMID 18819008›Full record

ReviewNeuropsychology review2008

Methodological challenges in causal research on racial and ethnic patterns of cognitive trajectories: measurement, selection, and bias.

M Maria Glymour, Jennifer Weuve, Jarvis T Chen

Abstract readReview
In one paragraph

Review in Neuropsychology review, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

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

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  11. Adult Child Financial Disadvantage and the Cognitive Trajectories Among Older Parents in the United States.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
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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

3 authors.

M Maria GlymourDepartment of Society, Human Development, and Health, Harvard School of Public Health, Boston, MA 02115, USA. mglymour@hsph.harvard.edu
Jennifer Weuve
Jarvis T Chen

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
LEAD-GENE INTERACTIONS AND CONGNITIONR01ES005257 · NIEHS · BRIGHAM AND WOMEN'S HOSPITAL · PI WEISSKOPF, MARC G · 1991 to 2007
$4.2M
NIEHS NIH HHS ES005257NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES005257
6 · The paper itself

Abstract

Research focused on understanding how and why cognitive trajectories differ across racial and ethnic groups can be compromised by several possible methodological challenges. These difficulties are especially relevant in research on racial and ethnic disparities and neuropsychological outcomes because of the particular influence of selection and measurement in these contexts. In this article, we review the counterfactual framework for thinking about causal effects versus statistical associations. We emphasize that causal inferences are key to predicting the likely consequences of possible interventions, for example in clinical settings. We summarize a number of common biases that can obscure causal relationships, including confounding, measurement ceilings/floors, baseline adjustment bias, practice or retest effects, differential measurement error, conditioning on common effects in direct and indirect effects decompositions, and differential survival. For each, we describe how to recognize when such biases may be relevant and some possible analytic or design approaches to remediating these biases.

Indexed as

CausalityCross-Cultural ComparisonAdolescentAdultAgedAgingChildChild, PreschoolCognitionEthnicityFemaleHumansInfantMaleMiddle AgedNeuropsychological Tests

Identifiers

PMID18819008
PMCPMC3640811

What OpenQuestion holds

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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.