Evidence map›Paper›PMID 34806208›Full record

ArticleStatistics in medicine2022

A semiparametric risk score for physical activity.

Erjia Cui, E Christi Thompson, Raymond J Carroll, David Ruppert

Abstract read
In one paragraph

Article in Statistics in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Nonlinear dynamics of surfing participation, flow, and enjoyment.Frontiers in sports and active living · 2026
    Article
  2. Article
  3. 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

4 authors.

Erjia CuiDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0003-3576-2892
E Christi ThompsonDepartment of Statistics, Texas A&M University, College Station, Texas, USA.ORCID 0000-0001-9899-1591
Raymond J CarrollDepartment of Statistics, Texas A&M University, College Station, Texas, USA.ORCID 0000-0002-5465-9682
David RuppertDepartment of Statistics and Data Science, Cornell University, Ithaca, New York, USA.ORCID 0000-0002-6713-2257

Funding

Statistical Methods for Multilevel Multivariate Functional StudiesR01NS060910 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ciprian M Crainiceanu · 2009 to 2026
$8.3M
Novel application of Digital signals of movement, sleep and heart rhythms for detection of Alzheimer's Disease and Related DementiasR01AG075883 · NIA · JOHNS HOPKINS UNIVERSITY · PI Lin Yee Chen, Ciprian M Crainiceanu · 2022 to 2026
$3.8M
Measurement Error, Nutrition, Physical Activity and CancerU01CA057030 · NCI · TEXAS A&M UNIVERSITY · PI CARROLL, RAYMOND J. · 2015 to 2019
$2.8M
NCI NIH HHS U01 CA057030NIA NIH HHS R01 AG075883NINDS NIH HHS R01 NS060910
6 · The paper itself

Abstract

We develop a generalized partially additive model to build a single semiparametric risk scoring system for physical activity across multiple populations. A score comprised of distinct and objective physical activity measures is a new concept that offers challenges due to the nonlinear relationship between physical behaviors and various health outcomes. We overcome these challenges by modeling each score component as a smooth term, an extension of generalized partially linear single-index models. We use penalized splines and propose two inferential methods, one using profile likelihood and a nonparametric bootstrap, the other using a full Bayesian model, to solve additional computational problems. Both methods exhibit similar and accurate performance in simulations. These models are applied to the National Health and Nutrition Examination Survey and quantify nonlinear and interpretable shapes of score components for all-cause mortality.

Indexed as

ExerciseModels, StatisticalBayes TheoremHumansLinear ModelsNutrition SurveysRisk FactorsaccelerometryBayesian inferencegeneralized additive modelNHANESpenalized splines

Identifiers

PMID34806208
PMCPMC8917048

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.