Evidence map›Paper›PMID 39544096›Full record

ArticleStatistical methods in medical research2025

LASSO-type instrumental variable selection methods with an application to Mendelian randomization.

Muhammad Qasim, Kristofer Månsson, Narayanaswamy Balakrishnan

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In one paragraph

Article in Statistical methods in medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Muhammad QasimJönköping International Business School, Jönköping University, Jönköping, Sweden.
Kristofer MånssonJönköping International Business School, Jönköping University, Jönköping, Sweden.ORCID 0000-0002-4535-3630
Narayanaswamy BalakrishnanDepartment of Mathematics and Statistics, McMaster University, Hamilton, ON, Canada.

Funding

Wisconsin longitudinal study: Initial lifetime's impact on Alzheimer's disease and related disorders (WLS-ILIAD)R01AG060737 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sanjay Asthana, Michal Engelman · 2018 to 2026
$56.8M
WISCONSIN LONGITUDINAL STUDY--SIBLING INTERVIEWS (1)R01AG009775 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI HERD, PAMELA · 1991 to 2012
$23.4M
Aging Together: Brothers and Sisters of the Wisconsin Longitudinal StudyR01AG033285 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI HERD, PAMELA, WARREN, JOHN ROBERT · 2009 to 2013
$11.8M
A Longitudinal Resource for Genetic Research in Behavioral & Health SciencesR01AG041868 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI FREESE, JEREMY J, HAUSER, ROBERT M. · 2013 to 2017
$3.0M
NIA NIH HHS R01 AG009775NIA NIH HHS R01 AG033285NIA NIH HHS R01 AG041868NIA NIH HHS R01 AG060737
6 · The paper itself

Abstract

Valid instrumental variables (IVs) must not directly impact the outcome variable and must also be uncorrelated with nonmeasured variables. However, in practice, IVs are likely to be invalid. The existing methods can lead to large bias relative to standard errors in situations with many weak and invalid instruments. In this paper, we derive a LASSO procedure for the

Indexed as

Mendelian Randomization AnalysisAlgorithmsBody Mass IndexCausalityComputer SimulationHumansLinear ModelsModels, StatisticalMonte Carlo MethodPolymorphism, Single NucleotideQuality of LifeC13C26C36Causal inferenceheteroscedasticityinstrumental variablejackknifeLASSOmodel selection

Identifiers

PMID39544096
PMCPMC11874601

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Registered trials

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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.