Evidence map›Paper›PMID 28334061›Full record

ArticleBiostatistics (Oxford, England)2017

Instrumental variable estimation of causal odds ratios using structural nested mean models.

Roland A Matsouaka, Eric J Tchetgen Tchetgen

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biostatistics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

2 authors at 2 institutions in 1 country.

Roland A MatsouakaDepartment of Biostatistics and Bioinformatics & Duke Clinical Research Institute Duke University, Durham, NC 27705, USA.
Eric J Tchetgen TchetgenDepartments of Biostatistics & Epidemiology, Harvard University, Boston, MA 02115, USA.
Duke University · USHarvard University · US

Funding

Estimating Effects of Interventions in Longitudinal DataR01HL080644 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HERNAN, MIGUEL · 2005 to 2013
$4.0M
Identification and Inference for Longitudinal Causal Mediation Analysis in HIVR01AI104459 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI SHPITSER, ILYA, VANDERWEELE, TYLER · 2013 to 2017
$2.0M
Semiparametric Methods for Gene-environment InteractionR01ES020337 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI TCHETGEN TCHETGEN, ERIC JOEL · 2012 to 2015
$1.4M
Effects of a housing policy experiment on youth behavioral problemsR01MD006064 · NIMHD · UNIVERSITY OF MINNESOTA · PI OSYPUK, THERESA LOUISE · 2010 to 2012
$1.1M
NHLBI NIH HHS R01 HL080644NIAID NIH HHS R01 AI104459NIEHS NIH HHS R01 ES020337NIMHD NIH HHS R01 MD006064
6 · The paper itself

Abstract

We consider estimating causal odds ratios using an instrumental variable under a logistic structural nested mean model (LSNMM). Current methods for LSNMMs either rely heavily on possible "uncongenial" modeling assumptions or involve intricate numerical challenges, which have impeded their use. In this article, we present an alternative method that ensures a congenial parametrization, circumvents computational complexity of existing methods, and is easy to implement. We illustrate the proposed method to (1) estimate the causal effect of years of education on earnings using data from the NLSYM and (2) assess the impact of moving families from high to low-poverty neighborhoods had on lifetime major depressive disorder among adolescents in the "Moving to Opportunity (MTO) for Fair Housing Demonstration Project" from the Department of Housing and Urban Development.

Indexed as

Odds RatioAdolescentCausalityHumansLogistic ModelsMajor Depressive DisorderPovertyRiskCausalityConfoundingInstrumental variableNon-complianceOdds ratioStructural model

Identifiers

PMID28334061
PMCPMC5862265
OpenAlexW2784327069

What OpenQuestion holds

Textmetadata
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.