Evidence map›Paper›PMID 26839439›Full record

ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2016

Causal inference with longitudinal outcomes and non-ignorable drop-out: Estimating the effect of living alone on cognitive decline.

Maria Josefsson, Xavier de Luna, Michael J Daniels, Lars Nyberg

Abstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  3. Article
  4. Bayesian semi-parametric G-computation for causal inference in a cohort study with MNAR dropout and death.Journal of the Royal Statistical Society. Series C, Applied statistics · 2021
    Article
  5. 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

4 authors.

Maria JosefssonDepartment of Statistics, Umeå School of Business and Economics, Umeå University, Umeå, Sweden.
Xavier de LunaDepartment of Statistics, Umeå School of Business and Economics, Umeå University, Umeå, Sweden.
Michael J DanielsDepartment of Integrative Biology, Department of Statistics & Data Sciences, University of Texas at Austin.
Lars NybergDepartment of Integrative Medical Biology & Radiation Sciences, Umeå University Umeå, Sweden.

Funding

BAYESIAN APPROACHES FOR MISSINGNESS AND CAUSALITY IN CANCER AND BEHAVIOR STUDIESR01CA183854 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI DANIELS, MICHAEL J · 2014 to 2019
$1.7M
COVARIANCE ESTIMATION FOR LONGITUDINAL CANCER DATAR01CA085295 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI DANIELS, MICHAEL J · 2001 to 2012
$1.1M
NCI NIH HHS R01 CA085295NCI NIH HHS R01 CA183854
6 · The paper itself

Abstract

In this paper we develop a model to estimate the causal effect of living arrangement (living alone versus living with someone) on cognitive decline based on a 15-year prospective cohort study, where episodic memory function is measured every five years. One key feature of the model is the combination of propensity score matching to balance confounding variables between the two living arrangement groups -in order to reduce bias due to unbalanced covariates at baseline, with a pattern mixture model for longitudinal data -in order to deal with non-ignorable drop-out. A fully Bayesian approach allows us to convey the uncertainty in the estimation of the propensity score and subsequent matching in the inference of the causal effect of interest. The analysis conducted here adds to previous studies in the literature concerning the protective effect of living with someone, by proposing a modeling approach treating living arrangement as an exposure.

Indexed as

AgeingBayesian inferenceepisodic memorynonignorable missingnesspattern mixture modelpropensity score matchingsensitivity analysis

Identifiers

PMID26839439
PMCPMC4733472

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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.