Evidence map›Paper›PMID 37284595›Full record

ArticleSociological methodology2022

Bayesian Multistate Life Table Methods for Large and Complex State Spaces: Development and Illustration of a New Method.

Scott M Lynch, Emma Zang

Abstract read
In one paragraph

Article in Sociological methodology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. U.S. Trends in Job Stability by Sex, Race, and Ethnicity from 1996 to 2020.The Russell Sage Foundation journal of the social sciences : RSF · 2025
    Article
  4. Article
  5. 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.

Scott M LynchDepartment of Sociology, Duke University Population Research Institute, Duke University, Durham, NC, USA.
Emma ZangDepartment of Sociology and of Biostatistics, Yale University, New Haven, CT, USA.ORCID 0000-0002-5700-3179

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
Understanding US regional health & mortality disparities: A Life Course ApproachR01AG040199 · NIA · PRINCETON UNIVERSITY · PI LYNCH, SCOTT M. · 2011 to 2016
$706k
Linked Lives, Linked Health: Health Trajectories of Persons with Cognitive Impairment and Their Caregivers' HealthR21AG074238 · NIA · YALE UNIVERSITY · PI ZANG, EMMA · 2021 to 2022
$473k
NIA NIH HHS P30 AG021342NIA NIH HHS R01 AG040199NIA NIH HHS R21 AG074238NICHD NIH HHS P2C HD065563
6 · The paper itself

Abstract

Multistate life table methods are an important tool for producing easily understood measures of population health. Most contemporary uses of these methods involve sample data, thus requiring techniques for capturing uncertainty in estimates. In recent decades, several methods have been developed to do so. Among these methods, the Bayesian approach proposed by Lynch and Brown has several unique advantages. However, the approach is limited to estimating years to be spent in only two living states, such as "healthy" and "unhealthy." In this article, the authors extend this method to allow for large state spaces with "quasi-absorbing" states. The authors illustrate the new method and show its advantages using data from the Health and Retirement Study to investigate U.S. regional differences in years of remaining life to be spent with diabetes, chronic conditions, and disabilities. The method works well and yields rich output for reporting and subsequent analyses. The expanded method also should facilitate the use of multi-state life tables to address a wider array of social science research questions.

Indexed as

Bayesian estimationdiscrete-time Markov processesmultistate life table

Identifiers

PMID37284595
PMCPMC10241463

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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.