ArticleAmerican journal of epidemiology2026
Smoking hot joint models for attrition bias-XMAR-ks the spot.
Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Abstract
It's been said that smoking is a leading cause of statistics. Striving to understand relationships between smoking, cognition, dementia and death has long served as a prototypical example of selection bias issues when studying longitudinal change in the presence of likely informative censoring events. The article by Stuckwisch et al. (Am J Epidemiol. 2025: https://doi.org/10.1093/aje/kwaf107) compares results between a standard linear mixed model and an increasingly used Joint Model approach to investigate this long-vexing problem. We describe the nature of the "extended missing at random" (XMAR) assumption of the Joint Model, position the XMAR assumption in an expanded four-level missingness taxonomy, and illustrate a sequential sensitivity analysis using example data on smoking and cognitive decline with attrition by dementia and death events to illuminate approaches.
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