Skip to content
DraconiticResearch
Search Sources API
201,683 studies31 sourcesUpdated 14 min ago
Peer-reviewedCC BY 4.0Alzheimer's & Dementia

Measurement precision matters: Accounting for uncertainty alters estimated memory trajectories across the cognitive spectrum

7 affiliations
  1. 1Department of Psychiatry and Behavioral Sciences University of Washington Seattle Washington USA
  2. 2VA Puget Sound Health Care System, GRECC Seattle Washington USA
  3. 3Bordeaux Population Health Research Center University of Bordeaux, Inserm Bordeaux France
  4. 4Department of Medicine University of Washington Seattle Washington USA
  5. 5Department of Neurology Boston University Chobanian & Avedisian School of Medicine Boston Massachusetts USA
  6. 6Indiana Alzheimer's Disease Research Center and Center for Neuroimaging Indiana University School of Medicine Indianapolis Indiana USA
  7. 7Department of Medical and Molecular Genetics, Department of Radiology and Imaging Sciences Indiana University School of Medicine Indianapolis Indiana USA

Abstract

INTRODUCTION: Harmonized cognitive composites are widely used to study longitudinal cognitive decline. Although harmonization places scores on a common latent scale, measurement precision varies across visits, age, and diagnosis, but is typically ignored in longitudinal models.

METHODS: We analyzed harmonized memory scores and time‐varying standard errors from the National Alzheimer's Coordinating Center Uniform Data Set. We compared a naïve mixed‐effects model that did not incorporate measurement uncertainty with two precision‐aware models: a frequentist precision‐weighted and a Bayesian measurement‐error model. Comparisons were based on estimated age of memory impairment.

RESULTS: Accounting for measurement precision produced age‐dependent differences in estimated memory trajectories. Naïve models predicted higher memory scores at older ages in cognitively normal and mildly impaired participants but lower scores in Alzheimer's dementia (AD). Precision‐aware models estimated threshold crossing 1.5–3 years earlier than the naïve model.

DISCUSSION: Incorporating visit‐specific measurement precision alters estimated cognitive trajectories and the timing of clinically interpretable memory impairment.

Related

  1. Trajectories of Estimated Glucose Disposal Rate and Risk of Cardiovascular Disease: Evidence from Two Prospective Cohorts
    R. Pan, X. Li, Z. Wei +6
    medRxivPreprintAll rights reservedFull textCardiovascular medicinemedRxiv
  2. Associations of cumulative exposure and dynamic trajectories of the combined estimated glucose disposal rate and frailty index with incident cardiometabolic multimorbidity comprising diabetes, heart disease, and stroke: a longitudinal analysis based on the China health and retirement longitudinal study (CHARLS)
    Yi Lei, Junming Li, Wenqiang Xin
    Cardiovascular DiabetologyPeer-reviewedCC BY-NC-ND 4.0Full textEpidemiology & public healthPMC
  3. Dynamic trajectories of sepsis-induced immunoparalysis: from biological mechanisms to precision monitoring and targeted intervention
    Chengxin Xue, Yiheng Hu, Xinyun Wu +5
    Frontiers in ImmunologyPeer-reviewedCC BY 4.0Full textEpidemiology & public healthCrossrefEurope PMCPMC
  4. Toward precision pediatric pain care: integrating mechanistic science, real-world measurement, and patient partnership
    Laura E. Simons, Nima Aghaeepour, Casey Cashman
    PainPeer-reviewedCC BY-NC-NDFull textObstetrics, gynaecology & paediatricsEurope PMCPMCEurope PMC
  5. Real-time measurement instead of prediction enables high-precision phase-specific stimulation of the human brain
    Robert Guggenberger, Farzin Negahbani, Julian-Samuel Gebühr +2
    NeuroImagePeer-reviewedCC BYFull text5 citedNeurologyOpenAlex
BibTeX
@article{trittschuh2026measurement,
  title = {{Measurement precision matters: Accounting for uncertainty alters estimated memory trajectories across the cognitive spectrum}},
  author = {Emily H. Trittschuh and Phoebe Scollard and Paul K. Crane and Seo‐Eun Choi and Jesse Mez and Andrew J. Saykin and Laura E. Gibbons and Shubhabrata Mukherjee},
  journal = {Alzheimer's \& Dementia},
  year = {2026},
  month = nov,
  doi = {10.1002/alz.71976},
  url = {https://doi.org/10.1002/alz.71976},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Measurement precision matters: Accounting for uncertainty alters estimated memory trajectories across the cognitive spectrum
AU  - Emily H. Trittschuh
AU  - Phoebe Scollard
AU  - Paul K. Crane
AU  - Seo‐Eun Choi
AU  - Jesse Mez
AU  - Andrew J. Saykin
AU  - Laura E. Gibbons
AU  - Shubhabrata Mukherjee
PY  - 2026
DA  - 2026/11/04
JO  - Alzheimer's & Dementia
DO  - 10.1002/alz.71976
UR  - https://doi.org/10.1002/alz.71976
AB  - INTRODUCTION: Harmonized cognitive composites are widely used to study longitudinal cognitive decline. Although harmonization places scores on a common latent scale, measurement precision varies across visits, age, and diagnosis, but is typically ignored in longitudinal models.  METHODS: We analyzed harmonized memory scores and time‐varying standard errors from the National Alzheimer's Coordinating Center Uniform Data Set. We compared a naïve mixed‐effects model that did not incorporate measurement uncertainty with two precision‐aware models: a frequentist precision‐weighted and a Bayesian measurement‐error model. Comparisons were based on estimated age of memory impairment.  RESULTS: Accounting for measurement precision produced age‐dependent differences in estimated memory trajectories. Naïve models predicted higher memory scores at older ages in cognitively normal and mildly impaired participants but lower scores in Alzheimer's dementia (AD). Precision‐aware models estimated threshold crossing 1.5–3 years earlier than the naïve model.  DISCUSSION: Incorporating visit‐specific measurement precision alters estimated cognitive trajectories and the timing of clinically interpretable memory impairment.
SN  - 1552-5260
SN  - 1552-5279
ER  -