Evaluating sex and gender as separate and interactive predictors of memory aging trajectory classes: an integrative data-driven approach.

Bohn L, Vandenberg P, Fah H, Rajah MN, Einstein G, Dixon RA

Open source

DOI: 10.1186/s13293-026-00864-2
Published: 2026 Mar 9
Container: Biology of sex differences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s13293-026-00864-2,
  title = {Evaluating sex and gender as separate and interactive predictors of memory aging trajectory classes: an integrative data-driven approach.},
  author = {Bohn L and Vandenberg P and Fah H and Rajah MN and Einstein G and Dixon RA},
  year = {2026},
  journal = {Biology of sex differences},
  doi = {10.1186/s13293-026-00864-2},
  url = {https://doi.org/10.1186/s13293-026-00864-2}
}

RIS

TY  - JOUR
TI  - Evaluating sex and gender as separate and interactive predictors of memory aging trajectory classes: an integrative data-driven approach.
AU  - Bohn L
AU  - Vandenberg P
AU  - Fah H
AU  - Rajah MN
AU  - Einstein G
AU  - Dixon RA
PY  - 2026
JO  - Biology of sex differences
DO  - 10.1186/s13293-026-00864-2
UR  - https://doi.org/10.1186/s13293-026-00864-2
ER  -

APA

L, B., P, V., H, F., MN, R., G, E., & RA, D. (2026). Evaluating sex and gender as separate and interactive predictors of memory aging trajectory classes: an integrative data-driven approach.. Biology of sex differences. https://doi.org/10.1186/s13293-026-00864-2

Source records

pubmed · retrieved 2026-09-25T08:20:06.554Z
europe-pmc · retrieved 2026-09-25T08:20:06.567Z
doaj · retrieved 2026-09-25T08:20:06.573Z