HRS Bibliography

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2017

Pare G, Mao S, Deng WQ. A machine-learning heuristic to improve gene score prediction of polygenic traits. Scientific Reports. 2017;7(1):12665. doi:10.1038/s41598-017-13056-1.
http://www.ncbi.nlm.nih.gov/pubmed/28979001?dopt=Abstract
Vable AM, Gilsanz P, Nguyen TT, Kawachi I, M. Glymour M. Validation of a theoretically motivated approach to measuring childhood socioeconomic circumstances in the Health and Retirement Study. PLoS One. 2017;12(10):e0185898. doi:10.1371/journal.pone.0185898.
http://www.ncbi.nlm.nih.gov/pubmed/29028834?dopt=Abstract

2018

Chin A, De Bruin WBruine. Eliciting Stock Market Expectations: The Effects of Question Wording on Survey Experience and Response Validity. Journal of Behavioral Finance. 2018;19(1):101-110. doi:10.1080/15427560.2017.1373353.

2020

Wei MY, Luster JE, Chan C-L, Min LC. Comprehensive review of ICD-9 code accuracies to measure multimorbidity in administrative data. BMC Health Services Research. 2020;20. doi:10.1186/s12913-020-05207-4.

Forthcoming

Mullins MA, Kabeto M, Wallner LP, Kobayashi LC. Validation of Self-Reported Cancer Diagnoses by Respondent Cognitive Status in the U.S. Health and Retirement Study. The Journals of Gerontology. Series A . Forthcoming. doi:10.1093/gerona/glac248.