HRS Bibliography

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Journal Article

Kelley MS, Bernard MA, Hodes RJ. Aging research: Collaborations forge a promising future. Journal of the American Geriatric Society. 2017;65(11):2441-2445. doi:10.1111/jgs.15052.
http://www.ncbi.nlm.nih.gov/pubmed/28857125?dopt=Abstract
Yan T, Ryan LH, Becker SE, Smith J. Assessing Quality of Answers to a Global Subjective Well-being Question Through Response Times. Survey Research Methods. 2015;9(2):101-109.
Levy HG. Assessing the Need for a New Household Panel Study: Health Insurance and Health Care. Journal of Economic and Social Measurement. 2015;40(1-4):341-356. doi:10.3233/JEM-150408.
Gianattasio KZ, Wu B, M. Glymour M, Power MC. Comparison of methods for algorithmic classification of dementia status in the Health and Retirement Study. Epidemiology. 2019;30(2):291-302. doi:10.1097/EDE.0000000000000945.
http://www.ncbi.nlm.nih.gov/pubmed/30461528?dopt=Abstract
Wolinsky FD, Jones MP, Ullrich FA, Lou Y, Wehby GL. The Concordance of Survey Reports and Medicare Claims in a Nationally Representative Longitudinal Cohort of Older Adults. Medical Care. 2014;52(5):462-468. doi:10.1097/MLR.0000000000000120.
Ayanian JZ, Covinsky KE, Landon BE, McCarthy EP, Wee CC, Steinman MA. Conducting High-Value Secondary Dataset Analysis: An Introductory Guide and Resources. Journal of General Internal Medicine. 2011;26(8):920-929. doi:10.1007/s11606-010-1621-5.
Li X, Freed MC, McCutchan PK. Correction of Retransformation Bias in Nonlinear Predictions on Longitudinal Data with Generalized Linear Mixed Models. Journal of Biometrics & Biostatistics. 2015;06(01). doi:10.4172/2155-618010.4172/2155-6180.1000235.
Das A. "Crossover" in depressive symptoms among older couples: Are previous findings artifactual?. Journal of Aging and Health. 2020. doi:10.1177/0898264318800919.
http://www.ncbi.nlm.nih.gov/pubmed/30246591?dopt=Abstract
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.
Cernat A, Couper MP, Ofstedal MBeth. Estimation of Mode Effects in the Health and Retirement Study Using Measurement Models. Journal of Survey Statistics and Methodology. 2016;4(4):501 - 524. doi:10.1093/jssam/smw021.
Zhao W, Yasutake K, August C, et al. Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies. Int J Environ Res Public Health. 2017;14(12). doi:10.3390/ijerph14121596.
http://www.ncbi.nlm.nih.gov/pubmed/29258278?dopt=Abstract
Savage JE, Jansen PR, Stringer S, et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature Genetics. 2018;50(7):912 - 919. doi:10.1038/s41588-018-0152-6.
Smith JP, Banks J. International Comparisons in Health Economics: Evidence from Aging Studies. Annual Review of Economics. 2012;4:57-81. doi:10.1146/annurev-economics-080511-110944.
Schoeni RF, Ofstedal MBeth. Key themes in research on the demography of aging. Demography. 2010;47 Suppl(Suppl 1):S5-15. doi:10.1353/dem.2010.0001.
Sakshaug JW, Couper MP, Ofstedal MBeth, Weir DR. Linking Survey and Administrative Records: Mechanisms of Consent. Sociological Methods & Research. 2012;41(4):535-569. doi:10.1177/0049124112460381.
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
Fisher GG, Ryan LH. Overview of the Health and Retirement Study and Introduction to the Special Issue. Wang M, ed. Work, Aging and Retirement. 2017;4(1):1-9. doi:10.1093/workar/wax032.
Stephan Y, Sutin AR, Bayard S, Križan Z, Terracciano A. Personality and Sleep Quality: Evidence From Four Prospective Studies. Health Psychology. 2018;37(3):271-281. doi:10.1037/hea0000577.
Li X, Engel CC, Kang H, Gore KL. Reducing selection bias in analyzing longitudinal health data with high mortality rates. Journal of Modern Applied Statistical Methods. 2010;9(2):Article 2.
Burkhauser RV, Gustman AL, Laitner J, Mitchell OS, Sonnega A. Social Security Research at the Michigan Retirement Research Center. Social Security Bulletin. 2009;69(4):51-64.
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

Report

Lange F, McKee D. Accurately Measuring Health Over the Life Course. Boston, MA: Center for Retirement Research at Boston College; 2010.