GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. Aging Cell. 2016;15(5):792-800. doi:10.1111/acel.12468.
Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-94. doi:10.1093/hmg/ddv097.
Use of Complementary Medicine in Older Americans: Results From the Health and Retirement Study. The Gerontologist. 2005;45(4):516-524..
Regional variation in the association between advance directives and end-of-life Medicare expenditures. JAMA. 2011;306(13):1447-53. doi:10.1001/jama.2011.1410..
Advance directives and nursing home stays associated with less aggressive end-of-life care for patients with severe dementia. Health Affairs. 2014;33(4):667-74. doi:10.1377/hlthaff.2013.1258..
Updates to HRS Sample Weights. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2011..
Genome-wide association study identifies 74 loci associated with educational attainment. Nature. 2016;533(7604):539-42. doi:10.1038/nature17671.
Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nature Genetics. 2016;48(6):624-33. doi:10.1038/ng.3552.
Lifespan adversity and later adulthood telomere length in the nationally representative US Health and Retirement Study. Proceedings of the National Academy of Sciences. 2016;113(42):E6335-E6342. doi:10.1073/pnas.1525602113.
GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
Validating Diabetes Disease Status in Claims and Survey Data. Proceedings of the 2010 International Methodology Symposium: The Interplay among Censuses, Surveys and Administrative Data. Ottawa; 2010..
Linking Survey and Administrative Records: Mechanisms of Consent. Sociological Methods & Research. 2012;41(4):535-569. doi:10.1177/0049124112460381..
Identifying diabetics in Medicare claims and survey data: Implications for health services research. BMC Health Services Research. 2014;14(1):1-11..
The Economic Consequences of a Husband's Death: Evidence from the HRS and AHEAD. Social Security Bulletin. 2004;65(3):31-44..
HRS Psychosocial and Lifestyle Questionnaire 2006-2016. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2017..
Please note that this replaces an earlier version of this report.
Psychosocial and Lifestyle Questionnaire 2006 - 2010: Documentation Report. Ann Arbor: Survey Research Center, Institute for Social Research, University of Michigan; 2013:62..
This has been replaced by a newer version of this report: https://hrs.isr.umich.edu/publications/biblio/9066
Cohort Profile: the Health and Retirement Study (HRS). International Journal of Epidemiology. 2014;43(2):576-585. doi:10.1093/ije/dyu067..
The Health and Retirement Study: A Public Data Resource for Research on Aging. Open Health Data. 2014;2(1). doi:10.5334/ohd.am..
Heterogeneity in polygenic scores for common human traits. bioRxiv. Forthcoming. doi:10.1101/106062.
Prospects for Widow Poverty. In: Forecasting retirement needs and retirement wealth. Forecasting retirement needs and retirement wealth. Philadelphia: University of Pennsylvania Press; 2000:208 -34..
New Measures and New Designs in Demography of Aging Research. In: Future Directions for the Demography of Aging: Proceedings of a Workshop . Future Directions for the Demography of Aging: Proceedings of a Workshop . Washington, DC: The National Academies Press; 2018:371-396. doi:https://doi.org/10.17226/25064..
Biomarkers in Representative Population Surveys. In: The Palgrave Handbook of Survey Research. The Palgrave Handbook of Survey Research. Palgrave Macmillan, Cham; 2018:227-233. doi:https://doi.org/10.1007/978-3-319-54395-6..
Widowhood, Divorce and Loss of Health Insurance Among Near-Elderly Women: Evidence from the Health and Retirement Study. Ann Arbor, MI, University of Michigan; 2002..
Do Panel Surveys Really Make People Sick? A Commentary on Wilson and Howell. Social Science and Medicine. 2007;65(6):1071-1077..