HRS Bibliography
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Mental Retirement. J Econ Perspect. 2010;24(1):119-138. doi:10.1257/jep.24.1.119.
. http://www.ncbi.nlm.nih.gov/pubmed/20975927?dopt=Abstract
Mental retirement and health selection: Analyses from the U.S. Health and Retirement Study. Social Science & Medicine. 2017;178:78-86. doi:10.1016/j.socscimed.2017.01.019.
. Mental retirement and schooling. European Economic Review. 2013;63(October 2013):292-298. doi:http://dx.doi.org/10.1016/j.euroecorev.2013.01.004.
. Mental work demands, retirement, and longitudinal trajectories of cognitive functioning. J Occup Health Psychol. 2014;19(2):231-42. doi:10.1037/a0035724.
. http://www.ncbi.nlm.nih.gov/pubmed/24635733?dopt=Abstract
Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nat Genet. 2016;48(10):1162-70. doi:10.1038/ng.3660.
Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
http://www.ncbi.nlm.nih.gov/pubmed/30124842?dopt=Abstract
A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
. A method to estimate the contribution of regional genetic associations to complex traits from summary association statistics. Sci Rep. 2016;6:27644. doi:10.1038/srep27644.
. http://www.ncbi.nlm.nih.gov/pubmed/27273519?dopt=Abstract
Methodological Aspects of Subjective Life Expectancy: Effects of Culture-Specific Reporting Heterogeneity Among Older Adults in the United States. The Journals of Gerontology: Series B. 2016;71(3):558-568. doi:10.1093/geronb/gbv048.
. Methodological Innovations in Collecting Spending Data: The HRS Consumption and Activities Mail Survey. Fisc Stud. 2009;30(3-4):435-459. doi:10.1111/j.1475-5890.2009.00103.x.
. . http://www.ncbi.nlm.nih.gov/pubmed/21052480?dopt=Abstract
Methods and Early Recruitment of a Community-Based Study of Cognitive Impairment Among Mexican Americans and Non-Hispanic Whites: The BASIC-Cognitive Study. Journal of Alzheimer's Disease. 2020;73(1):185-196. doi:10.3233/JAD-190761.
Methods and (Lack of) Theory in Digital Inclusion, Digital Divide, and Digital Equity Research on Older Adults. Wellington, New Zealand: Victoria University of Wellington; 2023:1869.
. Methods for Analysis of the Financing and Use of Long-Term Services and Supports. Washington, DC; 2013.
. Methods for Improving Efficiency of Planned Missing Data Designs. Biostatistics. 2018;PhD:110.
. MHC-Dependent Mate Selection within 872 Spousal Pairs of European Ancestry from the Health and Retirement Study. Genes. 2018;9(2):53. doi:10.3390/genes9010053.
. Micro Determinants of Labor Force Status Among Older Americans. SUNY-Stony Brook; 2000.
. Microdata Panel Data and Public Policy: National and Cross-National Perspectives. Syracuse, NY: Syracuse University; 2000.
. The Microeconomic Effect of Longevity on Savings: Evidence from the Health and Retirement Study. 2005.
. . A Micro-Level Analysis of Recent Increases in Labor Force Participation Among Older Workers. Boston: Center for Retirement Research at Boston College; 2008.
. Microsimulation of Health Expectancies, Life Course Health, and Health Policy Outcomes. In: International Handbooks of Population: International Handbook of Health Expectancies. Vol. 9. International Handbooks of Population: International Handbook of Health Expectancies. Basel: Springer International Publishing; 2020:129–138. doi:10.1007/978-3-030-37668-0_9.
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