HRS Bibliography

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Journal Article

Hülür G, Infurna FJ, Ram N, Gerstorf D. Cohorts based on decade of death: no evidence for secular trends favoring later cohorts in cognitive aging and terminal decline in the AHEAD study. Psychol Aging. 2013;28(1):115-27. doi:10.1037/a0029965.
http://www.ncbi.nlm.nih.gov/pubmed/23046001?dopt=Abstract
Koroukian SM, Schiltz N, Warner DF, et al. Combinations of Chronic Conditions, Functional Limitations, and Geriatric Syndromes that Predict Health Outcomes. J Gen Intern Med. 2016;31(6):630-7. doi:10.1007/s11606-016-3590-9.
http://www.ncbi.nlm.nih.gov/pubmed/26902246?dopt=Abstract
Wu Q, Tchetgen EJTchetgen, Osypuk TL, White K, Mujahid M, M Glymour M. Combining direct and proxy assessments to reduce attrition bias in a longitudinal study. Alzheimer Dis Assoc Disord. 2013;27(3):207-12. doi:10.1097/WAD.0b013e31826cfe90.
http://www.ncbi.nlm.nih.gov/pubmed/22992720?dopt=Abstract
Nguyen TT, Tchetgen Tchetgen EJ, Kawachi I, Gilman SE, Walter S, Glymour MM. Comparing alternative effect decomposition methods: the role of literacy in mediating educational effects on mortality. Epidemiology. 2016;27(5):670-676. doi:10.1097/EDE.0000000000000517.
Nguyen TT, Tchetgen Tchetgen EJ, Kawachi I, Gilman SE, Walter S, Glymour MM. Comparing alternative effect decomposition methods: the role of literacy in mediating educational effects on mortality. Epidemiology. 2016;27(5):670-676. doi:10.1097/EDE.0000000000000517.
Gianattasio KZ, Wu Q, Glymour MM, 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
Gianattasio KZ, Wu Q, Glymour MM, 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
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Warner, Jr. DF, Schiltz NK, Stange KC, et al. Complex multimorbidity and health outcomes in older adult cancer survivors . Family Medicine and Community Health. 2017;5(2):129-138. doi:10.15212/FMCH.2017.0127.
Nho K, Ramanan VK, Horgusluoglu E, et al. Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. Journal of Alzheimer's Disease. 2015;45(4):1197-206. doi:10.3233/JAD-148009.
Bardenheier BH, Lin J, Zhuo X, et al. Compression of disability between two birth cohorts of US adults with diabetes, 1992-2012: a prospective longitudinal analysis. The lancet. Diabetes & endocrinology. 2016;4(8):686-694. doi:10.1016/S2213-8587(16)30090-0.
Gordo LRomeu. Compression of morbidity and the labour supply of older people. Applied Economics. 2011;43(4):503.
Lee YSoo, Putnam M, Morrow-Howell N, Inoue M, Jennifer C. Greenfield, Chen H. Consolidated measures of activity among older adults: results of a three data set comparison. Journal of Gerontological Social Work. Forthcoming. doi:10.1080/01634372.2019.1582123.
http://www.ncbi.nlm.nih.gov/pubmed/30786817?dopt=Abstract
McGarry BE, Tempkin-Greener H, Grabowski DC, Chapman BP, Li Y. Consumer decision-making abilities and long-term care insurance purchase. Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2017. doi:10.1093/geronb/gbx059.
http://www.ncbi.nlm.nih.gov/pubmed/28541583?dopt=Abstract
Wolinsky FD, Bentler SE, Liu L, et al. Continuity of care with a primary care physician and mortality in older adults. J Gerontol A Biol Sci Med Sci. 2010;65(4):421-8. doi:10.1093/gerona/glp188.
http://www.ncbi.nlm.nih.gov/pubmed/19995831?dopt=Abstract
Nead KT, Li A, Wehner MR, et al. 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.
Nead KT, Li A, Wehner MR, et al. 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.
Nead KT, Li A, Wehner MR, et al. 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.
Nead KT, Li A, Wehner MR, et al. 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.
Nead KT, Li A, Wehner MR, et al. 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.
Marden JR, Tchetgen Tchetgen EJ, Kawachi I, Glymour MM. Contribution of socioeconomic status at three lifecourse periods to late life memory function and decline: Early and late predictors of dementia risk. American Journal of Epidemiology. 2017;186(7):805-814. doi:10.1093/aje/kwx155.
http://www.ncbi.nlm.nih.gov/pubmed/28541410?dopt=Abstract
Rodriquez EJ, Gregorich SE, Livaudais-Toman J, Perez-Stable E. Coping with chronic stress by unhealthy behaviors: A re-evaluation among older adults by race/ethnicity. Journal of Aging and Health. 2017;Aug 2017:805-825. doi:10.1177/0898264316645548.
Georgarakos D, Gueorguieva R. Correlated probit analysis of repeatedly measured ordinal and continuous outcomes with application to the Health and Retirement Study. Statistics in Medicine. 2016;35(23):4202-4205. doi:10.1002/sim.6982.
Georgarakos D, Gueorguieva R. Correlated probit analysis of repeatedly measured ordinal and continuous outcomes with application to the Health and Retirement Study. Statistics in Medicine. 2016;35(23):4202-4205. doi:10.1002/sim.6982.