HRS Bibliography

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Journal Article

Dushi I, Iams HM. Cohort differences in wealth and pension participation of near-retirees. Soc Secur Bull. 2008;68(3):45-66.
http://www.ncbi.nlm.nih.gov/pubmed/19260617?dopt=Abstract
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
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?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
Nho K, Ramanan VK, Horgusluoglu E, et al. Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. J Alzheimers Dis. 2015;45(4):1197-206. doi:10.3233/JAD-148009.
http://www.ncbi.nlm.nih.gov/pubmed/25690665?dopt=Abstract
Dey R, M. Islam A. A conditional count model for repeated count data and its application to GEE approach. Statistical Papers. 2017;58(2):485-504. doi:10.1007/s00362-015-0708-9.
Lee YSoo, Putnam M, Morrow-Howell N, Inoue M, Greenfield JC, Chen H. Consolidated measures of activity among older adults: results of a three data set comparison. Journal of Gerontological Social Work. 2019. doi:10.1080/01634372.2019.1582123.
http://www.ncbi.nlm.nih.gov/pubmed/30786817?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):3582-3594. doi:10.1093/hmg/ddv097.
Govindan S, Shapiro L, Langa KM, Iwashyna TJ. Death certificates underestimate infections as proximal causes of death in the U.S. PLoS One. 2014;9(5):e97714. doi:10.1371/journal.pone.0097714.
http://www.ncbi.nlm.nih.gov/pubmed/24878897?dopt=Abstract
Sirdari MZangeneh, M. Islam A, Awang N. Dependence in binary outcomes: A quadratic exponential model approach. Bulletin of the Malaysian Mathematical Sciences Society. 2014;37(1):129-137.
Davydow DS, Hough CL, Langa KM, Iwashyna TJ. Depressive symptoms in spouses of older patients with severe sepsis. Crit Care Med. 2012;40(8):2335-41. doi:10.1097/CCM.0b013e3182536a81.
http://www.ncbi.nlm.nih.gov/pubmed/22635049?dopt=Abstract
Fong TG, Jones RN, Rudolph JL, et al. Development and validation of a brief cognitive assessment tool: the sweet 16. Arch Intern Med. 2011;171(5):432-7. doi:10.1001/archinternmed.2010.423.
http://www.ncbi.nlm.nih.gov/pubmed/21059967?dopt=Abstract
Joshi PK, Esko T, Mattsson H, et al. Directional dominance on stature and cognition in diverse human populations. Nature. 2015;523(7561):459-62. doi:10.1038/nature14618.
http://www.ncbi.nlm.nih.gov/pubmed/26131930?dopt=Abstract
Joshi PK, Esko T, Mattsson H, et al. Directional dominance on stature and cognition in diverse human populations. Nature. 2015;523(7561):459-62. doi:10.1038/nature14618.
http://www.ncbi.nlm.nih.gov/pubmed/26131930?dopt=Abstract
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Infurna FJ, Gerstorf D, Ryan LH, Smith J. Dynamic links between memory and functional limitations in old age: longitudinal evidence for age-based structural dynamics from the AHEAD study. Psychol Aging. 2011;26(3):546-58. doi:10.1037/a0023023.
http://www.ncbi.nlm.nih.gov/pubmed/21480716?dopt=Abstract
Infurna FJ, Mayer A. The effects of constraints and mastery on mental and physical health: Conceptual and methodological considerations. Psychol Aging. 2015;30(2):432-448. doi:10.1037/a0039050.
http://www.ncbi.nlm.nih.gov/pubmed/25938243?dopt=Abstract
Idler E. Equal Protection? Differential Effects of Religious Attendance on Black-White Older Adult Mortality. Innovation in Aging. 2020;4(Suppl 1):395. doi:10.1093/geroni/igaa057.1271.
M. Islam A, Sultan KS, Chowdhury RI. Estimation and Tests for a Longitudinal Regression Model Based on the Markov Chain. Statistical Methodology. 2009;6(5):478-489. doi:https://doi.org/10.1016/j.stamet.2009.04.003.
Staben O, Infurna FJ, Lachman ME, Gerstorf D. Examining Racial Disparities in Historical Change of Mental and Physical Health Across Midlife and Old Age in the US. The Journals of Gerontology, Series B. 2022;77(11):1978-1989. doi:10.1093/geronb/gbab232.
Brazel DM, Jiang Y, Hughey JM, et al. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use. Biological Psychiatry. 2019;85(11):946-955. doi:10.1016/j.biopsych.2018.11.024.