HRS Bibliography

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Journal Article

Stites SD, Gurian A, Coykendall C, et al. Gender of study partners and research participants associated with differences in study partner ratings of cognition and activity level. J Gerontol B Psychol Sci Soc Sci. 2023. doi:10.1093/geronb/gbad026.
Wong ES. Gender preference and transfers from parents to children: an inter-regional comparison. International Review of Applied Economics. 2013;27(1):61.
Glauber R, Day MD. Gender, Spousal Caregiving, and Depression: Does Paid Work Matter?. Journal of Marriage and Family. 2018;80(2):537-554. doi:10.1111/jomf.2018.80.issue-210.1111/jomf.12446.
Zhang Z, Hayward MD. Gender, the Marital Life Course, and Cardiovascular Disease in Late Midlife. Journal of Marriage and Family. 2006;68(3):639.
Kong D, Lu P, Solomon P, Shelley M. Gender-based depression trajectories following heart disease onset: significant predictors and health outcomes. Aging & Mental Health. 2022;26(4):754-761. doi:10.1080/13607863.2021.1891202.
Sheehan CM, Tucker-Drob EM. Gendered Expectations Distort Male-Female Differences in Instrumental Activities of Daily Living in Later Adulthood. JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES. 2019;74:715-723. doi:10.1093/geronb/gbw209.
Chi DL, Tucker-Seeley RD. Gender-stratified models to examine the relationship between financial hardship and self-reported oral health for older US men and women. American journal of public health. 2013;103(8):1507-15. doi:10.2105/ajph.2012.301145.
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
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
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
M. Islam A, Alzaid AA, Chowdhury RI, Sultan KS. A generalized bivariate Bernoulli model with covariate dependence. Journal of Applied Statistics. 2013;40:1064-1075. doi:10.1080/02664763.2013.780156.
Maronge JM, Tao R, Schildcrout JS, Rathouz PJ. Generalized case-control sampling under generalized linear models. Biometrics. Forthcoming. doi:10.1111/biom.13571.
Ejima K, Pavela G, Li P, Allison DB. Generalized lambda distribution for flexibly testing differences beyond the mean in the distribution of a dependent variable such as body mass index. International Journal of Obesity. 2018;42(4):930-933. doi:10.1038/ijo.2017.262.
Lazar DM, Begum M. GENERALIZED LINEAR MODELING OF A PANEL MOBILITY INDEX WITH CORRELATED MULTIVARIATE CATEGORICAL RESPONSES. Journal of Statistical Research. 2020;54(2):207-221. doi:10.47302/jsr.2020540207.
M. Islam A, Chowdhury RI. A generalized right truncated bivariate Poisson regression model with applications to health data. PLoS One. 2017;12(6):e0178153. doi:10.1371/journal.pone.0178153.
http://www.ncbi.nlm.nih.gov/pubmed/28586344?dopt=Abstract
Shapiro A, R Remle C. Generational jeopardy? Parents' marital transitions and the provision of financial transfers to adult children. J Gerontol B Psychol Sci Soc Sci. 2011;66(1):99-108. doi:10.1093/geronb/gbq010.
http://www.ncbi.nlm.nih.gov/pubmed/20197303?dopt=Abstract
Das A. Genes, childhood trauma, and late life depressive symptoms. Journal of Aging and Health. 2019. doi:10.1177/0898264319861001.
http://www.ncbi.nlm.nih.gov/pubmed/31288597?dopt=Abstract
Das A. Genes, depressive symptoms, and chronic stressors: A nationally representative longitudinal study in the United States. Social Science & Medicine. 2019;242:112586. doi:doi.org/10.1016/j.socscimed.2019.112586.
Papageorge N, Thom K. Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study. Journal of the European Economic Association. 2020;18(3):1351 - 1399. doi:10.1093/jeea/jvz072.
Herd P, Freese J, Sicinski K, et al. Genes, Gender Inequality, and Educational Attainment. AMERICAN SOCIOLOGICAL REVIEW. 2019;84:1069-1098. doi:10.1177/0003122419886550.
Huibregtse BM, Newell-Stamper BL, Domingue BW, Boardman JD. Genes Related to Education Predict Frailty Among Older Adults in the United States. The Journals of Gerontology, Series B . 2021;76(1):173-183. doi:10.1093/geronb/gbz092.
Das A. Genes-in-Dyads: A Study of Relationship Quality. Research on Aging. 2020. doi:10.1177/0164027520920024.
Oster E, Shoulson I, Quaid K, E. Dorsey R. Genetic adverse selection: Evidence from long-term care insurance and Huntington disease. Journal of Public Economics. 2010;94(11-12):1041-1050. doi:https://doi.org/10.1016/j.jpubeco.2010.06.009.
Domingue BW, Fletcher JM, Conley DC, Boardman JD. Genetic and educational assortative mating among US adults. Proc Natl Acad Sci U S A. 2014;111(22):7996-8000. doi:10.1073/pnas.1321426111.
http://www.ncbi.nlm.nih.gov/pubmed/24843128?dopt=Abstract
Das A. Genetic and Educational Correlates of Religious Belief. Adaptive Human Behavior and Physiology. 2020;6(1):119 - 136. doi:10.1007/s40750-020-00131-7.