HRS Bibliography

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Santosa A, Ng N, Zetterberg L, Eriksson M. Study Protocol: Social Capital as a Resource for the Planning and Design of Socially Sustainable and Health Promoting Neighborhoods- A Mixed Method Study. Front Public Health. 2020;8:581078. doi:10.3389/fpubh.2020.581078.
Santiago AM, Muschkin CG. Disentangling the effects of disability status and gender on the labor supply of Anglo, black, and Latino older workers. Gerontologist. 1996;36(3):299-310. doi:10.1093/geront/36.3.299.
http://www.ncbi.nlm.nih.gov/pubmed/8682328?dopt=Abstract
Sanses TVD. Functional Status and Muscle Evaluation in Older Women with Urinary Incontinence. Epidemiology and Preventive Medicine. 2019;M.S.:103.
Sanses TVD, Schiltz NK, Couri BM, et al. Functional status in older women diagnosed with pelvic organ prolapse. Am J Obstet Gynecol. 2016;214(5):613.e1-7. doi:10.1016/j.ajog.2015.11.038.
http://www.ncbi.nlm.nih.gov/pubmed/26704893?dopt=Abstract
Sanguinetti TP. Decision-Making in Health Insurance Markets. Philosophy. 2020;Doctor of Philosophy.
Sanghvi DEnna, Chen MShuquan, Bonanno GA. Prospective trajectories of depression predict mortality in cancer patients. Journal of Behavioral Medicine. Forthcoming. doi:10.1007/s10865-024-00485-3.
Sanchez-Niubo A, Egea-Cortés L, Olaya B, et al. Cohort Profile: The Ageing Trajectories of Health - Longitudinal Opportunities and Synergies (ATHLOS) project. International Journal of Epidemiology. 2019;48(4):1052-1053i. doi:10.1093/ije/dyz077.
Sanchez-Niubo A, Forero CG, Wu Y-T, et al. Development of a common scale for measuring healthy ageing across the world: results from the ATHLOS consortium. International Journal of Epidemiology. 2021;50(3):880-892. doi:10.1093/ije/dyaa236.
Sanchez-Arias R, Batista RW. Unsupervised Learning on the Health and Retirement Study using Geometric Data Analysis. In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). Boca Raton, FL, USA: IEEE; 2019. doi:10.1109/ICMLA.2019.00063.
Samwick AA, Wise DA. Option Value Estimation with HRS Data. In: Ogura S, Tachibanaki T, Wise DA, eds. Labor Markets and Firm Benefit Policies in Japan and the United States. Labor Markets and Firm Benefit Policies in Japan and the United States. Chicago: University of Chicago Press; 2003:205-228.
Samwick AA. Means Testing Federal Health Entitlement Benefits. Tax Policy and the Economy. 2018;32(1):173 - 210. doi:10.3386/w23990.
Samuels R. Customized Benefits, Financial Literacy Are Key to Closing the Racial Retirement Savings Gap.
Samper-Ternent R, Kuo YFang, Ray LA, Ottenbacher KJ, Markides KS, Snih SAl. Prevalence of Health Conditions and Predictors of Mortality in Oldest Old Mexican Americans and Non-Hispanic Whites. Journal of the American Medical Directors Association. 2012;13(3):254 - 259. doi:10.1016/j.jamda.2010.07.010.
Salm M. Essays on Health and Household Finances. 2006.
Salm M. Subjective Mortality Expectations and Consumption and Saving Behaviours among the Elderly. Canadian Journal of Economics. 2010;43(3):1040-1057.
Salm M. Does job loss cause ill health?. Health Econ. 2009;18(9):1075-89. doi:10.1002/hec.1537.
http://www.ncbi.nlm.nih.gov/pubmed/19634153?dopt=Abstract
Saldana SLee. Comparing Cognitive Functioning in White Mexican/Mexican Americans and non-Hispanic White Americans with and without Type 2 Diabetes. Department of Psychology. 2019;Master of Science:49.
Saldana SLee, Guarnaccia CA. Comparing cognitive function in white Mexican & non-Hispanic white Americans with/without diabetes. Journal of Diabetes & Metabolic Disorders. 2022;21(1):599-605. doi:10.1007/s40200-022-01022-2.
Salamon M. Can self-employment promote better cardiovascular health for women?.
Sakshaug JW, Couper MP, Ofstedal MBeth. Characteristics of physical measurement consent in a population-based survey of older adults. Med Care. 2010;48(1):64-71. doi:10.1097/mlr.0b013e3181adcbd3.
http://www.ncbi.nlm.nih.gov/pubmed/20050351?dopt=Abstract
Sakshaug JW. Reducing Nonresponse and Linkage Consent Bias in Large-Scale Panel Surveys. 2021.PDF icon Download PDF (193.87 KB)
Sakshaug JW. Reducing Nonresponse and Data Linkage Consent Bias in Large-Scale Panel Surveys. Forum for Health Economics and Policy. 2022. doi:10.1515/fhep-2021-0060.
Sakshaug JW, Weir DR, Nicholas LHersch. Identifying diabetics in Medicare claims and survey data: implications for health services research. BMC Health Serv Res. 2014;14:150. doi:10.1186/1472-6963-14-150.
http://www.ncbi.nlm.nih.gov/pubmed/24693862?dopt=Abstract
Sakshaug JW, Couper MP, Ofstedal MBeth, Weir DR. Linking Survey and Administrative Records: Mechanisms of Consent. Sociological Methods & Research. 2012;41(4):535-569. doi:10.1177/0049124112460381.
Sakshaug JW, Weir DR, Nicholas LHersch. 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.