HRS Bibliography

Bibliography Search
Export 18 results:
Filters: First Letter Of Last Name is W and Author is David R Weir  [Clear All Filters]

W

Ware EB, Schmitz LL, Faul J, et al. Heterogeneity in polygenic scores for common human traits. bioRxiv. Forthcoming. doi:10.1101/106062.
Weir DR, Smith JP. Do panel surveys really make people sick? A commentary on Wilson and Howell (60:11, 2005, 2623-2627). Soc Sci Med. 2007;65(6):1071-7; discussion 1078-81. doi:10.1016/j.socscimed.2007.04.019.
http://www.ncbi.nlm.nih.gov/pubmed/17574714?dopt=Abstract
Weir DR, Ofstedal MBeth. Evaluating Strategies for Reducing Field Costs in a Longitudinal Study. Ann Arbor, MI: Institute for Social Research, University of Michigan; 2016:1-8.PDF icon Download PDF (284.93 KB)
Weir DR, Willis RJ. Prospects for Widow Poverty. In: Mitchell OS, Hammond PBrett, Rappaport AM, eds. Forecasting retirement needs and retirement wealth. Forecasting retirement needs and retirement wealth. Philadelphia: University of Pennsylvania Press; 2000:208 -34.
Weir DR, Faul J, Langa KM. Proxy interviews and bias in the distribution of cognitive abilities due to non-response in longitudinal studies: a comparison of HRS and ELSA. Longit Life Course Stud. 2011;2(2):170-184. doi:10.14301/llcs.v2i2.116.
http://www.ncbi.nlm.nih.gov/pubmed/25360159?dopt=Abstract
Weir DR. Socio-economic Status and Mortality: Perceptions and Outcomes.; 2010.
Weir DR, Wallace RB, Langa KM, et al. Reducing case ascertainment costs in U.S. population studies of Alzheimer's disease, dementia, and cognitive impairment-Part 1. Alzheimers Dement. 2011;7(1):94-109. doi:10.1016/j.jalz.2010.11.004.
http://www.ncbi.nlm.nih.gov/pubmed/21255747?dopt=Abstract
Weir DR, Waite LJ, Wong R, Freedman VA. New Measures and New Designs in Demography of Aging Research. In: Future Directions for the Demography of Aging: Proceedings of a Workshop . Future Directions for the Demography of Aging: Proceedings of a Workshop . Washington, DC: The National Academies Press; 2018:371-396. doi:https://doi.org/10.17226/25064.
Weir DR, Willis RJ. Widowhood, Divorce and Loss of Health Insurance Among Near-Elderly Women: Evidence from the Health and Retirement Study. Ann Arbor, MI: Michigan Retirement Research Center, University of Michigan; 2003.
Weir DR. Validating Mortality Ascertainment in the Health and Retirement Study. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2016.PDF icon Download PDF (669.74 KB)
Weir DR. Biomarkers in Representative Population Surveys. In: The Palgrave Handbook of Survey Research. The Palgrave Handbook of Survey Research. Palgrave Macmillan, Cham; 2018:227-233. doi:https://doi.org/10.1007/978-3-319-54395-6.
Weir DR. Elastic Powers: The Integration of Biomarkers into the Health and Retirement Study. In: Weinstein M, Vaupel JW, Wachter KW, eds. Bio-Social Surveys: Current insight and future promise. Bio-Social Surveys: Current insight and future promise. Washington, DC: The National Academies Press; 2007:78-95.
Weir DR, Lay M, Langa KM. Economic development and gender inequality in cognition: a comparison of China and India, and of SAGE and the HRS sister studies. Journal of Economics of Ageing. 2014;4:114-125. doi:10.1016/j.jeoa.2014.08.002.
Weir DR, Crimmins EM. Racial and Ethnic Differences in Undiagnosed and Poorly Managed Diabetes and Hypertension: Combining Population Surveys with Biomarker Data (HRS2006). The Gerontologist. 2008;48(SPECIAL ISSUE III):1.
Weir DR, Langa KM, Ryan LH. 2016 Harmonized Cognitive Assessment Protocol (HCAP) Study Protocol Summary. Ann Arbor, MI: Health and Retirement Study, Survey Research Center, Institute for Social Research, University of Michigan; 2016:1-15.PDF icon Download PDF (441.6 KB)
Weir DR. Are Baby Boomers Living Well Longer?. In: Redefining Retirement: How Will Boomers Fare?. Redefining Retirement: How Will Boomers Fare? New York, NY: Oxford University Press; 2007.
Weir DR, McCammon RJ, Ryan LH, Langa KM. Cognitive Test Selection for the Harmonized Cognitive Assessment Protocol (HCAP). Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2014.PDF icon Download PDF (485.77 KB)
Wilson RS, Weir DR, Leurgans SE, et al. Sources of variability in estimates of the prevalence of Alzheimer's disease in the United States. Alzheimers Dement. 2011;7(1):74-9. doi:10.1016/j.jalz.2010.11.006.
http://www.ncbi.nlm.nih.gov/pubmed/21255745?dopt=Abstract