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 JD, et al. Heterogeneity in polygenic scores for common human traits. bioRxiv. Forthcoming. doi:10.1101/106062.
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 (187.29 KB)
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, 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, 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, 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, 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. Socio-economic Status and Mortality: Perceptions and Outcomes.; 2010.
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, 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. 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, 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, 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. 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. 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. 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, Faul JD, 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. Longitudinal and Life Course Studies. 2011;2(2):170-184. doi:10.14301/llcs.v2i2.116.
Wilson RS, Weir DR, Leurgans SE, et al. Sources of variability in estimates of the prevalence of Alzheimer's disease in the United States. Alzheimer's & Dementia. 2011;7(1):74-79. doi:10.1016/j.jalz.2010.11.006.