HRS Bibliography

Bibliography Search
Export 1866 results:
Filters: First Letter Of Last Name is W  [Clear All Filters]

2013

Chiu C-J, Wray LA, Lu F-hwa, Beverly EA. BMI change patterns and disability development of middle-aged adults with diabetes: a dual trajectory modeling approach. J Gen Intern Med. 2013;28(9):1150-6. doi:10.1007/s11606-013-2399-z.
http://www.ncbi.nlm.nih.gov/pubmed/23463456?dopt=Abstract
Babiarz PD, Widdows R, Yilmazer T. Borrowing to cope with adverse health events: liquidity constraints, insurance coverage, and unsecured debt. Health Economics. 2013;22(10):1177-98. doi:10.1002/hec.2877.
Weigel PA, Hockenberry J, Bentler SE, Wolinsky FD. Chiropractic use and changes in health among older medicare beneficiaries: a comparative effectiveness observational study. J Manipulative Physiol Ther. 2013;36(9):572-84. doi:10.1016/j.jmpt.2013.08.008.
http://www.ncbi.nlm.nih.gov/pubmed/24144425?dopt=Abstract
PDF icon nihms530272.pdf (91.79 KB)
Weigel PA, Hockenberry J, Bentler SE, Wolinsky FD. Chiropractic use and changes in health among older medicare beneficiaries: a comparative effectiveness observational study. J Manipulative Physiol Ther. 2013;36(9):572-84. doi:10.1016/j.jmpt.2013.08.008.
http://www.ncbi.nlm.nih.gov/pubmed/24144425?dopt=Abstract
PDF icon nihms530272.pdf (91.79 KB)
Willis RJ. The Cognitive Demands of Work and the Length of Working Life: The Case of Computerization. Stanford Institute of Economic Policy Research; 2013.
Wu B, Tchetgen EJTchetgen, Osypuk TL, White K, Mujahid M, M. Glymour M. Combining direct and proxy assessments to reduce attrition bias in a longitudinal study. Alzheimer Dis Assoc Disord. 2013;27(3):207-12. doi:10.1097/WAD.0b013e31826cfe90.
http://www.ncbi.nlm.nih.gov/pubmed/22992720?dopt=Abstract
Wu B, Tchetgen EJTchetgen, Osypuk TL, White K, Mujahid M, M. Glymour M. Combining direct and proxy assessments to reduce attrition bias in a longitudinal study. Alzheimer Dis Assoc Disord. 2013;27(3):207-12. doi:10.1097/WAD.0b013e31826cfe90.
http://www.ncbi.nlm.nih.gov/pubmed/22992720?dopt=Abstract
Hsu JW, Willis RJ. Dementia Risk and Financial Decision Making by Older Households: The Impact of Information. Journal of Human Capital. 2013:45. doi:10.2139/ssrn.2339225.
Smith AK, Walter LC, Miao Y, W Boscardin J, Covinsky KE. Disability during the last two years of life. JAMA Intern Med. 2013;173(16):1506-13. doi:10.1001/jamainternmed.2013.8738.
http://www.ncbi.nlm.nih.gov/pubmed/23836120?dopt=Abstract
Crimmins EM, Faul J, Kim JK, et al. Documentation of Biomarkers in the 2006 and 2008 Health and Retirement Study. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2013.PDF icon Download PDF (364.89 KB)
Crimmins EM, Faul J, Kim JK, et al. Documentation of Biomarkers in the 2006 and 2008 Health and Retirement Study. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2013.PDF icon Download PDF (364.89 KB)
Woldemichael AD. Essays on formal and informal long-term health insurance markets. 2013;3613385:128.
Bound J, Caswell KJ, Waidmann TA. Estimates of the Potential Insurance Value of Disability Insurance for Individuals with Mental Health Impairments. Ann Arbor, MI, University of Michigan Retirement Research Center; 2013.
Hudomiet P, Willis RJ. Estimating Second Order Probability Beliefs from Subjective Survival Data. Decis Anal. 2013;10(2). doi:10.1287/deca.2013.0266.
http://www.ncbi.nlm.nih.gov/pubmed/24403866?dopt=Abstract
Wong ES. Gender preference and transfers from parents to children: an inter-regional comparison. International Review of Applied Economics. 2013;27(1):61.
Walter S, Mejía-Guevara I, Tchetgen Tchetgen EJ, et al. A Genetic IV Analysis to Assess the Effect of Body Mass Index on Depression in the Health And Retirement Study. Am J Epidemiol. 2013;177:S12.
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract