HRS Bibliography

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B

Sakib N, Sun X, Kong N, Meng H, Li M. Bi-level heterogeneity modeling of functional performance degradation for the aging population. IISE Transactions on Healthcare Systems Engineering. 2017;7(3):156-167. doi:10.1080/24725579.2017.1339147.

C

van Raalte AA, Sasson I, Martikainen P. The case for monitoring life-span inequality. Science. 2018;362(6418):1002-1004. doi:10.1126/science.aau5811.
Weir DR, McCammon R, 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)
Brown DC, Lariscy JT, Kalousova L. Comparability of mortality estimates from social surveys and vital statistics data in the United States. Population Research and Policy Review. 2019;38(3):371-401. doi:10.1007/s11113-018-9505-1.
http://www.ncbi.nlm.nih.gov/pubmed/31156286?dopt=Abstract
Miller B, Arpawong TE, Jiao H, et al. Comparing the utility of mitochondrial and nuclear DNA to adjust for genetic ancestry in association studies. Cells. 2019;8(4). doi:10.3390/cells8040306.
http://www.ncbi.nlm.nih.gov/pubmed/30987182?dopt=Abstract
Gianattasio KZ, Wu Q, Glymour MM, Power MC. Comparison of methods for algorithmic classification of dementia status in the Health and Retirement Study. Epidemiology. 2019;30(2):291-302. doi:10.1097/EDE.0000000000000945.
http://www.ncbi.nlm.nih.gov/pubmed/30461528?dopt=Abstract
Wolinsky FD, Jones MP, Ullrich F, Lou Y, Wehby GL. The Concordance of Survey Reports and Medicare Claims in a Nationally Representative Longitudinal Cohort of Older Adults. Medical Care. 2014;52(5):462-468. doi:10.1097/MLR.0000000000000120.
Dey R, Islam MA. A conditional count model for repeated count data and its application to GEE approach. Statistical Papers. 2017;58(2):485-504. doi:10.1007/s00362-015-0708-9.
Ayanian JZ, Covinsky KE, Landon BE, McCarthy EP, Wee CC, Steinman MA. Conducting High-Value Secondary Dataset Analysis: An Introductory Guide and Resources. Journal of General Internal Medicine. 2011;26(8):920 - 929. doi:10.1007/s11606-010-1621-5.
Wilkinson LR, Ferraro KF, Kemp BR. Contextualization of Survey Data: What Do We Gain and Does It Matter?. Research in Human Development. 2017;14(3):234-252. doi:10.1080/15427609.2017.1340049.
Yank V, Agarwal S, Loftus P, Asch S, Rehkopf DH. Crowdsourced health data: Comparability to a US national survey, 2013–2015. American Journal of Public Health. 2017;107(8):1283-1289. doi:10.2105/AJPH.2017.303824.

D

Wu C, G. Geldhof J, Xue Q-L, Kim DHyun, Newman AB, Odden MC. Development, Construct Validity, and Predictive Validity of a Continuous Frailty Scale: Results from Two Large U.S. Cohorts. American Journal of Epidemiology. 2018;187(8):1752-1762. doi:10.1093/aje/kwy041.
http://www.ncbi.nlm.nih.gov/pubmed/29688247?dopt=Abstract
Quiñones AR, Melekin A, Cigolle CT, Nagel CL. Disputes of self-reported chronic disease over time: The role of race, ethnicity, nativity, and language of interview. Medical Care. 2019;57(8):625-632. doi:10.1097/MLR.0000000000001148.
http://www.ncbi.nlm.nih.gov/pubmed/31299025?dopt=Abstract
Crimmins EM, Faul JD, Kim JKi, Weir DR. Documentation of Biomarkers in the 2010 and 2012 Health and Retirement Study. Ann Arbor, Michigan: Survey Research Center, University of Michigan; 2015:15.PDF icon Download PDF (198.27 KB)