HRS Bibliography

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A

Tan YV, Flannagan CAC, Pool LR, Elliott MR. Accounting for selection bias due to death in estimating the effect of wealth shock on cognition for the Health and Retirement Study. Ithaca: arXiv.org; 2018.
Cagnone S, Bartolucci F. Adaptive Quadrature for Maximum Likelihood Estimation of a Class of Dynamic Latent Variable Models. Computational Economics. 2017;49(4):599 - 622. doi:10.1007/s10614-016-9573-4.
Alternate Wave Question Cross-Reference Table. 2016.
Wagner J, Olson K. An Analysis of Interviewer Travel and Field Outcomes in Two Field Surveys. Journal of Official Statistics. 2018;34(1):211-237. doi:10.1515/jos-2018-0010.
Yan T, Ryan LH, Becker SE, Smith J. Assessing Quality of Answers to a Global Subjective Well-being Question Through Response Times. Survey Research Methods. 2015;9(2):101-109.
Kröger H, Hoffmann R. The association between CVD-related biomarkers and mortality in the Health and Retirement Survey. Demographic Research. 2018;38:1933-2002. doi:10.4054/DemRes.2018.38.62.

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 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)
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 B, M. Glymour M, 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 FA, 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, M. Islam A. 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 D. 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 DH, 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 J, Kim JK, 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)

E

Chin A, De Bruin WBruine. Eliciting Stock Market Expectations: The Effects of Question Wording on Survey Experience and Response Validity. Journal of Behavioral Finance. 2018;19(1):101-110. doi:10.1080/15427560.2017.1373353.
Cernat A, Couper MP, Ofstedal MBeth. Estimation of Mode Effects in the Health and Retirement Study Using Measurement Models. Journal of Survey Statistics and Methodology. 2016;4(4):501 - 524. doi:10.1093/jssam/smw021.

F

McFall BHelppie, Sonnega A. Feasibility and reliability of automated coding of occupation in the Health and Retirement Study. Ann Arbor: Survey Research Center, Institute for Social Research, University of Michigan; 2018:1-19.
Mitchell OS. A Financial Literacy Test That Works. Forbes.

G

Ejima K, Pavela G, Li P, Allison DB. Generalized lambda distribution for flexibly testing differences beyond the mean in the distribution of a dependent variable such as body mass index. International Journal of Obesity. 2018;42(4):930-933. doi:10.1038/ijo.2017.262.