HRS Bibliography

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Journal Article

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.
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 S, 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.
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.
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.
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.
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
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 MB. 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.
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.
Islam MA, Chowdhury RI. A generalized right truncated bivariate Poisson regression model with applications to health data. PLoS One. 2017;12(6):e0178153. doi:10.1371/journal.pone.0178153.
http://www.ncbi.nlm.nih.gov/pubmed/28586344?dopt=Abstract
Sonnega A, Weir DR. The Health and Retirement Study: A Public Data Resource for Research on Aging. Open Health Data. 2014;2(1). doi:10.5334/ohd.am.
Shim H, Ailshire JA, Zelinski EM, Crimmins EM. The Health and Retirement Study: Analysis of Associations Between Use of the Internet for Health Information and Use of Health Services at Multiple Time Points. Journal of Medical Internet Research. 2018;20(5):e200. doi:10.2196/jmir.8203.
Edwards RD. If My Blood Pressure Is High, Do I Take It to Heart? Behavioral Effects of Biomarker Collection in the Health and Retirement Study. Demography. 2018;55(2):403-434. doi:10.1007/s13524-018-0650-2.
Baird C, Lovell J, Johnson M, Shiell K, Ibrahim JE. The impact of cognitive impairment on self-management in chronic obstructive pulmonary disease: A systematic review. Respiratory Medicine. 2017;129:130-139. doi:10.1016/j.rmed.2017.06.006.