HRS Bibliography

Bibliography Search
Export 35 results:
Filters: Keyword is Meta-analyses  [Clear All Filters]

2010

Lange F, McKee D. Accurately Measuring Health Over the Life Course. Boston, MA: Center for Retirement Research at Boston College; 2010.
Schoeni RF, Ofstedal MBeth. Key themes in research on the demography of aging. Demography. 2010;47 Suppl(Suppl 1):S5-15. doi:10.1353/dem.2010.0001.
Li X, Engel CC, Kang H, Gore KL. Reducing selection bias in analyzing longitudinal health data with high mortality rates. Journal of Modern Applied Statistical Methods. 2010;9(2):Article 2.

2012

Smith JP, Banks J. International Comparisons in Health Economics: Evidence from Aging Studies. Annual Review of Economics. 2012;4:57-81. doi:10.1146/annurev-economics-080511-110944.
Sakshaug JW, Couper MP, Ofstedal MBeth, Weir DR. Linking Survey and Administrative Records: Mechanisms of Consent. Sociological Methods & Research. 2012;41(4):535-569. doi:10.1177/0049124112460381.

2013

Wagner J, Valliant R, Hubbard F, Jiang C. Level-of-Effort Paradata and Nonresponse Adjustment Models for a National Face-to-Face Survey. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2013.PDF icon Download PDF (1.64 MB)
Smith J, Fisher GG, Ryan LH, Clarke PJ, House J, Weir DR. Psychosocial and Lifestyle Questionnaire 2006 - 2010: Documentation Report. Ann Arbor: Survey Research Center, Institute for Social Research, University of Michigan; 2013:62.
This has been replaced by a newer version of this report: https://hrs.isr.umich.edu/publications/biblio/9066
PDF icon Download PDF (658.43 KB)

2017

Kelley MS, Bernard MA, Hodes RJ. Aging research: Collaborations forge a promising future. Journal of the American Geriatric Society. 2017;65(11):2441-2445. doi:10.1111/jgs.15052.
http://www.ncbi.nlm.nih.gov/pubmed/28857125?dopt=Abstract
Zhao W, Yasutake K, August C, et al. Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies. Int J Environ Res Public Health. 2017;14(12). doi:10.3390/ijerph14121596.
http://www.ncbi.nlm.nih.gov/pubmed/29258278?dopt=Abstract
Pare G, Mao S, Deng WQ. A machine-learning heuristic to improve gene score prediction of polygenic traits. Scientific Reports. 2017;7(1):12665. doi:10.1038/s41598-017-13056-1.
http://www.ncbi.nlm.nih.gov/pubmed/28979001?dopt=Abstract