HRS Bibliography

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Coyle CE, Putnam M. Identifying adults aging with disability using existing data: The case of the Health and Retirement Study. Disabil Health J. 2017;10(4):611-615. doi:10.1016/j.dhjo.2016.12.016.
http://www.ncbi.nlm.nih.gov/pubmed/28082002?dopt=Abstract
Rast P, Rush J, Piccinin AM, Hofer SM. The Identification of Regions of Significance in the Effect of Multimorbidity on Depressive Symptoms Using Longitudinal Data: An Application of the Johnson-Neyman Technique. Gerontology. 2014;60(3):274-281.
Molinari F. Identification of Probability Distributions with Misclassified Data. Ithaca, NY: Cornell University; 2005.
Rietveld CA, de Vlaming R, Slob EAW. The identification of mediating effects using genome-based restricted maximum likelihood estimation. PLoS Genet. 2023;19(2):e1010638. doi:10.1371/journal.pgen.1010638.
Ostbye T, Taylor, Jr. DH, Clipp EC, Van Scoyoc L, Plassman BL. Identification of dementia: agreement among national survey data, medicare claims, and death certificates. Health Serv Res. 2008;43(1 Pt 1):313-26. doi:10.1111/j.1475-6773.2007.00748.x.
http://www.ncbi.nlm.nih.gov/pubmed/18211532?dopt=Abstract
Tachibana H, Kobayashi S, Kato Y, Nagakura K, Kaneda Y, Takeuchi T. Identification of a pathogenic isolate-specific 30,000-Mr antigen of Entamoeba histolytica by using a monoclonal antibody. Infect Immun. 1990;58(4):955-60. doi:10.1128/iai.58.4.955-960.1990.
http://www.ncbi.nlm.nih.gov/pubmed/2180826?dopt=Abstract