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Brickler, J. B., Stallings, M. C., Corley, R. P., Wadsworth, S. J., Bryan, A., Timberlake, D., Hofer, S., M., Hewitt, J. K., Caspi, A., & DeFries, J. C. (2006). Genetic and environmental influences on age at sexual initiation in the Colorado Adoption Project. Behavior Genetics, 36, 820-832.
 
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Foreman, J. E., Lionikas, A., Lang, D. H., Gyekis, J. P., Krishnan, M. U., Sharkey, N. A., Gerhard, G. S., Grant, M. D., Vogler, G. P., Mack, H. A., Stout, J. T., Griffith, J. W., Lakoski, J. M., Hofer, S. M., McClearn, G. E., Vandenbergh, D. J., & Blizard, D. A. (2009). Genetic architecture for hole-board behaviors across substantial time intervals in young, middle-aged, and old mice. Genes, Brain, and Behavior, 8,714-727.
 
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Heiman, N., Stallings, M. C., Hewitt, J. K., & Hofer, S. M. (2003). Investigating age differences in the genetic and environmental structure of the Tridimensional Personality Questionnaire in later adulthood. Behavior Genetics, 33, 171-180.
 
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Johansson, B., Hofer, S. M., Allaire, J. C., Maldonado-Molina, M., Piccinin, A. M., Berg, S., Pedersen, N., & McClearn, G. E. (2004). Change in memory and cognitive functioning in the oldest-old: The effects of proximity to death in genetically related individuals over a six-year period. Psychology and Aging, 19, 145-156.
 
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McClearn, G. E., & Hofer, S. M. (1999). Genes as gerontological variables: Genetically heterogeneous stocks and complex systems. Neurobiology of Aging, 20, 147-156.
 
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McClearn, G. E., & Hofer, S. M. (1999). Genes as gerontological variables: Uniform genotypes. Neurobiology of Aging, 20, 95-104.
 
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McClearn, G. E., Vogler, G. M., & Hofer, S. M. (2001). Gene-gene and gene-environment interactions. In E. J. Masoro & S. N. Austad (Eds.), Handbook of the biology of aging (5th Edition; pp. 423-444). San Diego: Academic Press.
 
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Shanahan, M. J., & Hofer, S. M. (2005). Social context in gene-environment interactions: Retrospect and prospect. Journal of Gerontology: Behavioral and Social Sciences, 60B (Special Issue I), 65-76.
 
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Shanahan, M. J., Hofer, S. M., & Shanahan, L. (2003). Biological models of behavior and the life course. In J. T. Mortimer & M. J. Shanahan (Eds.), Handbook of the life course (pp. 597-622). New York: Plenum.
 
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Vogler, G. P., Tang, W., Nelson, T. L., Hofer, S. M., Grant, J. D., Tarantino, L. M., & Fernandez, J. R. (1997). A multivariate model for the analysis of sib-ship covariance structure using marker information and multiple quantitative traits. Journal of Genetic Epidemiology, 14, 921-926.
 
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Bontempo, D. E., Hofer, S. M., Mackinnon, A., Piccinin, A. M., Gray, K., Tonge, B., & Einfeld, S. (2008). Factor structure of the Developmental Behavior Checklist using confirmatory factor analysis of polytomous items. Journal of Applied Measurement, 9, 265-280.
 
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Einfeld, S. L., Piccinin, A. M., Mackinnon, A., Hofer, S., M., Taffe, J., Gray, K. E., Bontempo, D. E., Hoffman, L. R., Parmenter, T., & Tonge, B. J. (2006). Psychopathology in young people with intellectual disability. Journal of the American Medical Association, 296, 1981-1989.
 
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Hofer, S. M., Gray, K. M., Piccinin, A. M., Mackinnon, A. J., Bontempo, D. E., Einfeld, S. L., Hoffman, L., Parmenter, T., & Tonge, B. J. (2009). Correlated and coupled within-person change in emotional and behavior disturbance in individuals with intellectual disability. American Journal on Intellectual and Developmental Disabilities, 5, 307-321.
 
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Hassing, L. B., Grant, M. D., Hofer, S. M., Pedersen, N. L., Nilsson, S. E., Berg, S., McClearn, G. E. & Johansson, B. (2004). Type 2 diabetes mellitus contributes to cognitive change in the oldest old: A longitudinal population-based study. Journal of the International Neuropsychological Society, 4, 599-607.
 
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Hassing, L. B., Hofer, S. M., Nilsson, S. E., Berg, S., Pedersen, N. L., McClearn, G. E. & Johansson, B. (2004). Comorbid Type 2 diabetes mellitus and hypertension exacerbates cognitive decline: Evidence from a longitudinal study. Age and Ageing, 33, 355-361.
 
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Hassing, L. B., Johansson, B., Berg, S., Nilsson, S. E., Pedersen, N. L., Hofer, S. M., & McClearn, G. E. (2002). Terminal decline and markers of cerebro- and cardiovascular disease: Findings from a longitudinal study of the oldest-old. Journals of Gerontology B: Psychological Sciences/ Social Sciences, 57, P268-P276.
 
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Hofer, S. M., & Sliwinski, M. J. (2001). Understanding ageing: An evaluation of research designs for assessing the interdependence of ageing-related changes. Gerontology, 47, 341-352.
 
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Hofer, S. M., Sliwinski, M. J., & Flaherty, B. P. (2002). Understanding Aging: Further commentary on the limitations of cross-sectional designs for aging research. Gerontology, 48, 22-29.
 
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Hofer, S. M., Flaherty, B. P., & Hoffman, L. (2006). Cross-sectional analysis of time-dependent data: Problems of mean-induced association in age-heterogeneous samples and an alternative method based on sequential narrow age-cohorts. Multivariate Behavioral Research, 41, 165-187.
 
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Sliwinski, M. J., & Hofer, S. M. (1999). How strong is the evidence for mediational hypotheses of age-related memory loss? A commentary on Luszcz and Bryan. Gerontology, 45, 351-354.
 
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Bontempo, D. E., & Hofer, S. M. (2007). Assessing factorial invariance in cross-sectional and longitudinal studies. In A.D. Ong & M. van Dulmen (Eds.), Handbook of methods in positive psychology (pp. 153-175). Oxford University Press.
 
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Graham, J. W., & Hofer, S. M. (2000). Multiple imputation with NORM in a structural equation modeling context. In T. D. Little, K. U. Schnabel, & J. Baumert, J. (Eds.), Modeling longitudinal and multilevel data: Practical issues, applied approaches, and specific examples (pp. 201-218). Hillsdale, NJ: Erlbaum.
 
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Graham, J. W., Hofer, S. M., Donaldson, S. I., MacKinnon, D. P., & Schafer, J. L. (1997). Analysis with missing data in prevention research. In K. J. Bryant, M. W. Windle, & S. J. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 325-366). Washington, DC: American Psychological Association.
 
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Graham, J. W., Hofer, S. M., & MacKinnon, D. P. (1996). Maximizing the usefulness of data obtained with planned missing value patterns: An application of maximum likelihood procedures. Multivariate Behavioral Research, 31, 197-218.
 
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Graham, J. W., Hofer, S. M., & Piccinin, A. M. (1994). Analyses with missing data in drug abuse prevention research. In L. M. Collins & L. A. Seitz (Eds.), Drug abuse prevention intervention research: Methodological issues (pp. 13-63). National Institute on Drug Abuse Research Monograph Series. Washington, DC: NIDA.
 
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