iLifespan Publications & Presentations

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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.	view
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.	view
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.	view
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.	view
McClearn, G. E., & Hofer, S. M. (1999). Genes as gerontological variables: Genetically heterogeneous stocks and complex systems. Neurobiology of Aging, 20, 147-156.	view
McClearn, G. E., & Hofer, S. M. (1999). Genes as gerontological variables: Uniform genotypes. Neurobiology of Aging, 20, 95-104.	view
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 (5^th Edition; pp. 423-444). San Diego: Academic Press.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view
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.	view

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