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Lam looks at population and development in next 15 years in UN commission keynote address

Mitchell et al. find harsh family environments may magnify disadvantage via impact on 'genetic architecture'

Frey says Arizona's political paradoxes explained in part by demography

Highlights

Raghunathan appointed director of Survey Research Center

PSC newsletter spring 2014 issue now available

Kusunoki wins faculty seed grant award from Institute for Research on Women and Gender

2014 PAA Annual Meeting, May 1-3, Boston

Next Brown Bag

Monday, April 21
Grant Miller: Managerial Incentives in Public Service Delivery

Ge Lin photo

Email Address
402 559-2953

Ge Lin

Associate Professor, Health Services Research & Administration, University of Nebraska.

Off-Campus Research Affiliate, Population Studies Center.

Ph.D., State University of New York-Buffalo

Dr. Lin is an expert in Geographic Information Systems, and specializes in research on U.S. migration, geography of aging and health, and their interactions with the environment.

Recent Publications

Journal Articles

Keyes, Katherine M., John E. Schulenberg, Patrick M. O'Malley, Lloyd Johnston, Jerald Bachman, Ge Lin, and Deborah Hasin. 2011. "The social norms of birth cohorts and adolescent marijuana use in the United States, 1976-2007." Addiction, 106(10): 1790-1800. PMCID: PMC3174352. DOI. Abstract.

Keyes, K.M., Rebecca L. Utz, W. Robinson, and Ge Lin. 2010. "What is a cohort effect? Comparison of three statistical methods for modeling cohort effects in obesity prevalence in the United States, 1971-2006." Social Science & Medicine, 70(7): 1100-1108. DOI. Abstract.

Banasick, S., Ge Lin, and R. Hanham. 2009. "Deviance Residual Moran's I Test and Its Application to Spatial Clusters of Small Manufacturing Firms in Japan." International Regional Science Review, 32(1): 3-18. DOI. Abstract.

Lin, Ge, G. Elmes, M. Walnoha, and X.N. Chen. 2009. "Developing a Spatial-Temporal Method for the Geographic Investigation of Shoeprint Evidence." Journal of Forensic Sciences, 54(1): 152-158. DOI. Abstract.

Lin, Ge, and T.L. Zhang. 2007. "Loglinear residual tests of Moran's I autocorrelation and their applications to Kentucky breast cancer data." Geographical Analysis, 39:293-310. DOI. Abstract.

View additional select publications of Ge Lin