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Roderick Joseph Little

Personal Details

First Name:Roderick
Middle Name:Joseph
Last Name:Little
Suffix:
RePEc Short-ID:pli317
[This author has chosen not to make the email address public]
http://sitemaker.umich.edu/rlittle/home

Affiliation

Institute for Social Research (ISR)
University of Michigan

Ann Arbor, Michigan (United States)
http://www.isr.umich.edu/

: (734) 764-8363
(734) 647-4575
426 Thompson St., Ann Arbor, MI 48104-2321
RePEc:edi:isumius (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Qi Long & Rod Little & Xihong Lin, 2004. "Causal Inference in Hybrid Intervention Trials Involving Treatment Choice," The University of Michigan Department of Biostatistics Working Paper Series 1033, Berkeley Electronic Press.
  2. Rod Little & Sonya Vartivarian, 2004. "Does Weighting for Nonresponse Increase the Variance of Survey Means?," The University of Michigan Department of Biostatistics Working Paper Series 1034, Berkeley Electronic Press.

Articles

  1. Roderick J. Little & Nanhua Zhang, 2011. "Subsample ignorable likelihood for regression analysis with missing data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 60(4), pages 591-605, August.
  2. Hyonggin An & Roderick Little & Andrea Bozoki, 2010. "A statistical algorithm for detecting cognitive plateaus in Alzheimer's disease," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(5), pages 779-789.
  3. Rebecca R. Andridge & Roderick J. A. Little, 2010. "A Review of Hot Deck Imputation for Survey Non-response," International Statistical Review, International Statistical Institute, vol. 78(1), pages 40-64, April.
  4. Qi Long & Roderick J. A. Little & Xihong Lin, 2010. "Estimating causal effects in trials involving multitreatment arms subject to non-compliance: a Bayesian framework," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(3), pages 513-531.
  5. Xiaoxi Zhang & Timothy D. Johnson & Roderick J. A. Little & Yue Cao, 2010. "Longitudinal image analysis of tumour-healthy brain change in contrast uptake induced by radiation," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(5), pages 821-838.
  6. Roderick Little, 2009. "Comments on: Missing data methods in longitudinal studies: a review," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 47-50, May.
  7. Long, Qi & Little, Roderick J. & Lin, Xihong, 2008. "Causal Inference in Hybrid Intervention Trials Involving Treatment Choice," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 474-484, June.
  8. Little, Roderick J. & Long, Qi & Lin, Xihong, 2008. "Comment," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1344-1346.
  9. Di An & Roderick J. A. Little, 2007. "Multiple imputation: an alternative to top coding for statistical disclosure control," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 923-940.
  10. Little, Roderick J., 2007. "Comment," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 412-415, June.
  11. Ying Yuan & Roderick J. A. Little, 2007. "Model-based estimates of the finite population mean for two-stage cluster samples with unit non-response," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 56(1), pages 79-97.
  12. Little, Roderick J., 2006. "Calibrated Bayes: A Bayes/Frequentist Roadmap," The American Statistician, American Statistical Association, vol. 60, pages 213-223, August.
  13. Elliott, Michael R. & Little, Roderick J.A., 2005. "A Bayesian Approach to 2000 Census Evaluation Using ACE Survey Data and Demographic Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 380-388, June.
  14. Little R.J., 2004. "To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 546-556, January.
  15. Yau L.H.Y. & Little R.J., 2001. "Inference for the Complier-Average Causal Effect From Longitudinal Data Subject to Noncompliance and Missing Data, With Application to a Job Training Assessment for the Unemployed," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1232-1244, December.
  16. Little, Roderick, 1995. "Models for Attrition in Longitudinal Studies," Mathematical Social Sciences, Elsevier, vol. 30(1), pages 97-97, August.
  17. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 300-301, July.
  18. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 287-296, July.
  19. Little, Roderick J. A., 1988. "Approximately calibrated small sample inference about means from bivariate normal data with missing values," Computational Statistics & Data Analysis, Elsevier, vol. 7(2), pages 161-178, December.
  20. Little, Roderick J A, 1985. "A Note about Models for Selectivity Bias," Econometrica, Econometric Society, vol. 53(6), pages 1469-1474, November.

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