Roderick J.A. Little, Ph.D.
Richard D. Remington Distinguished University Professor, Biostatistics Department Professor, Statistics Department Research Professor, Institute for Social Research University of Michigan
BA in Mathematics, Cambridge University, 1971 MSc in Statistics and Operational Research, London University, 1972 PhD in Statistics, London University, 1974
Research Interests: Incomplete Data, Sample Surveys, Bayesian Statistics, Applied Statistics.
A primary research interest is the analysis of data sets with missing values. Many statistical techniques are designed for complete, rectangular data sets, but in practice biostatistical data
sets contain missing values, either by design or accident. As detailed
in my book with Rubin, initial statistical approaches were relatively
adhoc, such as discarding incomplete cases or substituting means, but
modern methods are increasingly based on models for the data and
missingdata mechanism, using likelihoodbased inferential techniques.
For a recent talk on this topic presented at the SAS SUGI conference in
2005, see
Another
interest is the analysis of data collected by complex sampling designs
involving stratification and clustering of units. Since working as a
statistician for the World Fertility Survey, I have been interested in
the development of modelbased methods for survey analysis that are robust to misspecification, reasonably efficient, and capable of implementation in applied settings.
Statistics
is philosophically fascinating and diverse in application. My
inferential philosophy is modelbased and Bayesian, although the effects
of model misspecification need careful attention. My applied interests
are broad, including mental health, demography, environmental
statistics, biology, economics and the social sciences as well as
biostatistics.
Selected HighlyCited Publications {Number of citations in Google Scholar, October 2019}
Statistical analysis with missing data {26230} RJA Little, DB Rubin Wiley

1987

Modeling the dropout mechanism in repeatedmeasures studies {1471} RJA Little Journal of the American Statistical Association, 11121121

1995

Robust statistical modeling using the t distribution {1380} KL Lange, RJA Little, JMG Taylor Journal of the American Statistical Association, 881896

1989

Regression with missing X's: a review {1282} RJA Little Journal of the American Statistical Association, 12271237

1992

Patternmixture models for multivariate incomplete data {1003} RJA Little Journal of the American Statistical Association, 125134

1993

Survey nonresponse adjustments {586} RJA Little International statistical review 54, 139157

1986

Survey nonresponse {624} RM Groves, D Dillman, JL Eltinge, RJA Little Wiley

2002

Models for nonresponse in sample surveys {422} RJA Little Journal of the American Statistical Association, 237250

1982

Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches {640} RJ Little, DB Rubin Annual Review of Public Health 21 (1), 121145

2000

Intenttotreat analysis for longitudinal studies with dropouts {390} R Little, L Yau Biometrics, 13241333

1996

(revised May, 2016) 

