Welcome to the Working Papers site for the Department of Biostatistics at the University of Michigan. The papers available on this site represent a selection of the current research being conducted by members of our department, which includes 23 faculty, 31 staff and 120 students. The Department of Biostatistics plays an instrumental role in bringing biostatistical expertise to a wide spectrum of health-related problems. We seek to advance knowledge in biostatistics and health through educational programs for students and applied researchers. The Department also plays a major service role, both within the University of Michigan and on the national and international stage. Read more...

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Papers from 2003

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To Model or Not to Model? Competing Modes of Inference for Finite Population Sampling, Rod Little

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Robust Likelihood-based Analysis of Multivariate Data with Missing Values, Rod Little and An Hyonggin

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Selective Multiple Imputation of Keys for Statistical Disclosure Control in Microdata, Rod Little and Fang Liu

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A Varying-Coefficient Cox Model for the Effect of Age at a Marker Event on Age at Menopause, Bin Nan, Xihong Lin, Lynda D. Lisabeth, and Sioban D. Harlow

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An Extended General Location Model for Causal Inference from Data Subject to Noncompliance and Missing Values, Yahong Peng, Rod Little, and Trivellore E. Raghuanthan

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Cluster Stability Scores for Microarray Data in Cancer Studies, Mark Smolkin and Debashis Ghosh

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Maximization by Parts in Likelihood Inference, Peter Xuekun Song, Yanqin Fan, and Jack Kalbfleisch

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On the Formation of Weighting Adjustment Cells for Unit Nonresponse, Sonya Vartivarian and Rod Little

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Weighting Adjustments for Unit Nonresponse with Multiple Outcome Variables, Sonya L. Vartivarian and Rod Little

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Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data, Naisyin Wang, Raymond J. Carroll, and Xihong Lin

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Semiparametric Regression Models with Missing Data: the Mathematics in the Work of Robins et al., Menggang Yu and Bin Nan

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Inference for the Population Total from Probability-Proportional-to-Size Samples Based on Predictions from a Penalized Spline Nonparametric Model, Hui Zheng and Rod Little

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Penalized Spline Nonparametric Mixed Models for Inference About a Finite Population Mean from Two-Stage Samples, Hui Zheng and Rod Little