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Semiparametric Theory and Missing Data by TSIATIS, A. A.
Authors:Andrea  Rotnitzky
Affiliation:Department of Economics Universidad Di Tella Buenos Aires, Argentina
Department of Biostatistics Harvard School of Public Health Boston, U.S.A.
Abstract:Semiparametric Theory and Missing Data (A. A. Tsiatis) Andrea Rotnitzky Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis (M. J. Daniels and J. W. Hogan) Daniel F. Heitjan Bayesian Biostatistics and Diagnostic Medicine (L. D. Broemeling) Paul Gustafson Statistics in the Pharmaceutical Industry, 3rd edition (C. R. Buncher and J.‐Y. Tsay, Editors) Ralph B. D'Agostino Jr. Introduction to Machine Learning and Bioinformatics (S. Mitra, S. Datta, T. Perkins, and G. Michailidis) Yulan Liang The Statistics of Gene Mapping (D. Siegmund and B. Yakir) Hongyu Zhao DNA Methylation Microarrays: Experimental Design and Statistical Analysis (S.‐C. Wang and A. Petronis) Kimberly D. Siegmund Multiple Testing Procedures with Applications to Genomics (S. Dudoit and M. J. van der Laan) Ruth Heller The Statistical Analysis of Functional MRI Data (N. A. Lazar) Wesley K. Thompson Simulation and Inference for Stochastic Differential Equations with R Examples (S. M. Iacus) Dave Campbell Nonparametric Analysis of Univariate Heavy‐Tailed Data: Research and Practice (N. Markovich) M. Ivette Gomes Time Series Analysis with Applications in R, 2nd edition (J. D. Cryer and K.‐S. Chan) Timothy D. Johnson Brief Reports by the Editor Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences (C. P. Doncaster and A. J. H. Davey) Computational Statistics Handbook with MATLAB ®, 2nd edition (W. L. Martinez and A. R. Martinez) Models for Probability and Statistical Inference: Theory and Applications (J. H. Stapleton) Medical Biostatistics, 2nd edition (A. Indrayan) Computational Methods in Biomedical Research (R. Khattree and D. N. Naik, Editors)
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