An Introduction to Statistical Inference and Its Applications with R by TROSSET,M. W.

An Introduction to Statistical Inference and Its Applications with R (M. W. Trosset) W. N. Venables ROC Curves for Continuous Data (W. J. Krzanowski and D. J. Hand) Lori E. Dodd A Guide to QTL Mapping with R/qtl (K. W. Broman and S. Sen) R. W. Doerge Design and Analysis of Clinical Trials with Time‐to‐Event Endpoint (K. E. Peace, ed.) Yu Shyr Translational Medicine: Strategies and Statistical Methods (D. Cosmatos and S.‐C. Chow) Yongzhao Shao Clinical Prediction Models: A Practical Approach to Development, Validation and Updating (E. W. Steyerberg) Rumana Omar Maximized Penalized Likelihood Estimation: Volume II: Regression (P. P. Eggermont and V. N. LaRicca) Hao Zhang Morphometrics with R (J. Claude) Alfred Kume Statistical Analysis of Network Data: Methods and Models (E. D. Kolaczyk) Crystal Linkletter     

Statistical Analysis of Environmental Space-Time Processes edited by N. D. Le and J. V. Zidek

Statistical Analysis of Environmental Space‐Time Processes (N. D. Le and J. V. Zidek) Jon Wakefield Computer‐Intensive Methods of Data Analysis in Biology (D. A. Roff) A. W. Kemp Randomization, Bootstrap, and Monte Carlo Methods in Biology (3rd Edition) (B. F. J. Manly) A. W. Kemp Applied Mixed Models in Medicine, 2nd edition (H. Brown and R. Prescott) Matthew J. Gurka Stochastic Modeling for Systems Biology (D. J. Wilkinson) Olaf Wolkenhauer Knowledge Discovery in Proteomics (I. Jurisica and D. Wigle) Zhen Zhang Computational Genome Analysis: An Introduction (R. C. Deonier, S. Tavaré, and M. S. Waterman) Marc Suling Stochastic Orders (M. Shaked and J. G. Shantikumar) Subhash Kochar Brief Reports by the Editor Measurement Error in Nonlinear Models: A Modern Perspective, 2nd edition (R. J. Carroll, D. Ruppert, L. A. Stefansky, and C. M. Crainiceanu) Basic Statistics and Pharmaceutical Statistical Applications, 2nd edition (J. E. De Muth) A Handbook of Statistical Analyses Using Stata, 4th edition (S. Rabe‐Hesketh and B. S. Everitt) Introduction to Randomized Controlled Clinical Trials, 2nd edition (J. N. S. Matthews) Survival and Event History Analysis (P. K. Andersen and N. Keiding, editors) A Pocket Guide to Epidemiology (D. G. Kleinbaum, K. M. Sullivan, and N. D. Barker)     

Applied Spatial Data Analysis with R. by BIVAND, R. S., PEBESMA, E. J., and GOMEZ-RUBIO, V.

Applied Spatial Data Analysis with R (R. S. Bivand, E. J. Pebesma, and V. Gomez‐Rubio) Jay M. Ver Hoef Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology (A. B. Lawson) J. Law Disease Surveillance: A Public Health Informatics Approach (J. S. Lombardo and D. L. Buckeridge, editors) Iris Pigeot Survival Analysis for Epidemiologic and Medical Research (S. Selvin) M. G. Valsecchi Survival and Event History Analysis: A Process Point of View (O. O. Aalen, O. Borgan, and H. K. Gjessing) Patricia Grambsch Nonlinear Dimensionality Reduction (J. A. Lee and M. Verleysen) Haonan Wang Model Selection and Model Averaging (G. Claeskens and N. L. Hjort) Thomas M. Loughin Meta‐Analysis of Binary Data Using Profile Likelihood (D. Böhning, R. Kuhnert, and S. Rattanasiri) Eloise Kaizar Wavelet Methods in Statistics with R (G. P. Nason) Jeffrey S. Morris Adaptive Design Theory and Implementation Using SAS and R (M. Chang) Feifang Hu Ecological Models and Data in R (B. M. Bolker) Rachel M. Fewster Applied Multiway Data Analysis (P. M. Kroonenberg) Renato Coppi Brief Reports by the Editor Sampling of Populations: Methods and Applications, 4th edition (P. S. Levy and S. Lemeshow) Applied Survival Analysis: Regression Modeling of Time‐to‐Event Data, 2nd edition (D. W. Hosmer, S. Lemeshow, and S. May) SAS for Data Analysis: Intermediate Statistical Methods (M. G. Marasinghe and W. J. Kennedy) Advances in Mathematical and Statistical Modeling (B. C. Arnold, N. Balakrishnan, J. M. Sarabia, and R. Mínguez, editors) An Introduction to Generalized Linear Models, 3rd edition (A. J. Dobson and A. G. Barnett) Design and Analysis of Bioavailability and Bioequivalence Studies, 3rd edition (S.‐C. Chow and J.‐P. Liu)     

Multivariable Model-building: A Pragmatic Approach to Regression Analysis Based on Fractional Polynomials for Modelling Continuous Variables by ROYSTON, P. and SAUERBREI, W.

Multivariable Model‐building: A Pragmatic Approach to Regression Analysis Based on Fractional Polynomials for Modelling Continuous Variables (P. Royston and W. Sauerbrei) David W. Hosmer Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (A. J. Izenman) Debashis Ghosh A Primer on Linear Models (J. F. Monahan) Muni S. Srivastava Mixed Effects Models and Extensions in Ecology with R (A. F. Zuur, E. N. Ieno, N. J. Walker, A. A. Saveliev, and G. M. Smith) Carl James Schwarz Random Effect and Latent Variable Model Selection (D. B. Dunson, Editor) Kenneth Rice Missing Data in Clinical Studies (G. Molenberghs and M. G. Kenward) Suzanne R. Dubnicka Functional and Operatorial Statistics (S. Dabo‐Niang and F. Ferraty, Editors) Jason D. Nielsen Statistical Analysis and Modelling of Spatial Point Patterns (J. Illian, A. Penttinen, H. Stoyan, and D. Stoyan) Jesper Møller Solved Problem in Geostatistics (O. Leuangthong, K. D. Khan, and C. V. Deutsch) Ole F. Christensen Statistical Methods for Environmental Epidemiology with R : A Case Study in Air Pollution and Health (R. D. Peng and F. Dominici) David Buckeridge Correspondence Analysis in Practice, Second Edition (M. Greenacre) Willem Heiser Introduction to Statistical Mediation Analysis (D. P. MacKinnon) Tyler J. VanderWeele Brief Reports by the Editor The EM Algorithm and Extensions, 2nd edition (G. J. McLachlan and T. Krishnan) Probability Models for DNA Sequence Evolution, 2nd edition (R. Durrett) Bayesian Methods for Data Analysis, 3rd edition (B. P. Carlin and T. A. Louis) Nonlinear Regression with R (C. Ritz and J. C. Streibig) Cancer Mortality and Morbidity Patterns in the U.S. Population: An Interdisciplinary Approach (K. G. Manton, I. Akushevich, and J. Kravchenko)     

Book Reviews

Books reviewed in this article:
LELE, S. R. and RICHTSMEIER, J. T. An Invariant Approach to the Statistical Analysis of Shapes.
HEYDE, C. C. and SENETA, E. (editors). Statisticians of the Centuries.
LAWSON, A. B. Statistical Methods in Spatial Epidemiology.
EVERITT, B. S. and PICKLES, A. Statistical Aspects of the Design and Analysis of Clinical Trials.
KERR, S. R. and DICKIE, L. M. The Biomass Spectrum: A Predator-Prey Theory of Aquatic Production.
DER, G. and EVERITT, B. S. A Handbook of Statistical Analyses Using SAS, 2nd Edition.
HAND, D., MANNILA, H. and SMYTH, P. Principles of Data Mining.
INDRAYAN, A. and SARMUKADDAM, S. B. Medical Biostatistics.
EWENS, W. J. GRANT, G. R. Statistical Methods in Bioinformatics: An Introduction.
HARRELL, F. E. Regression Modeling Strategies with Applications to Linear Models, Logistic Regression and Survival Analysis.
CONGDON, P. Bayesian Statistical Modelling.
CAMAZINE, S., DENEUBOURG, J.-L., FRANKS, N. R., SNEYD, J., THERAULAZ, G. and BONABEAU, E. Self-Organization in Biological Systems.     

Handbook of Spatial Statistics edited by GELFAND,A. E., DIGGLE,P. J., FUENTES,M. and GUTTORP,P.

Handbook of Spatial Statistics (A. E. Gelfand, P. J. Diggle, M. Fuentes, and P. Guttorp, Editors) Daniel Commenges Computational Statistics (J. E. Gentle) Thomas Lumley Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation (M. T. Tan, G.‐L. Tian, and K. W. Ng) Alessandra Mattei A First Course in Bayesian Statistical Methods (P. D. Hoff) Dalene Stangl Environmental and Ecological Statistics with R (S. S. Qian) Andrew Finley A Modern Approach to Regression with R (S. J. Sheather) Mervyn G. Marasinghe Exercises and Solutions in Biostatistical Theory (L. L. Kupper, B. H. Neelon, and S. M. O’Brien) Scott S. Emerson ggplot2 : Elegant Graphics for Data Analysis (H. Wickham) Leland Wilkinson     

Design of Comparative Experiments (Cambridge Series in Statistical and Probabilistic Mathematics) by BAILEY,R. A.

Design of Comparative Experiments (Cambridge Series in Statistical and Probabilistic Mathematics) (R. A. Bailey) Carla L. Goad Cluster Randomised Trials (R. J. Hayes and L. H. Moulton) Michael J. Campbell Bayesian Evaluation of Informative Hypotheses (H. Hoijtink, I. Klugkist, and P. A. Boelen, Editors) Bo Cai Bayesian Methods for Measures of Agreement (L. Broemeling) Cody Hamilton Statistical Learning from a Regression Perspective (R. A. Berk) Yutaka Yasui and Xiaoming Wang Statistical Detection and Surveillance of Geographic Clusters (P. Rogerson and I. Yamada) Maria Dolores Ugarte Global Sensitivity Analysis. The Primer (A. Saltelli, M. Ratto, T. Andres, F. Campolongo, J. Cariboni, D. Gatelli, M. Saisana, and S. Tarantola) Bryan E. Shepherd Semi‐Markov Chains and Hidden Semi‐Markov Models toward Applications: Their Use in Reliability and DNA Analysis (V. S. Barbu and N. Limnios) Yann Guédon Brief Reports by the Editor Handbook of Statistical Analyses Using SAS , 3rd edition (G. Der and B. S. Everitt) Software for Data Analysis: Programming with R (J. M. Chambers) R for SAS and SPSS Users (R. A. Muenchen) Recent Advances in Linear Models and Related Areas: Essays in Honour of Helge Toutenburg (Shalabh and C. Heumann) Medical Statistics from A to Z, 2nd edition (B. Everitt)     

Introduction to General and Generalized Linear Models by MADSEN,H. and TYREGOD,P.

Introduction to General and Generalized Linear Models (H. Madsen and P. Tyregod) Clarice Demétrio Sample Sizes for Clinical Trials (S. A. Julious) Janet Wittes Learning and Inference in Computational Systems Biology. (N. D. Lawrence, M. Girolami, M. Rattray and G. Sanguinetti) Ernst Wit Brief Reports by the Editor Applied Probability, 2nd edition. (K. Lange) Regression Estimators: A Comparative Study, 2nd edition. (M. H. J. Gruber) Common Statistical Methods for Clinical Research with SAS Examples, 3rd edition. (G. A. Walker and J. Shostak)     

Semiparametric Theory and Missing Data by TSIATIS, A. A.

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)     

The Statistical Analysis of Recurrent Events by COOK, R. J. and LAWLESS, J. F.

The Statistical Analysis of Recurrent Events (R. J. Cook and J. F. Lawless) Chiung‐Yu Huang and Xianghua Luo Introduction to Empirical Processes and Semiparametric Inference (M. R. Kosorok) Changyong Feng Uncertain Judgements: Eliciting Experts' Probabilities (A. O'Hagan, C. E. Buck, A. Daneshkhah, J. R. Eiser, P. H. Garthwaite, D. J. Jenkinson, J. E. Oakley, and T. Rakow) James M. Dickey Models for Intensive Longitudinal Data (T. A. Walls and J. L. Schafer, editors) Daniel Farewell Quantitative Environmental Risk Analysis for Human Health (R. A. Fjeld, N. A. Eisenberg, and K. L. Compton) Scott M. Bartell Reliable Reasoning: Induction and Statistical Learning Theory (G. Harman and S. Kulkarni) Oliver Schulte Modeling Infectious Diseases in Humans and Animals (M. J. Keeling and P. Rohani) Carol Y. Lin Cluster and Classification Techniques for the Biosciences (A. H. Fielding) Morven Leese Modern Applied U‐Statistics (J. Kowalski and X. M. Tu) Jesse Frey Handbook of Statistical Genetics, 3rd edition (D. J. Balding, M. Bishop, and C. Cannings, editors) Karin Bammann, Ronja Foraita, Frauke Günther Quality of Life: The Assessment, Analysis, and Interpretation of Patient‐Reported Outcomes, 2nd edition (P. M. Fayers and D. Machin) Jeff A. Sloan, Amylou Dueck, Rui Qin, Wenting Wu, Pamela J. Atherton, Paul Novotny, Heshan Liu, Kelli N. Burger, Angelina D. Tan, Daniel Szydlo, Victor M. Johnson, Sara J. Felten, Xinghua Zhao, and Brent Diekmann Advanced Distance Sampling: Estimating Abundance of Biological Populations (S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake, C. L. Borchers, and L. Thomas) Carl James Schwarz Brief Reports by the Editor The Construction of Optimal Stated Choice Experiments: Theory and Methods (D. J. Street and L. Burgess) Design and Analysis of Experiments, Volume 1: Introduction to Experimental Design, 2nd edition (K. Hinkelmann and O. Kempthorne) Introduction to Bayesian Statistics, 2nd edition (W. M. Bolstad) Asymptotic Theory of Statistics and Probability (A. Dasgupta) Bootstrap Methods: A Guide for Practitioners and Researchers, 2nd edition (M. R. Chernick)     

Book Reviews

Visualizing Statistical Models and Concepts (R. W. Farebrother) C. B. Borkowf Statistical Consulting (J. Cabrera and A. McDougall) A. Cowling Data Monitoring Committees in Clinical Trials: A Practical Perspective (S. S. Ellenberg, T. R. Fleming, and D. L. DeMets) B. Freidlin Combined Survey Sampling Inference: Weighing Basu's Elephants (K. Brewer) Y. G. Berger Visualising Categorical Data (M. Friendly) R. J. Marshall Estimating Animal Abundance: Closed Populations (D. L. Borchers, S. T. Buckland, and W. Zucchini) A. Chao Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics (D. Sorensen and D. Gianola) J. Whittaker Block Designs: A Randomization Approach, Volumes I and II (T. Caliński and S. Kageyama) G. M. Clarke Computational Statistics Handbook with Matlab (W. L. Martinez and A. R. Martinez) P. K. Dunn Spatial Cluster Modelling (A. B. Lawson and D. G. T. Denison, eds.) D. Allard Elements of Computational Statistics (J. E. Gentle) D. M. Smith Brief Reports by the Editor A First Course in Linear Model Theory (N. Ravishanker and D. K. Dey) Statistical Inference, 2nd edition (P. H. Garthwaite, I. T. Jolliffe, and B. Jones) Statistical Analysis of Designed Experiments, 2nd edition (H. Toutenburg) Logistic Regression: A Self‐Learning Text, 2nd edition (D. G. Kleinbaum and M. Klein) American Series in Mathematical and Management Sciences, Volume 47. USA‐II, Forum for Interdisciplinary Mathematics Proceedings on Statistics, Combinatorics, and Related Areas, Volume II of Proceedings of the University of South Alabama (U.S.A.) Conference (Mobile, Alabama, U.S.A., December 1999) (S. N. Mishra, ed.)     

A Primer of Ecology with R by STEVENS,M. H. H.

A Primer of Ecology with R (M. H. H. Stevens) Péter Sólymos Handbook on Analyzing Human Genetic Data: Computational Approaches and Software (S. Lin and H. Zhao, Editors) Peter M. Visscher From Finite Sample to Asymptotic Methods in Statistics (P. K. Sen, J. M. Singer, and A. C. Pedroso de Lima) Miodrag Lovric Dynamic Linear Models with R (G. Petris, S. Petrone, and P. Campagnoli) Helio S. Migon Functional Data Analysis with R and Matlab (J. O. Ramsay, G. Hooker, and S. Graves) Hervé Cardot Continuous Bivariate Distributions, 2nd edition (N. Balakrishnan and C.‐D. Lai) Márcia D'Elia Branco Brief Reports by the Editor The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd edition. (T. Hastie, R. Tibshirani, and J. Friedman) Gene Expression Studies Using Affymetrix Microarrays (H. Göhlmann and W. Talloen)     

Design and Analysis of Vaccine Studies by HALLORAN,M. E., LONGINI JR., I. M., and STRUCHINER,C. J.

Design and Analysis of Vaccine Studies (M. E. Halloran, I. M. Longini Jr. and C. J. Struchiner) Neal Alexander A SAS/IML Companion for Linear Models (J. J. Perrett) James E. Gentle Introducing Monte Carlo Methods with R (C. P. Robert and G. Casella) Brian D. Ripley Introductory Time Series with R (P. S. P. Cowpertwait and A. V. Metcalfe)
W. K. Li Linear Model Methodology (A. I. Khuri) Ronald R. Hocking     

Book Reviews

McCONWAY, K. J., JONES, M. C., and TAYLOR, P. C. Statistical Modelling using Genstat. SCHINAZI, R. B. Classical and Spatial Point Processes. PERRY, J. E., SMITH, R. H., WOIWOD, I. P., and MORSE, D. R. (editors). Chaos in Real Data: The Analysis of Non‐linear Dynamics from Short Ecological Time Series. BURTON, R. F. Physiology by Numbers, 2nd edition. BERLINER, L. M., NYCHKA, D., and HOAR, T. (editors). Studies in the Atmospheric Sciences. PRAKASA RAO, B. L. S. Statistical Inference for Diffusion Type Processes. DONNER, A. and KLAR, N. Design and Analysis of Cluster Randomization Trials in Health Research. MATIS, J. H. and KIFFE, T. R. Stochastic Population Models: A Compartmental Perspective. LINDSEY, J. K. Models for Repeated Measurements, 2nd edition. FORD, E. D. Scientific Method for Ecological Research. BURNHAM, K. P. and ANDERSON, D. R. Model Selection and Inference: A Practical Information‐Theoretic Approach. COX, D. R. and REID, N. The Theory of the Design of Experiments. PINHEIRO, J. C. and BATES, D. M. Mixed‐effects models in S and S‐PLUS. VENABLES, W. N. and RIPLEY, B. D. S Programming. KRAUSE, A. and OLSON, M. The Basics of S and S‐PLUS. CHEN, M.‐H., SHAO, Q.‐M., and IBRAHIM, J. G. Monte Carlo Methods in Bayesian Computation. SAHAI, H. and AGEEL, M. L. The Analysis of Variance: Fixed, Random, and Mixed Models. EVERITT, B. S. and DUNN, G. Statistical Analysis of Medical Data: New Developments. MUKHOPADHYAY, N. Probability and Statistical Inference. KNIGHT, K. Mathematical Statistics. Brief reports by the editor MILLER, R. E. Optimization: Foundations and Applications. BLAND, M. An Introduction to Medical Statistics, 3rd edition. RABE‐HESKETH, S. and EVERITT, B. A Handbook of Statistical Analyses using Stata, 2nd edition. KOO, J. O. (editor). American Series in Mathematical and Management Sciences Volume 42. Modern Mathematical, Management, and Statistical Sciences, The Index to the 20th Century, Prologue to the 21st Century. MISHRA, S. N. and SHARMA, B. D. (editors). American Series in Mathematical and Management Sciences Volume 43. FIM‐I, Forum for Interdisciplinary Mathematics Proceedings on Statistical Inference, Combinatorics and Related Areas, Volume I of Proceedings of Banaras Hindu University (BHU) Conference (Varanasi, India, December 1997). VENABLES, W. N. and RIPLEY, B. D. Modern Applied Statistics with S‐PLUS, 3rd edition.     

Book Reviews

Books reviewed in this article:
BERNARDO, J. M., BERGER, J. O., DAWID, A. P., and SMITH, A. F. M. (editors). Bayesian Statistics 6.
VAN DER VAART, A. W. Asymptotic Statistics.
NOLAN, D. and SPEED, T. StatLabs: Mathematical Statistics Through Applications.
BINNS, M. R., NYROP, J. P., and VAN DER WERF, W. Sampling and Monitoring in Crop Protection: The Theoretical Basis for Developing Practical Decision Guides.
DIECKMANN, U., LAW, R., and METZ, J. A. J. (editors). The Geometry of Ecological Interactions: Simplifying Spatial Complexity.
LAWSON, A., BIGGERI, A., BOHNING, D., LESAFFRE, E., VIEL, 3.-F., and BERTOLLINI, R. Disease Mapping and Risk Assessment for Public Health.
BLAND, M. and PEACOCK, J. Statistical Questions in Evidence Based Medicine. Oxford University Press, Oxford, 2000.
MANLY, B. F. J. Statistics for Environmental Science and Management.
RÍOS INSUA, D. and RUGGERI, F. (editors) Robust Bayesian Analysis.
BARNDORFF-NIELSEN, 0. E., COX, D. R., and KLUP-PELBERG, C. Complex Stochastic Systems.
PETRIE, A. and SABIN, C. Medical Statistics at a Glance.
THERNEAU, T. M. and GRAMBSCH, P. M. Modeling Survival Data: Extending the Cox Model.
TAN, W.-Y. Stochastic Modeling of AIDS Epidemiology and HIV Pathogenesis.
CHATFIELD, C. Time-Series Forecasting.
MATTHEWS, J. N. S. An Introduction to Randomized Controlled Clinical Trials.
CLARK, I. and HARPER, W. V. Practical Geostatistics 2000.
TANIGUCHI, M. and KAKIZAWA, Y. Asymptotic Theory of Statistical Inference for Time Series.
KARIAN, Z. A. and DUDEWICZ, E. J. Fitting Statistical Distributions: The Generalized Lambda Distribution and Generalized Bootstrap Methods.     

Statistics in Human Genetics and Molecular Biology by REILLY,C.

Statistics in Human Genetics and Molecular Biology (C. Reilly) Xiang‐Yang Lou and David B. Allison Meta‐Analysis and Combining Information in Genetics and Genomics (R. Guerra and D. R. Goldstein) Peter H. Westfall Multivariate Nonparametric Methods with R. An Approach Based on Spatial Signs and Ranks (H. Oja) Mia Hubert Bayesian Analysis for Population Ecology (R. King, B. J. T. Morgan, O. Gimenez, and S. Brooks) Simon Bonner The Oxford Handbook of Functional Data Analysis (F. Ferraty and Y. Romain, Editors) Paul H. C. Eilers Design and Analysis of Experiments with SAS (J. Lawson) Francis Giesbrecht Spatial Statistics and Modeling (C. Gaetan and X. Guyon) Paulo J. Ribeiro Jr. Applied Statistical Genetics with R: For Population‐Based Association Studies (A. S. Foulkes) Kui Zhang     

Book Reviews

Books reviewed in this article:
COLES, S. An Introduction to Statistical Modeling of Extreme Values.
DOWNES, B. J., BARMUTA, L. A., FAIRWEATHER, P.G., FAITH, D. P., KEOUGH, M. J., LAKE, P. S., MAPSTONE, B. D. and QUINN, G. P. Monitoring Ecological Impacts: Concepts and Practice in Flowing Waters.
BRUNNER, E., DOMHOF, S. and LANGER, F. Nonparametric Analysis of Longitudinal Data in Factorial Experiments.
LANGE, K. Mathematical and Statistical Methods for Genetic Analysis, 3rd edition.
MILLIKEN, G. A. and JOHNSON, D. E. Analysis of Messy Data, Volume III: Analysis of Covariance.
SMITH, P. J. Analysis of Failure and Survival Data.
JONES, P. W. and SMITH, P. Stochastic Processes: An Introduction.
PERCUS, J. K. Mathematics of Genome Analysis.
ROSENBAUM, P. Observational Studies, 2nd edition.
THODE, H. C., Jr. Testing for Normality.
GLAZ, J., NAUS, J. and WALLENSTEIN, S. Scan Statistics.
TOWNEND, J. Practical Statistics for Environmental and Biological Scientists.
REDDY, M. V. Statistics for Mental Health Care Research.     

Book reviews

Books reviewed in this article:
GORDON, A. D. Classification, 2nd edition.
LEHMANN, E. L. Elements of Large-Sample Theory.
VON STORCH, H. and ZWIERS, W. Statistical Analysis in Climate Research.
CHOW, S. -C. and LIU, J.-P. Design and Analysis of Bioavailability and Bioequivalence Studies, 2nd edition.
FEDEREI, W. T. Statistical Design and Analysis for Intercropping Experiments Vol. 11: Three or More Crops.
LUTZ, M. and KENAKIN, T. Quantitative Molecular Pharmacology and Informatics in Drug Discovery.
OTT, J. Analysis of Human Genetic Linkage, Third Edition.
RASCH, D., VERDOOREN, L. R., and GOWERS, J. I. Fundamentals in the Design and Analysis of Experiments and Surveys-Grundlagen der Planung und Auswertung von Versuchen und Erhebungen.
RIFFENBURGH, R. H. Statistics in Medicine.
FISHER, R. A. The Genetical Theory of Natural Selection: A Complete Variorum Edition
GOOD, P. I. Resampling Methods: A Practical Guide to Data Analysis.
RONDEL, R. K., VARLEY, S. A. and WEBB, C. V., eds. Clinical Data Management, 2nd edition.
LEFKOVITS, I. and WALDMANN, H. Limiting Dilution Analysis of Cells in the Immune System, 2nd edition.     

Book Reviews

OWEN, A. B. Empirical Likelihood. GORE, A. and PARANJPE, S. A Course in Mathematical and Statistical Ecology. PAWITAN, Y. In All Likelihood: Statistical Modelling and Inference Using Likelihood. GASTWIRTH, J. L. (editor). Statistical Science in the Courtroom. MUKHOPADHYAY, P. Topics in Survey Sampling. RASHIDI, H. H. and BUEHLER, L. K. Bioinformatics Basics: Applications in Biological Science and Medicine. MUELLER, L. D. and JOSHI, A. Stability in Model Populations. DUFFY, S. W., HILL, C. and ESTEVE, J. (editors). Quantitative Methods for the Evaluation of Cancer Screening. FERNHOLZ, L. T., MORGENTHALER, S. and STAHEL, W. Statistics in Genetics and in the Environmental Sciences. RAYNER, J. C. W. and BEST, D. J. A Contingency Table Approach to Nonparametric Testing. GOLYANDINA, N., NEKRUTKIN, V. and ZHIGLJAVSKY, A. Analysis of Time Series Structure: SSA and Related Techniques. MARI, D. D. and KOTZ, S. Correlation and Dependence. SALSBURG, D. The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century. W. FAHRMEIR, L. and TUTZ, G. Multivariate Statistical Modelling Based on Generalized Linear Models, 2nd edition. WILCOX, R. R. Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy. DAVID, H. A. and EDWARDS, A. W. F. Annotated Readings in the History of Statistics. ELLIOTT, P., WAKEFIELD, J. C., BEST, N. G. and BRIGGS, D. J. (editors). Spatial Epidemiology: Methods and Applications. Brief reports by the editor BARNDORFF‐NIELSEN, O. E., MIKOSCH, T. and RESNICK, S. I. (editors) LéAvy Processes: Theory and Applications. MACARTHUR, R. H. and WILSON, E. O. The Theory of Island Biogeography. ROGERS, L. Sexing the Brain.     

Frailty Models in Survival Analysis by WIENKE,A.

Frailty Models in Survival Analysis (A. Wienke) David Oakes Logistic Regression Models (J. M. Hilbe) Annette J. Dobson Design of Experiments: An Introduction Based on Linear Models (M. D. Morris) Gary W. Oehlert Models and Judgment for Valid Comparisons (H. I. Weisberg, Bias and Causation,) Judea Pearl