# American Statistical Association

# Journal of the American Statistical Association

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### 2004, Volume 99

**7-15 Randomization Inference With Imperfect Compliance in the ACE-Inhibitor After Anthracycline Randomized Trial***by*Greevy, Robert & Silber, Jeffrey H. & Cnaan, Avital & Rosenbaum, Paul R.**16-25 Causal Models for Randomized Physician Encouragement Trials in Treating Primary Care Depression***by*Ten Have, Thomas R. & Elliott, Michael R. & Joffe, Marshall & Zanutto, Elaine & Datto, Catherine**26-35 Dose-Finding Based on Multiple Toxicities in a Soft Tissue Sarcoma Trial***by*Bekele, B. Nebiyou & Thall, Peter F.**36-44 Bayesian Survival Analysis With Nonproportional Hazards: Metanalysis of Combination PravastatinAspirin***by*Berry, Scott M. & Berry, Donald A. & Natarajan, Kannan & Lin, Chen-Sheng & Hennekens, Charles H. & Belder, Rene**45-56 Analysis of Contaminant Co-Occurrence in Community Water Systems***by*Lockwood, J.R. & Schervish, Mark J. & Gurian, Patrick L. & Small, Mitchell J.**57-66 Estimating the Interest Rate Term Structure of Corporate Debt With a Semiparametric Penalized Spline Model***by*Jarrow, Robert & Ruppert, David & Yu, Yan**67-81 Multicategory Support Vector Machines: Theory and Application to the Classification of Microarray Data and Satellite Radiance Data***by*Lee, Yoonkyung & Lin, Yi & Wahba, Grace**82-95 Subsampling Methods to Estimate the Variance of Sample Means Based on Nonstationary Spatial Data With Varying Expected Values***by*Ekstrom, Magnus & Luna, Sara Sjostedt-De**96-104 Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis***by*Efron, Bradley**105-118 Semiparametric Failure Time Regression With Replicates of Mismeasured Covariates***by*Hu, Chengcheng & Lin, D.Y.**119-126 Kernel Estimators for Univariate Binary Regression***by*Signorini, D.F. & Jones, M.C.**127-138 A Two-Stage Regression Model for Epidemiological Studies With Multivariate Disease Classification Data***by*Chatterjee, Nilanjan**139-144 Likelihood-Based Local Linear Estimation of the Conditional Variance Function***by*Yu, K. & Jones, M.C.**145-155 Testing Independence for Bivariate Current Status Data***by*Ding, A. Adam & Wang, Weijing**156-168 Monte Carlo Smoothing for Nonlinear Time Series***by*Godsill, Simon J. & Doucet, Arnaud & West, Mike**169-174 Testing for Differences Between Conditional Means in a Time Series Context***by*Ferreira, E. & Stute, W.**175-190 Computational Methods for Multiplicative Intensity Models Using Weighted Gamma Processes: Proportional Hazards, Marked Point Processes, and Panel Count Data***by*Ishwaran, Hemant & James, Lancelot F.**191-204 On the Statistical Analysis of Smoothing by Maximizing Dirty Markov Random Field Posterior Distributions***by*Sardy, Sylvain & Tseng, Paul**205-215 An ANOVA Model for Dependent Random Measures***by*De Iorio, Maria & Muller, Peter & Rosner, Gary L. & MacEachern, Steven N.**216-227 The IOS Test for Model Misspecification***by*Presnell, Brett & Boos, Dennis D.**228-238 Geometric Ergodicity of van Dyk and Meng's Algorithm for the Multivariate Student's t Model***by*Marchev, Dobrin & Hobert, James P.**239-249 Methodology for Evaluating a Partially Controlled Longitudinal Treatment Using Principal Stratification, With Application to a Needle Exchange Program***by*Frangakis, Constantine E. & Brookmeyer, Ronald S. & Varadhan, Ravi & Safaeian, Mahboobeh & Vlahov, David & Strathdee, Steffanie A.**250-261 Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics***by*Zhang, Hao**262-278 Spatially Balanced Sampling of Natural Resources***by*Stevens, Don L. & Olsen, Anthony R.**279-290 Methods and Criteria for Model Selection***by*Kadane, Joseph B. & Lazar, Nicole A.**292-293 Configural Frequency Analysis: Methods, Models, and Applications. Alexander Von Eye***by*Krauth, Joachim**293-293 Testing Statistical Hypotheses of Equivalence. Stefan Wellek***by*Munk, Axel**294-295 Small Area Estimation. J. N. K. Rao***by*Datta, Gauri Sankar**295-296 Stochastic Approximation and Its Applications. Han-Fu Chen***by*Yin, George**296-297 Optimal Design of Blocked and Split-Plot Experiments. Peter Goos***by*Robinson, Timothy J.**297-297 Parametric and Nonparametric Inference From Record-Breaking Data. Sneh Gulati and William J. Padgett***by*Linder, R. Scott**298-299 Statistical Models and Methods for Lifetime Data (2nd ed.). Jerald F. Lawless***by*Boone, E.**303-313 Variable Selection in Data Mining: Building a Predictive Model for Bankruptcy***by*Foster D.P. & Stine R.A.**314-324 Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data***by*Hogan J.W. & Tchernis R.**325-333 A Classical Study of Catch-Effort Models for Hectors Dolphins***by*King R. & Brooks S.P.**334-345 Semiparametric Regression Analysis With Missing Response at Random***by*Wang Q. & Linton O. & Hardle W.**346-356 Sieve Maximum Likelihood Estimator for Semiparametric Regression Models With Current Status Data***by*Xue H. & Lam K.F. & Li G.**357-367 Estimation in Partially Linear Models With Missing Covariates***by*Liang H. & Wang S. & Robins J.M. & Carroll R.J.**368-382 Heteroscedastic One-Way ANOVA and Lack-of-Fit Tests***by*Akritas M.G. & Papadatos N.**383-394 Cholesky Residuals for Assessing Normal Errors in a Linear Model With Correlated Outcomes***by*Houseman E.A. & Ryan L.M. & Coull B.A.**395-403 Multiple Comparison of Several Linear Regression Models***by*Liu W. & Jamshidian M. & Zhang Y.**404-408 On Priors With a Kullback-Leibler Property***by*Walker S. & Damien P. & Lenk P.**409-420 A Bayesian Insertion/Deletion Algorithm for Distant Protein Motif Searching via Entropy Filtering***by*Xie J. & Li K-C. & Bina M.**421-438 Propriety of the Posterior Distribution and Existence of the MLE for Regression Models With Covariates Missing at Random***by*Chen M-H. & Ibrahim J.G. & Shao Q-M.**439-450 Inferential Aspects of the Skew Exponential Power Distribution***by*DiCiccio T.J. & Monti A.C.**451-460 Robust Analysis of Generalized Linear Mixed Models***by*Sinha S.K.**461-466 Universal Optimality for Selected Crossover Designs***by*Hedayat A.S. & Yang M.**467-478 Modified Large-Sample Confidence Intervals for Linear Combinations of Variance Components: Extension, Theory, and Application***by*Lee Y. & Shao J. & Chow S-C.**479-487 A Semiparametric Basis for Combining Estimation Problems Under Quadratic Loss***by*Judge G.G. & Mittelhammer R.C.**488-498 Testing Homogeneity in a Mixture Distribution via the L2 Distance Between Competing Models***by*Charnigo R. & Sun J.**499-509 A Conditionally Distribution-Free Multivariate Sign Test for One-Sided Alternatives***by*Larocque D. & Labarre M.**510-522 Equivalence Between Conditional and Mixture Approaches to the Rasch Model and Matched Case-Control Studies, With Applications***by*Rice K.M.**523-536 Monte Carlo State-Space Likelihoods by Weighted Posterior Kernel Density Estimation***by*de Valpine P.**537-545 Parameterization and Bayesian Modeling***by*Gelman A.**546-556 To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling***by*Little R.J.**558-560 Block Designs: a Randomization Approach. Vol. I: Analysis. Block Designs: a Randomization Approach. Vol. II: Design. Tadeusz Calinski and Sanpei Kageyama***by*Bailey R.A.**560-561 Probability Models for DNA Sequence Evolution. Rick Durrett***by*Rosenberg N.A.**561-562 Nonparametric Goodness-of-Fit Testing Under Gaussian Models. Yu I. Ingster and Irina A. Suslina***by*Pouet C.**562-562 Applied Probability. Kenneth Lange***by*Terrell G.R.**563-563 An Elementary Introduction to Mathematical Finance: Options and Other Topics. Sheldon M. Ross***by*Korn R.**564-565 Modeling Financial Time Series With S-PLUS. Eric Zivot and Jiahui Wang***by*McNeil A.J.**565-566 Applied Computational Economics and Finance. Mario J. Miranda and Paul L. Fackler***by*Schonbucher P.**566-566 Computational Statistics Handbook With MATLAB. Wendy Martinez and Angel R. Martinez***by*Wikle C.K.**567-567 The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Trevor Hastie, Robert Tibshirani, and Jerome Friedman***by*Ruppert D.**568-568 A Primer on Statistical Distributions. N. Balakrishnan and V. B. Nevzorov***by*Anderson-Cook C.M.**569-569 The Cognitive Style of PowerPoint. Edward R. Tufte***by*Lenth R.V.**575-583 Calibrated Probabilistic Mesoscale Weather Field Forecasting: The Geostatistical Output Perturbation Method***by*Yulia Gel & Adrian E. Raftery & Tilmann Gneiting**583-586 Comment***by*Claudia Tebaldi & Doug Nychka**586-587 Comment***by*William Briggs**587-588 Comment***by*Mark S. Roulston**588-590 Rejoinder***by*Yulia Gel & Adrian E. Raftery & Tilmann Gneiting & Veronica J. Berrocal**591-600 Relative Risk Forests for Exercise Heart Rate Recovery as a Predictor of Mortality***by*Hemant Ishwaran & Eugene H. Blackstone & Claire E. Pothier & Michael S. Lauer**601-608 Hierarchical Bayesian Neural Networks: An Application to a Prostate Cancer Study***by*Malay Ghosh & Tapabrata Maiti & Dalho Kim & Sounak Chakraborty & Ashutosh Tewari**609-618 Full Matching in an Observational Study of Coaching for the SAT***by*Ben B. Hansen**619-632 The Estimation of Prediction Error: Covariance Penalties and Cross-Validation***by*Bradley Efron**632-633 Comment***by*Prabir Burman**633-634 Comment***by*L. Denby & J.M. Landwehr & C.L. Mallows**634-637 Comment***by*Xiaotong Shen & Hsin-Cheng Huang & Jianming Ye**637-640 Comment***by*Chunming Zhang**640-642 Rejoinder***by*Bradley Efron**643-658 Smooth Design-Adapted Wavelets for Nonparametric Stochastic Regression***by*V. Delouille & J. Simoens & R. von Sachs**659-672 Variable Selection and Model Building via Likelihood Basis Pursuit***by*Hao Helen Zhang & Grace Wahba & Yi Lin & Meta Voelker & Michael Ferris & Ronald Klein & Barbara Klein**673-686 Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models***by*Simon N. Wood**687-699 Functional Convex Averaging and Synchronization for Time-Warped Random Curves***by*Xueli Liu & Hans-Georg Muller**700-709 Exact and Approximate Inferences for Nonlinear Mixed-Effects Models With Missing Covariates***by*Lang Wu**710-723 New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis***by*Jianqing Fan & Runze Li**724-735 Survival Analysis With Heterogeneous Covariate Measurement Error***by*Yi Li & Louise Ryan**736-750 Nonlinear and Nonparametric Regression and Instrumental Variables***by*Raymond J. Carroll & David Ruppert & Ciprian M. Crainiceanu & Tor D. Tosteson & Margaret R. Karagas**751-762 Inference After Model Selection***by*Xiaotong Shen & Hsin-Cheng Huang & Jimmy Ye**763-774 Discrimination and Classification of Nonstationary Time Series Using the SLEX Model***by*Hsiao-Yun Huang & Hernando Ombao & David S. Stoffer**775-787 Unit Root Quantile Autoregression Inference***by*Roger Koenker & Zhijie Xiao**788-798 Optimal Bayesian Design by Inhomogeneous Markov Chain Simulation***by*Peter Muller & Bruno Sanso & Maria De Iorio**799-804 Getting It Right: Joint Distribution Tests of Posterior Simulators***by*John Geweke**805-809 The Invariance of Some Score Tests in the Linear Model With Classical Measurement Error***by*Chi-Lun Cheng & Chih-Ling Tsai**810-821 A Nonparametric Test for Spatial Isotropy Using Subsampling***by*Yongtao Guan & Michael Sherman & James A. Calvin**822-831 The Impact of Dichotomization on the Efficiency of Testing for an Interaction Effect in Exponential Family Models***by*Vern T. Farewell & Brian D.M. Tom & Patrick Royston**832-844 Improving the Efficiency of Relative-Risk Estimation in Case-Cohort Studies***by*Michal Kulich & D.Y. Lin**845-853 Unbiased Estimating Equations From Working Correlation Models for Irregularly Timed Repeated Measures***by*You-Gan Wang & Vincent J. Carey**854-866 Causal Inference With General Treatment Regimes: Generalizing the Propensity Score***by*Kosuke Imai & David A. van Dyk**867-877 Membership Functions and Probability Measures of Fuzzy Sets***by*Nozer D. Singpurwalla & Jane M. Booker**877-879 Comment***by*D.V. Lindley**879-880 Comment***by*Michael Laviolette**880-881 Comment***by*Lotfi A. Zadeh**882-884 Comment***by*A.P. Dempster**884-889 Rejoinder***by*Nozer D. Singpurwalla & Jane M. Booker**890-896 The Price of Kaplan-Meier***by*Paul Meier & Theodore Karrison & Rick Chappell & Hui Xie**898-899 Bayesian Nonparametrics. J. K. Ghosh and R. V. Ramamoorthi***by*Ilenia Epifani**899-899 Components of Variance. D. R. Cox and P. J. Solomon***by*Stephen D. Kachman**900-901 Statistical Tools for Environmental Quality Measurement. Michael E. Ginevan and Douglas E. Splitstone***by*Penelope S. Pooler**901-902 Data Analysis and Graphics Using R: An Example-Based Approach. John Maindonald and John Braun***by*Christine M. Anderson-Cook**902-903 2D Object Detection and Recognition: Models, Algorithms, and Networks. Yali Amit***by*Havard Rue**903-904 Advanced Calculus with Applications in Statistics (2nd ed.). Andre I. Khuri***by*Kenneth S. Berenhaut**904-904 Handbook of Statistics 22: Statistics in Industry. R. Khattree and C. R. Rao (eds.)***by*Christine M. Anderson-Cook**909-917 A Model-Based Background Adjustment for Oligonucleotide Expression Arrays***by*Zhijin Wu & Rafael A. Irizarry & Robert Gentleman & Francisco Martinez-Murillo & Forrest Spencer**918-928 Structural Mean Effects of Noncompliance: Estimating Interaction With Baseline Prognosis and Selection Effects***by*Krista Fischer & Els Goetghebeur**929-937 A Random Pattern-Mixture Model for Longitudinal Data With Dropouts***by*Wensheng Guo & Sarah J. Ratcliffe & Thomas Ten T. Have**938-948 Improved Semiparametric Time Series Models of Air Pollution and Mortality***by*Francesca Dominici & Aidan M.C. Dermott & Trevor J. Hastie**949-966 Location-Scale Depth***by*Ivan Mizera & Christine H. Muller**966-969 Comment***by*Mia Hubert & Peter J. Rousseeuw & Karlien Vanden Branden**970-973 Comment***by*Robert Serfling**973-976 Comment***by*Xuming He & Stephen Portnoy**976-979 Comment***by*David Eppstein**980-981 Comment***by*Peter McCullagh**981-989 Rejoinder***by*Ivan Mizera & Christine H. Muller**990-1001 Optimal Sample Size for Multiple Testing: The Case of Gene Expression Microarrays***by*Peter Muller & Giovanni Parmigiani & Christian Robert & Judith Rousseau**1002-1014 False Discovery Control for Random Fields***by*M. Perone Pacifico & C. Genovese & I. Verdinelli & L. Wasserman**1015-1026 Cross-Validation and the Estimation of Conditional Probability Densities***by*Peter Hall & Jeff Racine & Qi Li**1027-1036 On a Likelihood Approach for Monte Carlo Integration***by*Zhiqiang Tan**1037-1049 Fully Exponential Laplace Approximations Using Asymptotic Modes***by*Yoichi Miyata**1050-1059 Bayesian Estimation of the Spectral Density of a Time Series***by*Nidhan Choudhuri & Subhashis Ghosal & Anindya Roy**1060-1071 Models and Confidence Intervals for True Values in Interlaboratory Trials***by*Hari K. Iyer & C.M. Jack Wang & Thomas Mathew**1072-1081 Smooth and Accurate Multivariate Confidence Regions***by*Bo Yang & John E. Kolassa**1082-1091 Testing for Trend in the Presence of Autoregressive Error***by*Anindya Roy & Barry Falk & Wayne A. Fuller**1092-1107 Local Global Neural Networks: A New Approach for Nonlinear Time Series Modeling***by*Mayte Suarez -Farinas & Carlos E. Pedreira & Marcelo C. Medeiros**1108-1118 Predicting the Conditional Probability of Discovering a New Class***by*Chang Xuan Mao**1119-1130 Predicting Random Effects From Finite Population Clustered Samples With Response Error***by*Edward J. Stanek & Julio M. Singer**1131-1139 Combining Independent Regression Estimators From Multiple Surveys***by*Takis Merkouris**1140-1152 Analysis of Time-to-Event Data With Incomplete Event Adjudication***by*Thomas D. Cook & Michael R. Kosorok**1153-1165 Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data***by*Chiung-Yu Huang & Mei-Cheng Wang**1166-1175 Smoothing Spline Nonlinear Nonparametric Regression Models***by*Chunlei Ke & Yuedong Wang**1176-1189 Nonparametric and Semiparametric Models for Missing Covariates in Parametric Regression***by*Hua Yun Chen**1190-1199 Optimal Experimental Designs When Some Independent Variables Are Not Subject to Control***by*Jesus Lopez-Fidalgo & Sandra A. Garcet-Rodriguez**1201-1202 Bayesian Reasoning in Data Analysis: A Critical Introduction. Giulio DAgostini***by*George Woodworth**1202-1203 Bayesian Survival Analysis. Joseph G. Ibrahim, Ming-hui Chen, and Debajyoti Sinha***by*Jun Yan**1203-1204 The Design and Analysis of Computer Experiments. Thomas J. Santner , Brian J. Williams , and William I. Notz***by*Max D. Morris**1204-1205 Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control. James C. Spall***by*Jesse Frey**1205-1206 Statistical Methods for Six Sigma in R&d and Manufacturing. Anand M. Joglekar***by*Christine M. Anderson-Cook**1206-1207 Power Analysis for Experimental Research: A Practical Guide For The Biological, Medical and Social Sciences. R. Barker Bausell and Yu-fang Li & Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests (2nd Ed.). Kevin R. Murphy and Brett Myors***by*Russell V. Lenth**1207-1208 Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide. Jos W. R. Twisk***by*X. Joan Hu**1208-1208 Health Science Research: A Handbook of Quantitative Methods. Jennifer Peat***by*Jane C. Lindsey**568-569 Statistical Tables, Explained and Applied. Louis Laurencelle and Francois-A. Dupuis***by*Pillers Dobler C.**567-568 Statistical Process Adjustment Methods for Quality Control. Enrique del Castillo***by*Nembhard H.B.**563-564 Risk Analysis in Engineering and Economics. Bilal M. Ayyub***by*Lockwood J.R.**561-561 Nonlinear Estimation and Classification. David D. Denison, Mark H. Hansen, Christopher C. Holmes, Bani Mallick, and Bin Yu (eds.)***by*Yang Y.**560-560 Current Topics in Computational Molecular Biology. Tao Jiang, Ying Xu, and Michael Q. Zhang (eds.)***by*Gentleman R.**558-558 Estimating Animal Abundance: Closed Populations. David Borchers, Stephen T. Buckland, and Walter Zucchini***by*Fewster R.M.**297-298 Generalized Estimating Equations. James W. Hardin and Joseph M. Hilbe***by*Williams, James D.**292-292 Visualizing Statistical Models and Concepts. R. W. Farebrother***by*Williams, Brian J.

### 2003, Volume 98

**1-6 Statistics: The Next Generation***by*Straf M.L.**7-16 Selection of Related Multivariate Means: Monitoring Psychiatric Care in the Department of Veterans Affairs***by*Landrum M.B. & Normand S-L.T. & Rosenheck R.A.**17-27 The Selection or Seeding of College Basketball or Football Teams for Postseason Competition***by*Harville D.A.**28-37 Bayesian Modeling of Markers of Day-Specific Fertility***by*Dunson D.B. & Colombo B.**38-46 Estimating Vaccine Efficacy From Secondary Attack Rates***by*Halloran M.E. & Preziosi M.P. & Chu H.**47-54 The Impact of Prior Distributions for Uncontrolled Confounding and Response Bias: A Case Study of the Relation of Wire Codes and Magnetic Fields to Childhood Leukemia***by*Greenland S.**55-66 Discovery of Conserved Sequence Patterns Using a Stochastic Dictionary Model***by*Gupta M. & Liu J.S.**67-76 Robust Indirect Inference***by*Genton M.G. & Ronchetti E.**77-89 Edge Detection, Spatial Smoothing, and Image Reconstruction With Partially Observed Multivariate Data***by*Dass S.C. & Nair V.N.**90-98 Estimates of Regression Coefficients Based on Lift Rank Covariance Matrix***by*Ollila E. & Oja H. & Koivunen V.**99-109 Dimension Reduction for Multivariate Response Data***by*Li K-C. & Aragon Y. & Shedden K. & Thomas Agnan C.**110-117 Alternating Subspace-Spanning Resampling to Accelerate Markov Chain Monte Carlo Simulation***by*Liu C.**118-134 A Reexamination of Diffusion Estimators With Applications to Financial Model Validation***by*Fan J. & Zhang C.**135-146 On Additive Conditional Quantiles With High Dimensional Covariates***by*De Gooijer J.G. & Zerom D.**147-157 Distribution of Rankings for Groups Exhibiting Heteroscedasticity and Correlation***by*Gilbert S.**158-168 A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling***by*Chatterjee N. & Chen Y-H. & Breslow N.E.**169-177 Asymptotic Variance and Convergence Rates of Nearly-Periodic Markov Chain Monte Carlo Algorithms***by*Rosenthal J.S.**178-190 Doubly Smoothed EM Algorithm for Statistical Inverse Problems***by*Szkutnik Z.**191-203 Functional Inference in Frailty Measurement Error Models for Clustered Survival Data Using the SIMEX Approach***by*Li Y. & Lin X.**204-213 On Optimality Properties of the Power Prior***by*Ibrahim J.G. & Chen M-H. & Sinha D.**214-223 Generalized Autoregressive Moving Average Models***by*Benjamin M.A. & Rigby R.A. & Stasinopoulos D.M.**224-235 Marginal Likelihood and Bayes Factors for Dirichlet Process Mixture Models***by*Basu S. & Chib S.**236-246 Outlier Detection and False Discovery Rates for Whole-Genome DNA Matching***by*Tzeng J-Y. & Byerley W. & Devlin B. & Roeder K. & Wasserman L.**248-248 Statistics of the Galaxy Distribution***by*Kendall W.S.**249-249 Concise Handbook of Experimental Methods for the Behavioral and Biological Sciences***by*Anderson-Cook C.M.**250-250 Applied Statistics in the Pharmaceutical Industry With Case Studies Using S-PLUS***by*Eastwood B.J.**251-252 Nonlinear Models in Medical Statistics***by*Gasser T.**252-253 Principles of Data Mining***by*Sanil A.P.**253-254 Graphical Models: Methods for Data Analysis and Mining***by*Carey V.J.**254-255 From Elementary Probability to Stochastic Differential Equations With MAPLE***by*Gander W.**255-256 Time Series Analysis by State-Space Methods***by*Aruoba S.B. & Campbell S.D.**256-257 Bayesian Statistical Modelling***by*Cowles M.K.**257-258 Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis***by*Rao S.J.**258-259 Permutation Methods: A Distance Function Approach***by*Jammalamadaka S.R.**259-259 Statistical Inference: An Integrated Approach***by*Jeske D.R.**263-272 Mixed-Model Functional ANOVA for Studying Human Tactile Perception***by*Spitzner D.J. & Marron J.S. & Essick G.K.**273-281 Cross-Calibration of Stroke Disability Measures: Bayesian Analysis of Longitudinal Ordinal Categorical Data Using Negative Dependence***by*Parmigiani G. & Ashih H.W. & Samsa G.P. & Duncan P.W. & Lai S.M. & Matchar D.B.**282-291 Hierarchical Models for Permutations: Analysis of Auto Racing Results***by*Graves T. & Reese C.S. & Fitzgerald M.**292-298 Recounts From Undervotes: Evidence From the 2000 Presidential Election***by*Hansen B.E.**299-323 Principal Stratification Approach to Broken Randomized Experiments: A Case Study of School Choice Vouchers in New York City***by*Barnard J. & Frangakis C.E. & Hill J.L. & Rubin D.B.**324-339 Boosting With the L2 Loss: Regression and Classification***by*Buhlmann P. & Yu B.**340-351 A Model-Free Test for Reduced Rank in Multivariate Regression***by*Cook R.D. & Setodji C.M.