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Journal of the American Statistical Association
2001 - 2011
Continued by Journal of the American Statistical Association. Current editor(s): Leonard A. Stefanski From American Statistical Association Bibliographic data for series maintained by Christopher F. Baum (). Access Statistics for this journal.
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2004, volume 99
- Does the Statistics Profession Have an Identity Crisis? pp. 1-6

- Robert L. Mason
- Randomization Inference With Imperfect Compliance in the ACE-Inhibitor After Anthracycline Randomized Trial pp. 7-15

- Robert Greevy, Jeffrey H. Silber, Avital Cnaan and Paul R. Rosenbaum
- Causal Models for Randomized Physician Encouragement Trials in Treating Primary Care Depression pp. 16-25

- Thomas R. Ten Have, Michael R. Elliott, Marshall Joffe, Elaine Zanutto and Catherine Datto
- Dose-Finding Based on Multiple Toxicities in a Soft Tissue Sarcoma Trial pp. 26-35

- B. Nebiyou Bekele and Peter F. Thall
- Bayesian Survival Analysis With Nonproportional Hazards: Metanalysis of Combination PravastatinAspirin pp. 36-44

- Scott M. Berry, Donald A. Berry, Kannan Natarajan, Chen-Sheng Lin, Charles H. Hennekens and Rene Belder
- Analysis of Contaminant Co-Occurrence in Community Water Systems pp. 45-56

- J.R. Lockwood, Mark J. Schervish, Patrick L. Gurian and Mitchell J. Small
- Estimating the Interest Rate Term Structure of Corporate Debt With a Semiparametric Penalized Spline Model pp. 57-66

- Robert Jarrow, David Ruppert and Yan Yu
- Multicategory Support Vector Machines: Theory and Application to the Classification of Microarray Data and Satellite Radiance Data pp. 67-81

- Yoonkyung Lee, Yi Lin and Grace Wahba
- Subsampling Methods to Estimate the Variance of Sample Means Based on Nonstationary Spatial Data With Varying Expected Values pp. 82-95

- Magnus Ekstrom and Sara Sjostedt-De Luna
- Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis pp. 96-104

- Bradley Efron
- Semiparametric Failure Time Regression With Replicates of Mismeasured Covariates pp. 105-118

- Chengcheng Hu and D.Y. Lin
- Kernel Estimators for Univariate Binary Regression pp. 119-126

- D.F. Signorini and M.C. Jones
- A Two-Stage Regression Model for Epidemiological Studies With Multivariate Disease Classification Data pp. 127-138

- Nilanjan Chatterjee
- Likelihood-Based Local Linear Estimation of the Conditional Variance Function pp. 139-144

- K. Yu and M.C. Jones
- Testing Independence for Bivariate Current Status Data pp. 145-155

- A. Adam Ding and Weijing Wang
- Monte Carlo Smoothing for Nonlinear Time Series pp. 156-168

- Simon J. Godsill, Arnaud Doucet and Mike West
- Testing for Differences Between Conditional Means in a Time Series Context pp. 169-174

- Eva Ferreira and W. Stute
- Computational Methods for Multiplicative Intensity Models Using Weighted Gamma Processes: Proportional Hazards, Marked Point Processes, and Panel Count Data pp. 175-190

- Hemant Ishwaran and Lancelot F. James
- On the Statistical Analysis of Smoothing by Maximizing Dirty Markov Random Field Posterior Distributions pp. 191-204

- Sylvain Sardy and Paul Tseng
- An ANOVA Model for Dependent Random Measures pp. 205-215

- Maria De Iorio, Peter Muller, Gary L. Rosner and Steven N. MacEachern
- The IOS Test for Model Misspecification pp. 216-227

- Brett Presnell and Dennis D. Boos
- Geometric Ergodicity of van Dyk and Meng's Algorithm for the Multivariate Student's t Model pp. 228-238

- Dobrin Marchev and James P. Hobert
- Methodology for Evaluating a Partially Controlled Longitudinal Treatment Using Principal Stratification, With Application to a Needle Exchange Program pp. 239-249

- Constantine E. Frangakis, Ronald S. Brookmeyer, Ravi Varadhan, Mahboobeh Safaeian, David Vlahov and Steffanie A. Strathdee
- Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics pp. 250-261

- Hao Zhang
- Spatially Balanced Sampling of Natural Resources pp. 262-278

- Don L. Stevens and Anthony R. Olsen
- Methods and Criteria for Model Selection pp. 279-290

- Joseph B. Kadane and Nicole A. Lazar
- Configural Frequency Analysis: Methods, Models, and Applications. Alexander Von Eye pp. 292-293

- Joachim Krauth
- Visualizing Statistical Models and Concepts. R. W. Farebrother pp. 292-292

- Brian J. Williams
- Testing Statistical Hypotheses of Equivalence. Stefan Wellek pp. 293-293

- Axel Munk
- Small Area Estimation. J. N. K. Rao pp. 294-295

- Gauri Sankar Datta
- Stochastic Approximation and Its Applications. Han-Fu Chen pp. 295-296

- George Yin
- Optimal Design of Blocked and Split-Plot Experiments. Peter Goos pp. 296-297

- Timothy J. Robinson
- Parametric and Nonparametric Inference From Record-Breaking Data. Sneh Gulati and William J. Padgett pp. 297-297

- R. Scott Linder
- Generalized Estimating Equations. James W. Hardin and Joseph M. Hilbe pp. 297-298

- James D. Williams
- Statistical Models and Methods for Lifetime Data (2nd ed.). Jerald F. Lawless pp. 298-299

- E. Boone
- Variable Selection in Data Mining: Building a Predictive Model for Bankruptcy pp. 303-313

- Foster D.P. and Stine R.A.
- Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data pp. 314-324

- Hogan J.W. and Rusty Tchernis
- A Classical Study of Catch-Effort Models for Hectors Dolphins pp. 325-333

- King R. and Brooks S.P.
- Semiparametric Regression Analysis With Missing Response at Random pp. 334-345

- Wang Q., Oliver Linton and Wolfgang Härdle
- Sieve Maximum Likelihood Estimator for Semiparametric Regression Models With Current Status Data pp. 346-356

- Xue H., Lam K.F. and Li G.
- Estimation in Partially Linear Models With Missing Covariates pp. 357-367

- Liang H., Wang S., Robins J.M. and Carroll R.J.
- Heteroscedastic One-Way ANOVA and Lack-of-Fit Tests pp. 368-382

- Akritas M.G. and Papadatos N.
- Cholesky Residuals for Assessing Normal Errors in a Linear Model With Correlated Outcomes pp. 383-394

- Houseman E.A., Ryan L.M. and Coull B.A.
- Multiple Comparison of Several Linear Regression Models pp. 395-403

- Liu W., Jamshidian M. and Zhang Y.
- On Priors With a Kullback-Leibler Property pp. 404-408

- Walker S., Damien P. and Lenk P.
- A Bayesian Insertion/Deletion Algorithm for Distant Protein Motif Searching via Entropy Filtering pp. 409-420

- Xie J., Li K-C. and Bina M.
- Propriety of the Posterior Distribution and Existence of the MLE for Regression Models With Covariates Missing at Random pp. 421-438

- Chen M-H., Ibrahim J.G. and Shao Q-M.
- Inferential Aspects of the Skew Exponential Power Distribution pp. 439-450

- DiCiccio T.J. and Monti A.C.
- Robust Analysis of Generalized Linear Mixed Models pp. 451-460

- Sinha S.K.
- Universal Optimality for Selected Crossover Designs pp. 461-466

- Hedayat A.S. and Yang M.
- Modified Large-Sample Confidence Intervals for Linear Combinations of Variance Components: Extension, Theory, and Application pp. 467-478

- Lee Y., Shao J. and Chow S-C.
- A Semiparametric Basis for Combining Estimation Problems Under Quadratic Loss pp. 479-487

- George Judge and Ron Mittelhammer
- Testing Homogeneity in a Mixture Distribution via the L2 Distance Between Competing Models pp. 488-498

- Charnigo R. and Sun J.
- A Conditionally Distribution-Free Multivariate Sign Test for One-Sided Alternatives pp. 499-509

- Larocque D. and Labarre M.
- Equivalence Between Conditional and Mixture Approaches to the Rasch Model and Matched Case-Control Studies, With Applications pp. 510-522

- Rice K.M.
- Monte Carlo State-Space Likelihoods by Weighted Posterior Kernel Density Estimation pp. 523-536

- P. de Valpine
- Parameterization and Bayesian Modeling pp. 537-545

- Gelman A.
- To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling pp. 546-556

- Roderick Little
- Block Designs: a Randomization Approach. Vol. I: Analysis. Block Designs: a Randomization Approach. Vol. II: Design. Tadeusz Calinski and Sanpei Kageyama pp. 558-560

- Bailey R.A.
- Estimating Animal Abundance: Closed Populations. David Borchers, Stephen T. Buckland, and Walter Zucchini pp. 558-558

- Fewster R.M.
- Probability Models for DNA Sequence Evolution. Rick Durrett pp. 560-561

- Rosenberg N.A.
- Current Topics in Computational Molecular Biology. Tao Jiang, Ying Xu, and Michael Q. Zhang (eds.) pp. 560-560

- Gentleman R.
- Nonparametric Goodness-of-Fit Testing Under Gaussian Models. Yu I. Ingster and Irina A. Suslina pp. 561-562

- Pouet C.
- Nonlinear Estimation and Classification. David D. Denison, Mark H. Hansen, Christopher C. Holmes, Bani Mallick, and Bin Yu (eds.) pp. 561-561

- Yong Yang
- Applied Probability. Kenneth Lange pp. 562-562

- Terrell G.R.
- An Elementary Introduction to Mathematical Finance: Options and Other Topics. Sheldon M. Ross pp. 563-563

- Korn R.
- Risk Analysis in Engineering and Economics. Bilal M. Ayyub pp. 563-564

- Lockwood J.R.
- Modeling Financial Time Series With S-PLUS. Eric Zivot and Jiahui Wang pp. 564-565

- McNeil A.J.
- Applied Computational Economics and Finance. Mario J. Miranda and Paul L. Fackler pp. 565-566

- Philipp Schönbucher
- Computational Statistics Handbook With MATLAB. Wendy Martinez and Angel R. Martinez pp. 566-566

- Wikle C.K.
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Trevor Hastie, Robert Tibshirani, and Jerome Friedman pp. 567-567

- Ruppert D.
- Statistical Process Adjustment Methods for Quality Control. Enrique del Castillo pp. 567-568

- Nembhard H.B.
- A Primer on Statistical Distributions. N. Balakrishnan and V. B. Nevzorov pp. 568-568

- Anderson-Cook C.M.
- Statistical Tables, Explained and Applied. Louis Laurencelle and Francois-A. Dupuis pp. 568-569

- Pillers Dobler C.
- The Cognitive Style of PowerPoint. Edward R. Tufte pp. 569-569

- Lenth R.V.
- Calibrated Probabilistic Mesoscale Weather Field Forecasting: The Geostatistical Output Perturbation Method pp. 575-583

- Yulia Gel, Adrian E. Raftery and Tilmann Gneiting
- Comment pp. 583-586

- Claudia Tebaldi and Doug Nychka
- Comment pp. 586-587

- William Briggs
- Comment pp. 587-588

- Mark S. Roulston
- Rejoinder pp. 588-590

- Yulia Gel, Adrian E. Raftery, Tilmann Gneiting and Veronica J. Berrocal
- Relative Risk Forests for Exercise Heart Rate Recovery as a Predictor of Mortality pp. 591-600

- Hemant Ishwaran, Eugene H. Blackstone, Claire E. Pothier and Michael S. Lauer
- Hierarchical Bayesian Neural Networks: An Application to a Prostate Cancer Study pp. 601-608

- Malay Ghosh, Tapabrata Maiti, Dalho Kim, Sounak Chakraborty and Ashutosh Tewari
- Full Matching in an Observational Study of Coaching for the SAT pp. 609-618

- Ben B. Hansen
- The Estimation of Prediction Error: Covariance Penalties and Cross-Validation pp. 619-632

- Bradley Efron
- Comment pp. 632-633

- Prabir Burman
- Comment pp. 633-634

- L. Denby, J.M. Landwehr and C.L. Mallows
- Comment pp. 634-637

- Xiaotong Shen, Hsin-Cheng Huang and Jianming Ye
- Comment pp. 637-640

- Chunming Zhang
- Rejoinder pp. 640-642

- Bradley Efron
- Smooth Design-Adapted Wavelets for Nonparametric Stochastic Regression pp. 643-658

- V. Delouille, J. Simoens and R. von Sachs
- Variable Selection and Model Building via Likelihood Basis Pursuit pp. 659-672

- Hao Helen Zhang, Grace Wahba, Yi Lin, Meta Voelker, Michael Ferris, Ronald Klein and Barbara Klein
- Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models pp. 673-686

- Simon N. Wood
- Functional Convex Averaging and Synchronization for Time-Warped Random Curves pp. 687-699

- Xueli Liu and Hans-Georg Muller
- Exact and Approximate Inferences for Nonlinear Mixed-Effects Models With Missing Covariates pp. 700-709

- Lang Wu
- New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis pp. 710-723

- Jianqing Fan and Runze Li
- Survival Analysis With Heterogeneous Covariate Measurement Error pp. 724-735

- Yi Li and Louise Ryan
- Nonlinear and Nonparametric Regression and Instrumental Variables pp. 736-750

- Raymond J. Carroll, David Ruppert, Ciprian M. Crainiceanu, Tor D. Tosteson and Margaret R. Karagas
- Inference After Model Selection pp. 751-762

- Xiaotong Shen, Hsin-Cheng Huang and Jimmy Ye
- Discrimination and Classification of Nonstationary Time Series Using the SLEX Model pp. 763-774

- Hsiao-Yun Huang, Hernando Ombao and David S. Stoffer
- Unit Root Quantile Autoregression Inference pp. 775-787

- Roger Koenker and Zhijie Xiao
- Optimal Bayesian Design by Inhomogeneous Markov Chain Simulation pp. 788-798

- Peter Muller, Bruno Sanso and Maria De Iorio
- Getting It Right: Joint Distribution Tests of Posterior Simulators pp. 799-804

- John Geweke
- The Invariance of Some Score Tests in the Linear Model With Classical Measurement Error pp. 805-809

- Chi-Lun Cheng and Chih-Ling Tsai
- A Nonparametric Test for Spatial Isotropy Using Subsampling pp. 810-821

- Yongtao Guan, Michael Sherman and James A. Calvin
- The Impact of Dichotomization on the Efficiency of Testing for an Interaction Effect in Exponential Family Models pp. 822-831

- Vern T. Farewell, Brian D.M. Tom and Patrick Royston
- Improving the Efficiency of Relative-Risk Estimation in Case-Cohort Studies pp. 832-844

- Michal Kulich and D.Y. Lin
- Unbiased Estimating Equations From Working Correlation Models for Irregularly Timed Repeated Measures pp. 845-853

- You-Gan Wang and Vincent J. Carey
- Causal Inference With General Treatment Regimes: Generalizing the Propensity Score pp. 854-866

- Kosuke Imai and David A. van Dyk
- Membership Functions and Probability Measures of Fuzzy Sets pp. 867-877

- Nozer D. Singpurwalla and Jane M. Booker
- Comment pp. 877-879

- D.V. Lindley
- Comment pp. 879-880

- Michael Laviolette
- Comment pp. 880-881

- Lotfi A. Zadeh
- Comment pp. 882-884

- A.P. Dempster
- Rejoinder pp. 884-889

- Nozer D. Singpurwalla and Jane M. Booker
- The Price of Kaplan-Meier pp. 890-896

- Paul Meier, Theodore Karrison, Rick Chappell and Hui Xie
- Bayesian Nonparametrics. J. K. Ghosh and R. V. Ramamoorthi pp. 898-899

- Ilenia Epifani
- Components of Variance. D. R. Cox and P. J. Solomon pp. 899-899

- Stephen D. Kachman
- Statistical Tools for Environmental Quality Measurement. Michael E. Ginevan and Douglas E. Splitstone pp. 900-901

- Penelope S. Pooler
- Data Analysis and Graphics Using R: An Example-Based Approach. John Maindonald and John Braun pp. 901-902

- Christine M. Anderson-Cook
- 2D Object Detection and Recognition: Models, Algorithms, and Networks. Yali Amit pp. 902-903

- Havard Rue
- Advanced Calculus with Applications in Statistics (2nd ed.). Andre I. Khuri pp. 903-904

- Kenneth S. Berenhaut
- Handbook of Statistics 22: Statistics in Industry. R. Khattree and C. R. Rao (eds.) pp. 904-904

- Christine M. Anderson-Cook
- A Model-Based Background Adjustment for Oligonucleotide Expression Arrays pp. 909-917

- Zhijin Wu, Rafael A. Irizarry, Robert Gentleman, Francisco Martinez-Murillo and Forrest Spencer
- Structural Mean Effects of Noncompliance: Estimating Interaction With Baseline Prognosis and Selection Effects pp. 918-928

- Krista Fischer and Els Goetghebeur
- A Random Pattern-Mixture Model for Longitudinal Data With Dropouts pp. 929-937

- Wensheng Guo, Sarah J. Ratcliffe and Thomas Ten T. Have
- Improved Semiparametric Time Series Models of Air Pollution and Mortality pp. 938-948

- Francesca Dominici, Aidan M.C. Dermott and Trevor J. Hastie
- Location-Scale Depth pp. 949-966

- Ivan Mizera and Christine H. Muller
- Comment pp. 966-969

- Mia Hubert, Peter Rousseeuw and Karlien Vanden Branden
- Comment pp. 970-973

- Robert Serfling
- Comment pp. 973-976

- Xuming He and Stephen Portnoy
- Comment pp. 976-979

- David Eppstein
- Comment pp. 980-981

- Peter McCullagh
- Rejoinder pp. 981-989

- Ivan Mizera and Christine H. Muller
- Optimal Sample Size for Multiple Testing: The Case of Gene Expression Microarrays pp. 990-1001

- Peter Muller, Giovanni Parmigiani, Christian Robert and Judith Rousseau
- False Discovery Control for Random Fields pp. 1002-1014

- M. Perone Pacifico, C. Genovese, I. Verdinelli and L. Wasserman
- Cross-Validation and the Estimation of Conditional Probability Densities pp. 1015-1026

- Peter Hall, Jeffrey Racine and Qi Li
- On a Likelihood Approach for Monte Carlo Integration pp. 1027-1036

- Zhiqiang Tan
- Fully Exponential Laplace Approximations Using Asymptotic Modes pp. 1037-1049

- Yoichi Miyata
- Bayesian Estimation of the Spectral Density of a Time Series pp. 1050-1059

- Nidhan Choudhuri, Subhashis Ghosal and Anindya Roy
- Models and Confidence Intervals for True Values in Interlaboratory Trials pp. 1060-1071

- Hari K. Iyer, C.M. Jack Wang and T Mathew
- Smooth and Accurate Multivariate Confidence Regions pp. 1072-1081

- Bo Yang and John E. Kolassa
- Testing for Trend in the Presence of Autoregressive Error pp. 1082-1091

- Anindya Roy, Barry Falk and Wayne A. Fuller
- Local Global Neural Networks: A New Approach for Nonlinear Time Series Modeling pp. 1092-1107

- Mayte Suarez -Farinas, Carlos Pedreira and Marcelo Medeiros
- Predicting the Conditional Probability of Discovering a New Class pp. 1108-1118

- Chang Xuan Mao
- Predicting Random Effects From Finite Population Clustered Samples With Response Error pp. 1119-1130

- Edward J. Stanek and Julio M. Singer
- Combining Independent Regression Estimators From Multiple Surveys pp. 1131-1139

- Takis Merkouris
- Analysis of Time-to-Event Data With Incomplete Event Adjudication pp. 1140-1152

- Thomas D. Cook and Michael R. Kosorok
- Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data pp. 1153-1165

- Chiung-Yu Huang and Mei-Cheng Wang
- Smoothing Spline Nonlinear Nonparametric Regression Models pp. 1166-1175

- Chunlei Ke and Yuedong Wang
- Nonparametric and Semiparametric Models for Missing Covariates in Parametric Regression pp. 1176-1189

- Hua Yun Chen
- Optimal Experimental Designs When Some Independent Variables Are Not Subject to Control pp. 1190-1199

- Jesus Lopez-Fidalgo and Sandra A. Garcet-Rodriguez
- Bayesian Reasoning in Data Analysis: A Critical Introduction. Giulio DAgostini pp. 1201-1202

- George Woodworth
- Bayesian Survival Analysis. Joseph G. Ibrahim, Ming-hui Chen, and Debajyoti Sinha pp. 1202-1203

- Jun Yan
- The Design and Analysis of Computer Experiments. Thomas J. Santner, Brian J. Williams, and William I. Notz pp. 1203-1204

- Max D. Morris
- Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control. James C. Spall pp. 1204-1205

- Jesse Frey
- Statistical Methods for Six Sigma in R&d and Manufacturing. Anand M. Joglekar pp. 1205-1206

- Christine M. Anderson-Cook
- 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 pp. 1206-1207

- Russell V. Lenth
- Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide. Jos W. R. Twisk pp. 1207-1208

- X. Joan Hu
- Health Science Research: A Handbook of Quantitative Methods. Jennifer Peat pp. 1208-1208

- Jane C. Lindsey
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On this page- 2004, volume 99
-
Articles
Other years2011, volume 106
2010, volume 105
2009, volume 104
2008, volume 103
2007, volume 102
2006, volume 101
2005, volume 100
2003, volume 98
2002, volume 97
2001, volume 96
|
On this page- 2004, volume 99
-
Articles
Other years2011, volume 106
2010, volume 105
2009, volume 104
2008, volume 103
2007, volume 102
2006, volume 101
2005, volume 100
2003, volume 98
2002, volume 97
2001, volume 96
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