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Content
March 2014, Volume 109, Issue 505
- 411-423 Multivariate Functional Halfspace Depth
by Gerda Claeskens & Mia Hubert & Leen Slaets & Kaveh Vakili - 424-436 Principal Flows
by Victor M. Panaretos & Tung Pham & Zhigang Yao - 437-447 Bayes Variable Selection in Semiparametric Linear Models
by Suprateek Kundu & David B. Dunson
December 2013, Volume 108, Issue 504
- 1141-1146 The International Year of Statistics: A Celebration and A Call to Action
by Marie Davidian - 1147-1162 Statistical Learning With Time Series Dependence: An Application to Scoring Sleep in Mice
by Blakeley B. McShane & Shane T. Jensen & Allan I. Pack & Abraham J. Wyner - 1162-1163 Comment
by Kerby Shedden - 1164-1164 Comment
by Donglin Zeng & Yuanjia Wang - 1165-1172 Rejoinder
by Blakeley B. McShane & Shane T. Jensen & Allan I. Pack & Abraham J. Wyner - 1173-1188 Optimal Allocation of Gold Standard Testing Under Constrained Availability: Application to Assessment of HIV Treatment Failure
by Tao Liu & Joseph W. Hogan & Lisa Wang & Shangxuan Zhang & Rami Kantor - 1189-1204 Semiparametric Bayesian Estimation for Marginal Parametric Potential Outcome Modeling: Application to Causal Inference
by Takahiro Hoshino - 1205-1215 Frailty Models for Familial Risk With Application to Breast Cancer
by Malka Gorfine* & Li Hsu* & Giovanni Parmigiani - 1216-1229 A Marginal Approach to Reduced-Rank Penalized Spline Smoothing With Application to Multilevel Functional Data
by Huaihou Chen & Yuanjia Wang & Myunghee Cho Paik & H. Alex Choi - 1230-1242 Bayesian Hierarchical Modeling of the HIV Evolutionary Response to Therapy
by Shane T. Jensen & Jared Park & Alexander F. Braunstein & Jon Mcauliffe - 1243-1256 Generalized Jackknife Estimators of Weighted Average Derivatives
by Matias D. Cattaneo & Richard K. Crump & Michael Jansson - 1257-1258 Comment
by Donglin Zeng - 1258-1260 Comment
by Holger Dette - 1260-1262 Comment
by Enno Mammen - 1262-1264 Comment
by Xiaohong Chen - 1265-1268 Rejoinder
by Matias D. Cattaneo & Richard K. Crump & Michael Jansson - 1269-1283 Classification Using Censored Functional Data
by Aurore Delaigle & Peter Hall - 1284-1294 Selecting the Number of Principal Components in Functional Data
by Yehua Li & Naisyin Wang & Raymond J. Carroll - 1295-1307 Sampling for Conditional Inference on Network Data
by Jingfei Zhang & Yuguo Chen - 1308-1323 Ensemble Subsampling for Imbalanced Multivariate Two-Sample Tests
by Lisha Chen & Winston Wei Dou & Zhihua Qiao - 1324-1338 Bayesian Modeling of Temporal Dependence in Large Sparse Contingency Tables
by Tsuyoshi Kunihama & David B. Dunson - 1339-1349 Bayesian Inference for Logistic Models Using Pólya--Gamma Latent Variables
by Nicholas G. Polson & James G. Scott & Jesse Windle - 1350-1365 Two-Stage Importance Sampling With Mixture Proposals
by Wentao Li & Zhiqiang Tan & Rong Chen - 1366-1384 Epistatic Clustering: A Model-Based Approach for Identifying Links Between Clusters
by Jian Zhang - 1385-1401 Multiple Testing in a Two-Stage Adaptive Design With Combination Tests Controlling FDR
by Sanat K. Sarkar & Jingjing Chen & Wenge Guo - 1402-1410 Multivariate Density Estimation by Bayesian Sequential Partitioning
by Luo Lu & Hui Jiang & Wing H. Wong - 1411-1420 On Optimal Designs for Nonlinear Models: A General and Efficient Algorithm
by Min Yang & Stefanie Biedermann & Elina Tang - 1421-1434 Local Linear Regression on Manifolds and Its Geometric Interpretation
by Ming-yen Cheng & Hau-tieng Wu - 1435-1444 Generalized Residuals for General Models for Contingency Tables With Application to Item Response Theory
by Shelby J. Haberman & Sandip Sinharay - 1445-1456 Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes
by Bin Zhu & David B. Dunson - 1457-1468 Case Definition and Design Sensitivity
by Dylan S. Small & Jing Cheng & M. Elizabeth Halloran & Paul R. Rosenbaum - 1469-1479 Hidden Markov Models With Applications in Cell Adhesion Experiments
by Ying Hung & Yijie Wang & Veronika Zarnitsyna & Cheng Zhu & C. F. Jeff Wu - 1480-1492 Discovering Findings That Replicate From a Primary Study of High Dimension to a Follow-Up Study
by Marina Bogomolov & Ruth Heller - 1493-1505 Adaptive Testing of Conditional Association Through Recursive Mixture Modeling
by Li Ma - 1506-1516 A Progressive Block Empirical Likelihood Method for Time Series
by Young Min Kim & Soumendra N. Lahiri & Daniel J. Nordman - 1517-1531 Cure Rate Quantile Regression for Censored Data With a Survival Fraction
by Yuanshan Wu & Guosheng Yin - 1532-1544 Resampling Procedures for Making Inference Under Nested Case--Control Studies
by Tianxi Cai & Yingye Zheng
September 2013, Volume 108, Issue 503
- 755-770 Multinomial Inverse Regression for Text Analysis
by Matt Taddy - 770-771 Comment
by Justin Grimmer - 771-772 Comment
by David M. Blei - 772-774 Rejoinder: Efficiency and Structure in MNIR
by Matt Taddy - 775-788 A Nonparametric Bayesian Model for Local Clustering With Application to Proteomics
by Juhee Lee & Peter Müller & Yitan Zhu & Yuan Ji - 789-800 Sensitivity Analysis of Per-Protocol Time-to-Event Treatment Efficacy in Randomized Clinical Trials
by Peter B. Gilbert & Bryan E. Shepherd & Michael G. Hudgens - 801-819 Integrated Modeling of European Migration
by James Raymer & Arkadiusz Wiśniowski & Jonathan J. Forster & Peter W. F. Smith & Jakub Bijak - 820-831 A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness
by Brian J. Reich & Dipankar Bandyopadhyay & Howard D. Bondell - 832-839 Estimation and Inference Concerning Ordered Means in Analysis of Covariance Models With Interactions
by Jason L. Morrissette & Michael P. Mcdermott - 840-851 Markov-Modulated Nonhomogeneous Poisson Processes for Modeling Detections in Surveys of Marine Mammal Abundance
by Roland Langrock & David L. Borchers & Hans J. Skaug - 852-863 Second-Order Exchangeability Analysis for Multimodel Ensembles
by Jonathan Rougier & Michael Goldstein & Leanna House - 864-875 Spatial Shrinkage Estimation of Diffusion Tensors on Diffusion-Weighted Imaging Data
by Tao Yu & Pengfei Li - 876-891 An Integrative Bayesian Modeling Approach to Imaging Genetics
by Francesco C. Stingo & Michele Guindani & Marina Vannucci & Vince D. Calhoun - 892-901 A Phase I Bayesian Adaptive Design to Simultaneously Optimize Dose and Schedule Assignments Both Between and Within Patients
by Jin Zhang & Thomas M. Braun - 902-913 A Latent Source Model to Detect Multiple Spatial Clusters With Application in a Mobile Sensor Network for Surveillance of Nuclear Materials
by Jerry Q. Cheng & Minge Xie & Rong Chen & Fred Roberts - 914-928 Maximum L q -Likelihood Estimation via the Expectation-Maximization Algorithm: A Robust Estimation of Mixture Models
by Yichen Qin & Carey E. Priebe - 929-941 Nonparametric Mixture of Regression Models
by Mian Huang & Runze Li & Shaoli Wang - 942-956 Validation of Visual Statistical Inference, Applied to Linear Models
by Mahbubul Majumder & Heike Hofmann & Dianne Cook - 957-970 Latent Supervised Learning
by Susan Wei & Michael R. Kosorok - 971-982 Nonparametric Estimation of Conditional Distributions and Rank-Tracking Probabilities With Time-Varying Transformation Models in Longitudinal Studies
by Colin O. Wu & Xin Tian - 983-998 Time-Varying Additive Models for Longitudinal Data
by Xiaoke Zhang & Byeong U. Park & Jane-ling Wang - 999-1008 Partial Factor Modeling: Predictor-Dependent Shrinkage for Linear Regression
by P. Richard Hahn & Carlos M. Carvalho & Sayan Mukherjee - 1009-1020 Parameter Estimation of Partial Differential Equation Models
by Xiaolei Xun & Jiguo Cao & Bani Mallick & Arnab Maity & Raymond J. Carroll - 1021-1030 Wavelet-Variance-Based Estimation for Composite Stochastic Processes
by Stéphane Guerrier & Jan Skaloud & Yannick Stebler & Maria-Pia Victoria-Feser - 1031-1043 Efficiency for Regularization Parameter Selection in Penalized Likelihood Estimation of Misspecified Models
by Cheryl J. Flynn & Clifford M. Hurvich & Jeffrey S. Simonoff - 1044-1061 Asymptotic Equivalence of Regularization Methods in Thresholded Parameter Space
by Yingying Fan & Jinchi Lv - 1062-1074 Estimation of Extreme Conditional Quantiles Through Power Transformation
by Huixia Judy Wang & Deyuan Li - 1075-1089 Estimation of Censored Quantile Regression for Panel Data With Fixed Effects
by Antonio F. Galvao & Carlos Lamarche & Luiz Renato Lima - 1090-1104 Semiparametric Efficient and Robust Estimation of an Unknown Symmetric Population Under Arbitrary Sample Selection Bias
by Yanyuan Ma & Mijeong Kim & Marc G. Genton - 1105-1119 From Depth to Local Depth: A Focus on Centrality
by Davy Paindaveine & Germain Van bever - 1120-1131 Using Secondary Outcomes to Sharpen Inference in Randomized Experiments With Noncompliance
by Fabrizia Mealli & Barbara Pacini - 1138-1139 Correction
by Ryan Martin & Chuanhai Liu
June 2013, Volume 108, Issue 502
- 359-369 In Praise of Simplicity not Mathematistry! Ten Simple Powerful Ideas for the Statistical Scientist
by Roderick J. Little - 370-384 Partially Ordered Mixed Hidden Markov Model for the Disablement Process of Older Adults
by Edward Ip & Qiang Zhang & Jack Rejeski & Tammy Harris & Stephen Kritchevsky - 385-397 A Generalized Fellegi--Sunter Framework for Multiple Record Linkage With Application to Homicide Record Systems
by Mauricio Sadinle & Stephen E. Fienberg - 398-410 Tracking Multiple Targets Using Binary Decisions From Wireless Sensor Networks
by Natallia Katenka & Elizaveta Levina & George Michailidis - 411-428 Spline-Based Emulators for Radiative Shock Experiments With Measurement Error
by Avishek Chakraborty & Bani K. Mallick & Ryan G. Mcclarren & Carolyn C. Kuranz & Derek Bingham & Michael J. Grosskopf & Erica M. Rutter & Hayes F. Stripling & R. Paul Drake - 429-440 A Bayesian Reliability Analysis of Neutron-Induced Errors in High Performance Computing Hardware
by Curtis B. Storlie & Sarah E. Michalak & Heather M. Quinn & Andrew J. Dubois & Steven A. Wender & David H. Dubois - 441-455 Treatment Evaluation With Selective Participation and Ineligibles
by Monica Costa Dias & Hidehiko Ichimura & Gerard J. van den Berg - 456-468 Straight to the Source: Detecting Aggregate Objects in Astronomical Images With Proper Error Control
by David A. Friedenberg & Christopher R. Genovese - 469-482 Mediation and Spillover Effects in Group-Randomized Trials: A Case Study of the 4Rs Educational Intervention
by Tyler J. Vanderweele & Guanglei Hong & Stephanie M. Jones & Joshua L. Brown - 483-493 A Hierarchical Bayesian Approach for Aerosol Retrieval Using MISR Data
by Yueqing Wang & Xin Jiang & Bin Yu & Ming Jiang - 494-503 Bayesian Hierarchical Poisson Regression Models: An Application to a Driving Study With Kinematic Events
by Sungduk Kim & Zhen Chen & Zhiwei Zhang & Bruce G. Simons-Morton & Paul S. Albert - 504-513 Partially Identified Treatment Effects Under Imperfect Compliance: The Case of Domestic Violence
by Zahra Siddique - 514-526 A Study of Mexican Free-Tailed Bat Chirp Syllables: Bayesian Functional Mixed Models for Nonstationary Acoustic Time Series
by Josue G. Martinez & Kirsten M. Bohn & Raymond J. Carroll & Jeffrey S. Morris - 527-539 Effectively Selecting a Target Population for a Future Comparative Study
by Lihui Zhao & Lu Tian & Tianxi Cai & Brian Claggett & L. J. Wei - 540-552 Tensor Regression with Applications in Neuroimaging Data Analysis
by Hua Zhou & Lexin Li & Hongtu Zhu - 553-565 Auxiliary Marker-Assisted Classification in the Absence of Class Identifiers
by Yuanjia Wang & Huaihou Chen & Donglin Zeng & Christine Mauro & Naihua Duan & M. Katherine Shear - 566-576 Unified Analysis of Secondary Traits in Case--Control Association Studies
by Arpita Ghosh & Fred A. Wright & Fei Zou - 577-588 Clustering High-Dimensional Time Series Based on Parallelism
by Ting Zhang - 589-606 Bayesian Subset Modeling for High-Dimensional Generalized Linear Models
by Faming Liang & Qifan Song & Kai Yu - 607-618 Empirical Bayes Confidence Intervals for Selected Parameters in High-Dimensional Data
by J. T. Gene Hwang & Zhigen Zhao - 619-631 Oracally Efficient Two-Step Estimation of Generalized Additive Model
by Rong Liu & Lijian Yang & Wolfgang K. Härdle - 632-643 Robust Variable Selection With Exponential Squared Loss
by Xueqin Wang & Yunlu Jiang & Mian Huang & Heping Zhang - 644-655 Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood
by Howard D. Bondell & Leonard A. Stefanski - 666-675 Nonparametric Identification of Copula Structures
by Bo Li & Marc G. Genton - 676-688 Copula-Based Regression Estimation and Inference
by Hohsuk Noh & Anouar El Ghouch & Taoufik Bouezmarni - 689-700 Simulated Method of Moments Estimation for Copula-Based Multivariate Models
by Dong Hwan Oh & Andrew J. Patton - 701-712 Linear Transformation Model With Parametric Covariate Transformations
by Chunpeng Fan & Jason P. Fine - 713-725 Simultaneous Grouping Pursuit and Feature Selection Over an Undirected Graph
by Yunzhang Zhu & Xiaotong Shen & Wei Pan - 726-740 Heteroscedasticity and Autocorrelation Robust Structural Change Detection
by Zhou Zhou - 741-749 The Poisson Compound Decision Problem Revisited
by Lawrence D. Brown & Eitan Greenshtein & Ya'acov Ritov
March 2013, Volume 108, Issue 501
- 1-6 Building the Big Tent for Statistics
by Robert N. Rodriguez - 7-21 Modeling and Forecasting Daily Electricity Load Curves: A Hybrid Approach
by Haeran Cho & Yannig Goude & Xavier Brossat & Qiwei Yao - 22-33 Circuit Theory and Model-Based Inference for Landscape Connectivity
by Ephraim M. Hanks & Mevin B. Hooten - 34-47 A Bayesian Procedure for File Linking to Analyze End-of-Life Medical Costs
by Roee Gutman & Christopher C. Afendulis & Alan M. Zaslavsky - 48-68 A Nested Dirichlet Process Analysis of Cluster Randomized Trial Data With Application in Geriatric Care Assessment
by Man-Wai Ho & Wanzhu Tu & Pulak Ghosh & Ram C. Tiwari - 69-80 A Bayesian Graphical Model for ChIP-Seq Data on Histone Modifications
by Riten Mitra & Peter Müller & Shoudan Liang & Lu Yue & Yuan Ji - 81-95 Imputation in High-Dimensional Economic Data as Applied to the Agricultural Resource Management Survey
by Michael W. Robbins & Sujit K. Ghosh & Joshua D. Habiger - 96-110 Reconstructing Past Populations With Uncertainty From Fragmentary Data
by Mark C. Wheldon & Adrian E. Raftery & Samuel J. Clark & Patrick Gerland - 111-123 Sea Surface Temperature Modeling using Radial Basis Function Networks With a Dynamically Weighted Particle Filter
by Duchwan Ryu & Faming Liang & Bani K. Mallick - 124-134 Dynamic Bayesian Forecasting of Presidential Elections in the States
by Drew A. Linzer - 135-148 Effect Modification and Design Sensitivity in Observational Studies
by Jesse Y. Hsu & Dylan S. Small & Paul R. Rosenbaum - 149-164 Estimating Latent Processes on a Network From Indirect Measurements
by Edoardo M. Airoldi & Alexander W. Blocker - 165-176 Selection Adjusted Confidence Intervals With More Power to Determine the Sign
by Asaf Weinstein & William Fithian & Yoav Benjamini - 177-186 Nonparametric Identification and Semiparametric Estimation of Classical Measurement Error Models Without Side Information
by S. M. Schennach & Yingyao Hu - 187-201 Classification via Bayesian Nonparametric Learning of Affine Subspaces
by Garritt Page & Abhishek Bhattacharya & David Dunson - 202-216 Extending the State-Space Model to Accommodate Missing Values in Responses and Covariates
by Arlene Naranjo & A. Alexandre Trindade & George Casella - 217-227 A Unified Approach to Semiparametric Transformation Models Under General Biased Sampling Schemes
by Jane Paik Kim & Wenbin Lu & Tony Sit & Zhiliang Ying - 228-236 On a Principal Varying Coefficient Model
by Qian Jiang & Hansheng Wang & Yingcun Xia & Guohua Jiang - 237-246 On Partial Sufficient Dimension Reduction With Applications to Partially Linear Multi-Index Models
by Zhenghui Feng & Xuerong Meggie Wen & Zhou Yu & Lixing Zhu - 247-264 High-Dimensional Sparse Additive Hazards Regression
by Wei Lin & Jinchi Lv - 265-277 Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings
by Tony Cai & Weidong Liu & Yin Xia - 278-287 Distribution-Free Prediction Sets
by Jing Lei & James Robins & Larry Wasserman - 288-300 Learning Sparse Causal Gaussian Networks With Experimental Intervention: Regularization and Coordinate Descent
by Fei Fu & Qing Zhou - 301-313 Inferential Models: A Framework for Prior-Free Posterior Probabilistic Inference
by Ryan Martin & Chuanhai Liu - 314-324 Misspecification Testing in a Class of Conditional Distributional Models
by Christoph Rothe & Dominik Wied - 325-339 A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data
by Faming Liang & Yichen Cheng & Qifan Song & Jincheol Park & Ping Yang - 340-352 On Sampling Strategies in Bayesian Variable Selection Problems With Large Model Spaces
by G. García-donato & M. A. Martínez-beneito
December 2012, Volume 107, Issue 500
- 1259-1271 A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures
by William Astle & Maria De Iorio & Sylvia Richardson & David Stephens & Timothy Ebbels - 1272-1285 A Nonparametric Regression Model With Tree-Structured Response
by Yuan Wang & J. S. Marron & Burcu Aydin & Alim Ladha & Elizabeth Bullitt & Haonan Wang - 1286-1296 Direct Simultaneous Inference in Additive Models and Its Application to Model Undernutrition
by Manuel Wiesenfarth & Tatyana Krivobokova & Stephan Klasen & Stefan Sperlich - 1297-1309 Functional Causal Mediation Analysis With an Application to Brain Connectivity
by Martin A. Lindquist - 1310-1323 Measurement Error Case Series Models With Application to Infection-Cardiovascular Risk in Older Patients on Dialysis
by Sandra M. Mohammed & Damla Şentürk & Lorien S. Dalrymple & Danh V. Nguyen - 1324-1338 Nonparametric Estimation for Censored Mixture Data With Application to the Cooperative Huntington’s Observational Research Trial
by Yuanjia Wang & Tanya P. Garcia & Yanyuan Ma - 1339-1359 A Stochastic Model for Calibrating the Survival Benefit of Screen-Detected Cancers
by Hsiu-Hsi Chen & Amy Ming-Fang Yen & Laszlo Tabár - 1360-1371 Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure After Surgery
by José R. Zubizarreta - 1372-1384 Modeling Protein Expression and Protein Signaling Pathways
by Donatello Telesca & Peter Müller & Steven M. Kornblau & Marc A. Suchard & Yuan Ji - 1385-1394 Estimating Identification Disclosure Risk Using Mixed Membership Models
by Daniel Manrique-Vallier & Jerome P. Reiter - 1395-1409 Minkowski--Weyl Priors for Models With Parameter Constraints: An Analysis of the BioCycle Study
by Michelle R. Danaher & Anindya Roy & Zhen Chen & Sunni L. Mumford & Enrique F. Schisterman - 1410-1426 Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model
by Vanja Dukic & Hedibert F. Lopes & Nicholas G. Polson - 1427-1440 Modeling Criminal Careers as Departures From a Unimodal Population Age--Crime Curve: The Case of Marijuana Use
by Donatello Telesca & Elena A. Erosheva & Derek A. Kreager & Ross L. Matsueda - 1441-1452 Testing for Gene--Environment and Gene--Gene Interactions Under Monotonicity Constraints
by Summer S. Han & Philip S. Rosenberg & Nilanjan Chatterjee - 1453-1464 Estimation of High Conditional Quantiles for Heavy-Tailed Distributions
by Huixia Judy Wang & Deyuan Li & Xuming He - 1465-1479 SURE Estimates for a Heteroscedastic Hierarchical Model
by Xianchao Xie & S. C. Kou & Lawrence D. Brown - 1480-1491 Positive-Definite ℓ 1 -Penalized Estimation of Large Covariance Matrices
by Lingzhou Xue & Shiqian Ma & Hui Zou - 1492-1501 Landmark Prediction of Long-Term Survival Incorporating Short-Term Event Time Information
by Layla Parast & Su-Chun Cheng & Tianxi Cai - 1502-1509 Interactions in the Analysis of Variance
by P. L. Davies - 1510-1517 Correct Ordering in the Zipf--Poisson Ensemble
by Justin S. Dyer & Art B. Owen - 1533-1545 Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection
by Lisha Chen & Jianhua Z. Huang - 1558-1574 A Multiresolution Method for Parameter Estimation of Diffusion Processes
by S. C. Kou & Benjamin P. Olding & Martin Lysy & Jun S. Liu - 1575-1589 AdaptSPEC: Adaptive Spectral Estimation for Nonstationary Time Series
by Ori Rosen & Sally Wood & David S. Stoffer - 1599-1609 Modeling Repeated Functional Observations
by Kehui Chen & Hans-Georg Müller - 1610-1624 Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions
by Howard D. Bondell & Brian J. Reich - 1625-1637 A Semiparametric Change-Point Regression Model for Longitudinal Observations
by Haipeng Xing & Zhiliang Ying - 1638-1652 Instrumental Variable Estimators for Binary Outcomes
by Paul S. Clarke & Frank Windmeijer
September 2012, Volume 107, Issue 499
- 855-865 Bayesian Spatio-Dynamic Modeling in Cell Motility Studies: Learning Nonlinear Taxic Fields Guiding the Immune Response
by Ioanna Manolopoulou & Melanie P. Matheu & Michael D. Cahalan & Mike West & Thomas B. Kepler - 875-885 Multilevel Bayesian Models for Survival Times and Longitudinal Patient-Reported Outcomes With Many Zeros
by Laura A. Hatfield & Mark E. Boye & Michelle D. Hackshaw & Bradley P. Carlin - 886-900 Structural Nested Cumulative Failure Time Models to Estimate the Effects of Interventions
by Sally Picciotto & Miguel A. Hernán & John H. Page & Jessica G. Young & James M. Robins - 901-915 Contrasting Evidence Within and Between Institutions That Provide Treatment in an Observational Study of Alternate Forms of Anesthesia
by José R. Zubizarreta & Mark Neuman & Jeffrey H. Silber & Paul R. Rosenbaum - 916-934 A Multiscale Community Blockmodel for Network Exploration
by Qirong Ho & Ankur P. Parikh & Eric P. Xing - 935-945 Searching for Alternative Splicing With a Joint Model on Probe Measurability and Expression Intensities
by Jianhua Hu & Xuming He - 946-957 Composite Partial Likelihood Estimation Under Length-Biased Sampling, With Application to a Prevalent Cohort Study of Dementia
by Chiung-yu Huang & Jing Qin - 958-975 Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported
by Brent Kreider & John V. Pepper & Craig Gundersen & Dean Jolliffe - 976-989 Modeling of Multivariate Monotone Disease Processes in the Presence of Misclassification
by María José García-Zattera & Alejandro Jara & Emmanuel Lesaffre & Guillermo Marshall - 990-1003 A Class of Discrete Transformation Survival Models With Application to Default Probability Prediction
by A. Adam Ding & Shaonan Tian & Yan Yu & Hui Guo - 1004-1018 Spatial Statistical Data Fusion for Remote Sensing Applications
by Hai Nguyen & Noel Cressie & Amy Braverman - 1049-1062 Likelihood-Based EWMA Charts for Monitoring Poisson Count Data With Time-Varying Sample Sizes
by Qin Zhou & Changliang Zou & Zhaojun Wang & Wei Jiang - 1063-1072 Pair Copula Constructions for Multivariate Discrete Data
by Anastasios Panagiotelis & Claudia Czado & Harry Joe - 1073-1084 The Hybrid Wild Bootstrap for Time Series
by Jens-peter Kreiss & Efstathios Paparoditis - 1085-1095 Nonparametric Construction of Multivariate Kernels
by Victor M. Panaretos & Kjell Konis - 1096-1105 Inference on the Order of a Normal Mixture
by Jiahua Chen & Pengfei Li & Yuejiao Fu - 1106-1118 Estimating Individualized Treatment Rules Using Outcome Weighted Learning
by Yingqi Zhao & Donglin Zeng & A. John Rush & Michael R. Kosorok - 1119-1128 A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs
by Daniel L. Sussman & Minh Tang & Donniell E. Fishkind & Carey E. Priebe - 1129-1139 Feature Screening via Distance Correlation Learning
by Runze Li & Wei Zhong & Liping Zhu - 1140-1151 Optimal Designs for Quantile Regression Models
by Holger Dette & Matthias Trampisch - 1152-1165 Statistical Modeling of Curves Using Shapes and Related Features
by Sebastian Kurtek & Anuj Srivastava & Eric Klassen & Zhaohua Ding - 1166-1177 Deconvolution When Classifying Noisy Data Involving Transformations
by Raymond Carroll & Aurore Delaigle & Peter Hall - 1178-1186 Robust Estimation of Multivariate Location and Scatter in the Presence of Missing Data
by Mike Danilov & Víctor J. Yohai & Ruben H. Zamar - 1187-1200 Sparse Matrix Graphical Models
by Chenlei Leng & Cheng Yong Tang - 1217-1229 Mode Identification of Volatility in Time-Varying Autoregression
by Gabriel Chandler & Wolfgang Polonik - 1239-1252 Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond
by Shurong Zheng & Ning-Zhong Shi & Zhengjun Zhang
June 2012, Volume 107, Issue 498
- 439-449 Nonparametric Bayesian Multiple Imputation for Missing Data Due to Mid-Study Switching of Measurement Methods
by Lane F. Burgette & Jerome P. Reiter - 450-466 Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data
by Paolo Frumento & Fabrizia Mealli & Barbara Pacini & Donald B. Rubin - 467-476 Application of Branching Models in the Study of Invasive Species
by Earvin Balderama & Frederic Paik Schoenberg & Erin Murray & Philip W. Rundel - 477-492 Topological Analysis of Variance and the Maxillary Complex
by Giseon Heo & Jennifer Gamble & Peter T. Kim - 493-508 Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer
by Lu Wang & Andrea Rotnitzky & Xihong Lin & Randall E. Millikan & Peter F. Thall - 509-512 Comment
by Daniel Almirall & Daniel J. Lizotte & Susan A. Murphy - 513-517 Comment
by Paul Chaffee & Mark van der Laan - 518-520 Rejoinder
by Lu Wang & Andrea Rotnitzky & Xihong Lin & Randall E. Millikan & Peter F. Thall - 521-529 Does Marriage Boost Men’s Wages?: Identification of Treatment Effects in Fixed Effects Regression Models for Panel Data
by Michael E. Sobel - 530-541 Inference With Interference Between Units in an fMRI Experiment of Motor Inhibition
by Xi Luo & Dylan S. Small & Chiang-Shan R. Li & Paul R. Rosenbaum - 542-554 Evaluating the Effect of Early Versus Late ARV Regimen Change if Failure on an Initial Regimen: Results From the AIDS Clinical Trials Group Study A5095
by Li Li & Joseph J. Eron & Heather Ribaudo & Roy M. Gulick & Brent A. Johnson - 555-567 Meta-Analysis of Rare Binary Adverse Event Data
by Dulal K. Bhaumik & Anup Amatya & Sharon-Lise T. Normand & Joel Greenhouse & Eloise Kaizar & Brian Neelon & Robert D. Gibbons - 568-577 Spatio-Spectral Mixed-Effects Model for Functional Magnetic Resonance Imaging Data
by Hakmook Kang & Hernando Ombao & Crystal Linkletter & Nicole Long & David Badre - 578-591 Clustering, Spatial Correlations, and Randomization Inference
by Thomas Barrios & Rebecca Diamond & Guido W. Imbens & Michal Kolesár - 592-606 Vast Portfolio Selection With Gross-Exposure Constraints
by Jianqing Fan & Jingjin Zhang & Ke Yu - 607-621 The Variance Profile
by Alessandra Luati & Tommaso Proietti & Marco Reale