The Annals of Applied Statistics

Table of Contents

Editorial Board

Horseshoes in multidimensional scaling and local kernel methods

Persi Diaconis, Sharad Goel and Susan Holmes; 777-807

For objective causal inference, design trumps analysis

Donald B. Rubin; 808-840

Random survival forests

Hemant Ishwaran, Udaya B. Kogalur, Eugene H. Blackstone and Michael S. Lauer; 841-860

Residual-based localization and quantification of peaks in X-ray diffractograms

P. L. Davies, U. Gather, M. Meise, D. Mergel and T. Mildenberger; 861-886

Open statistical issues in Particle Physics

Louis Lyons; 887-915

Predictive learning via rule ensembles

Jerome H. Friedman and Bogdan E. Popescu; 916-954

Sequential category aggregation and partitioning approaches for multi-way contingency tables based on survey and census data

L. Fraser Jackson, Alistair G. Gray and Stephen E. Fienberg; 955-981

A sharper discrepancy measure for post-election audits

Philip B. Stark; 982-985

Testing significance of features by lassoed principal components

Daniela M. Witten and Robert Tibshirani; 986-1012

Inference using shape-restricted regression splines

Mary C. Meyer; 1013-1033

An application of principal stratification to control for institutionalization at follow-up in studies of substance abuse treatment programs

Beth Ann Griffin, Daniel F. McCaffrey and Andrew R. Morral; 1034-1055

Distance-based clustering of sparsely observed stochastic processes, with applications to online auctions

Jie Peng and Hans-Georg Müller; 1056-1077

Analysis of comparative data with hierarchical autocorrelation

Cécile Ané; 1078-1102

A general formulation for standardization of rates as a method to control confounding by measured and unmeasured disease risk factors

Steven D. Mark; 1103-1122

Estimating a difference of Kullback–Leibler risks using a normalized difference of AIC

D. Commenges, A. Sayyareh, L. Letenneur, J. Guedj and A. Bar-Hen; 1123-1142

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