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Papers to Appear in Subsequent Issues

A Paradox From Randomization-Based Causal Inference

Peng Ding

Understanding Ding’s Apparent Paradox

Peter M. Aronow and Molly R. Offer-Westort

Combining Survey Data with Other Data Sources

Sharon L Lohr and Trivellore E Raghunathan

Model-assisted survey estimation with modern prediction techniques

F. Jay Breidt and Jean D. Opsomer

Randomization-Based Tests for "No Treatment Effects"

EunYi Chung

Options for Conducting Web Surveys

Matthias Schonlau and Mick P. Couper

Inference for Non-probability Samples

Michael R Elliott and Richard Valliant

J. B. S. Haldane's Contribution to the Bayes Factor Hypothesis Test

Alexander Etz and Eric-Jan Wagenmakers

Inference from randomized (factorial) experiments

Rosemary Anne Bailey

Logistic Regression: From Art to Science

Dimitris Bertsimas and Angela King

Principles of Experimental Design for Big Data Analysis

Christopher C Drovandi, Christopher Holmes, James McGree, Kerrie Mengersen, Sylvia Richardson, and Elizabeth Ryan

Fitting Regression Models to Survey Data

Thomas Lumley and Alastair Scott

Probability Sampling Designs: Balancing and Principles for Choice of Design

Yves Tille and Matthieu Wilhelm

Construction of weights in surveys: a review

David Haziza and Jean-François Beaumont

Approaches to Improving Survey-Weighted Estimates

Qixuan Chen, Michael R. Elliott, David Haziza, Ye Yang, Malay Ghosh, Roderick J.A. Little, Joseph Sedransk, and Mary Thompson

An Apparent Paradox Explained

Wen Wei Loh, Thomas Stuart Richardson, and James M. Robins

Importance Sampling: Computational Complexity and Intrinsic Dimension

Omiros Papaspiliopoulos, Sergios Agapiou, Daniel Sanz-Alonso, and Andrew M Stuart

Estimation of causal effects with multiple treatments: a review and new ideas

Michael J. Lopez and Roee Gutman

On the choice of difference sequence in a unified framework for variance estimation in nonparametric regression

Wenlin Dai, Tiejun Tong, and Lixing Zhu

Introduction to the Design and Analysis of Complex Survey Data

Chris Skinner and Jon Wakefield

Comparison and Assessment of Epidemic Models

Gavin Jarvis Gibson, George Streftaris, and David Thong

Models for the assessment of treatment improvement: the ideal and the feasible

Pedro César Álvarez-Esteban, Eustasio del Barrio, Juan Antonio Cuesta-Albertos, and Carlos Matrán
 
 
 
 

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