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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

Randomization-Based Tests for "No Treatment Effects"

EunYi Chung

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

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

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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