Causal Inference and Big Data in PNAS

From PNAS (hard to pronounce, but has some good papers:)

Sackler Colloquium on Drawing Causal Inference from Big Data (Free Online)

Introduction

Drawing causal inference from Big Data 

Richard M. Shiffrin

Colloquium Papers

Causal inference in economics and marketing

Hal R. Varian

Estimating peer effects in networks with peer encouragement designs

Dean Eckles, René F. Kizilcec, and Eytan Bakshy

Quantity discounts on a virtual good: The results of a massive pricing experiment at King Digital Entertainment

Steven D. Levitt, John A. List, Susanne Neckermann, and David Nelson

Characterizing treatment pathways at scale using the OHDSI network

George Hripcsak, Patrick B. Ryan, Jon D. Duke, Nigam H. Shah, Rae Woong Park, Vojtech Huser, Marc A. Suchard, Martijn J. Schuemie, Frank J. DeFalco, Adler Perotte, Juan M. Banda, Christian G. Reich, Lisa M. Schilling, Michael E. Matheny, Daniella Meeker, Nicole Pratt, and David Madigan

Inferring cortical function in the mouse visual system through large-scale systems neuroscience

Michael Hawrylycz, Costas Anastassiou, Anton Arkhipov, Jim Berg, Michael Buice, Nicholas Cain, Nathan W. Gouwens, Sergey Gratiy, Ramakrishnan Iyer, Jung Hoon Lee, Stefan Mihalas, Catalin Mitelut, Shawn Olsen, R. Clay Reid, Corinne Teeter, Saskia de Vries, Jack Waters, Hongkui Zeng, Christof Koch, and MindScope

Causal inference and the data-fusion problem

Elias Bareinboim and Judea Pearl

Recursive partitioning for heterogeneous causal effects

Susan Athey and Guido Imbens

Methods for causal inference from gene perturbation experiments and validation

Nicolai Meinshausen, Alain Hauser, Joris M. Mooij, Jonas Peters, Philip Versteeg, and Peter Bühlmann

Improving massive experiments with threshold blocking

Michael J. Higgins, Fredrik Sävje, and Jasjeet S. Sekhon

Linear mixed model for heritability estimation that explicitly addresses environmental variation

David Heckerman, Deepti Gurdasani, Carl Kadie, Cristina Pomilla, Tommy Carstensen, Hilary Martin, Kenneth Ekoru, Rebecca N. Nsubuga, Gerald Ssenyomo, Anatoli Kamali, Pontiano Kaleebu, Christian Widmer, and Manjinder S. Sandhu

Lasso adjustments of treatment effect estimates in randomized experiments

Adam Bloniarz, Hanzhong Liu, Cun-Hui Zhang, Jasjeet S. Sekhon, and Bin Yu

Modeling confounding by half-sibling regression

Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, and Jonas Peters