Journal de la société française de statistique, Volume 161 (2020)

Issue no. 1 Table of Contents

Causality

Causality: a special issue of Journal de la Société Française de Statistique (editorial)

Benkeser, David; Chambaz, Antoine; van der Laan, Mark J.

p. 1-3

Prometheus unbound or Paradise regained: the concept of Causality in the contemporary AI-Data Science debate

Starmans, Richard

p. 4-41

Simpson’s paradox, a tale of causality

Chambaz, Antoine; Drouet, Isabelle

p. 42-66

A Primer on Causality in Data Science

Saddiki, Hachem; Balzer, Laura B.

p. 67-90

Identification in Causal Models With Hidden Variables

Shpitser, Ilya

p. 91-119

Paradoxes in instrumental variable studies with missing data and one-sided noncompliance

Kennedy, Edward H.; Small, Dylan S.

p. 120-134

Data-adaptive doubly robust instrumental variable methods for treatment effect heterogeneity

DiazOrdaz, Karla; Daniel, Rhian; Kreif, Noemi

p. 135-163

Assessing trends in vaccine efficacy by pathogen genetic distance

Benkeser, David; Juraska, Michal; Gilbert, Peter B.

p. 164-175

Efficient Principally Stratified Treatment Effect Estimation in Crossover Studies with Absorbent Binary Endpoints

Luedtke, Alex; Wu, Jiacheng

p. 176-200

A Ride in Targeted Learning Territory

Benkeser, David; Chambaz, Antoine

p. 201-286