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  • 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
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