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Journal de la société française de statistique
Volume 161 (2020)
no. 1
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Causality
Table of contents
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
