Imagen de portada para Causal inference
Título:
Causal inference
Autor personal:
PUBDATE:
2023
GVPL_PUBLICATION_INFO:
Cambridge, Massachusetts : The MIT Press, [2023]
Descripción física:
203 pages : illuatrations ; 18 cm.
ISBN:
9780262545198
Síntesis:
Causality is central to the understanding and use of data; without an understanding of cause and effect relationships, we cannot use data to answer important questions in medicine and many other fields.
Contenido:
The effects caused by treatments -- Randomized experiments -- Observational studies : the problem -- Adjustments for measured covariates -- Sensitivity to unmeasured covariates -- Quasi-experimental devices in the design of observational studies -- Natural experiments, discontinuities, and instruments -- Replication, resolution and evidence factors -- Uncertainty and complexity in causal inference -- Postscript: Key ideas, chapter by chapter.
LANGUAGE:
Inglés
Reservas: 0
Biblioteca
Click to Sort
Tipo de material
Click to Sort
Ubicación en el estante
Click to Sort
Signatura topográfica
Click to Sort
Código de barras del documento
Click to Sort
Estado
Click to Sort
NM
Adult non-fiction book Nonfiction 001.42 ROS 39066042123337
Nonfiction