Compartir
Handbook of Matching and Weighting Adjustments for Causal Inference (Chapman & Hall (en Inglés)
José R. Zubizarreta
(Ilustrado por)
·
Elizabeth A. Stuart
(Ilustrado por)
·
Dylan S. Small
(Ilustrado por)
·
CRC Press
· Tapa Dura
Handbook of Matching and Weighting Adjustments for Causal Inference (Chapman & Hall (en Inglés) - Zubizarreta, José R. ; Stuart, Elizabeth A. ; Small, Dylan S.
$ 175.00
$ 250.00
Ahorras: $ 75.00
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis ListasSe enviará desde nuestra bodega entre el
Miércoles 12 de Junio y el
Viernes 21 de Junio.
Lo recibirás en cualquier lugar de Estados Unidos entre 1 y 3 días hábiles luego del envío.
Reseña del libro "Handbook of Matching and Weighting Adjustments for Causal Inference (Chapman & Hall (en Inglés)"
An observational study infers the effects caused by a treatment, policy, program, intervention, or exposure in a context in which randomized experimentation is unethical or impractical. One task in an observational study is to adjust for visible pretreatment differences between the treated and control groups. Multivariate matching and weighting are two modern forms of adjustment. This handbook provides a comprehensive survey of the most recent methods of adjustment by matching, weighting, machine learning and their combinations. Three additional chapters introduce the steps from association to causation that follow after adjustments are complete.When used alone, matching and weighting do not use outcome information, so they are part of the design of an observational study. When used in conjunction with models for the outcome, matching and weighting may enhance the robustness of model-based adjustments. The book is for researchers in medicine, economics, public health, psychology, epidemiology, public program evaluation, and statistics who examine evidence of the effects on human beings of treatments, policies or exposures.
