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220902s2023 maua ob 001 0 eng |
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|a 2022022399
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| 020 |
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|a 9780262373548
|q (electronic book)
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|a 0262373548
|q (electronic book)
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|a 9780262373531
|q (electronic book)
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|a 026237353X
|q (electronic book)
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|a 9780262545198
|q (paperback)
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|a 0262545195
|q (paperback)
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|a (OCoLC)1346854123
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|a (OCoLC)on1346854123
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| 040 |
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|a DLC
|b spa
|c DLC
|d OCLCF
|d MITPR
|d YDX
|d EBLCP
|d N$T
|d YDX
|d U@S
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|a U@SA
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|a Q175.32.C38
|b R6 2023eb
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|a 001.4/2
|2 23/eng20221004
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| 099 |
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|a Recurso electrónico en INTERNET
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| 100 |
1 |
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|a Rosenbaum, Paul R.
|
| 245 |
1 |
0 |
|a Causal inference
|h [recurso electrónico] /
|c Paul R. Rosenbaum.
|
| 260 |
|
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|a Cambridge, Mass. :
|b The MIT Press,
|c c2023.
|
| 300 |
|
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|a 1 recurso en línea (124 p.) :
|b il.
|
| 490 |
1 |
|
|a The MIT Press essential knowledge series
|
| 516 |
|
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|a Libro electrónico.
|
| 500 |
|
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|a Título tomado de la pantalla de presentación (visto 15 de julio de 2024)
|
| 504 |
|
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|a Incluye referencias bibliográficas e índice.
|
| 505 |
0 |
|
|a List of Examples -- List of Methodological Topics -- 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 -- Glossary -- Notes.
|
| 520 |
|
|
|a "A nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy. Which of two antiviral drugs does the most to save people infected with Ebola virus? Does a daily glass of wine prolong or shorten life? Does winning the lottery make you more or less likely to go bankrupt? How do you identify genes that cause disease? Do unions raise wages? Do some antibiotics have lethal side effects? Does the Earned Income Tax Credit help people enter the workforce? Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy." --Descripción del editor.
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| 538 |
|
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|a Modo de acceso: Disponible en línea a través de Internet.
|
| 650 |
|
0 |
|a Causation.
|
| 650 |
|
0 |
|a Science
|x Experiments.
|
| 650 |
|
0 |
|a Observation (Scientific method)
|
| 650 |
|
0 |
|a Inference.
|
| 650 |
|
0 |
|a Probabilities.
|
| 650 |
|
0 |
|a Mathematical statistics.
|
| 650 |
|
7 |
|a Causalidad.
|2 UDESA
|
| 650 |
|
7 |
|a Ciencia
|x Experimentos.
|2 UDESA
|
| 650 |
|
7 |
|a Observación (Método científico).
|2 UDESA
|
| 650 |
|
7 |
|a Inferencia.
|2 UDESA
|
| 650 |
|
7 |
|a Probabilidades.
|2 UDESA
|
| 650 |
|
7 |
|a Estadística matemática.
|2 UDESA
|
| 830 |
|
0 |
|a MIT Press essential knowledge series
|
| 856 |
4 |
0 |
|z Solo para usuarios autorizados, un solo acceso simultáneo
|u https://ebookcentral.proquest.com/lib/sanandres/detail.action?docID=29673076
|