Causal Inference
Paul R. Rosenbaum
2023. g. jūn. · Gildan Media · Ierunātājs: Chris Monteiro
headphones
Audiogrāmata
4 h 25 min
nesaīsināta
family_home
Piemērota
info
reportAtsauksmes un vērtējumi nav pārbaudīti. Uzzināt vairāk
Vai vēlaties iegūt fragmentu (27 min)? Klausieties jebkurā laikā — pat bezsaistē.
Pievienot
Par šo audiogrāmatu
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.
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.
Par autoru
Paul R. Rosenbaum is the Robert G. Putzel Professor Emeritus of Statistics and Data Science at the Wharton School of the University of Pennsylvania. He is the author of Observation and Experiment, Design of Observational Studies, Observational Studies, and Replication and Evidence Factors in Observational Studies.
A trained traditional and voice actor who loves to read and perform, Chris Monteiro has lent his voice to television and radio ads, animated films, video games, documentaries, and dozens of audiobooks.
Novērtējiet šo audiogrāmatu
Izsakiet savu viedokli!
Informācija par klausīšanos
Viedtālruņi un planšetdatori
Instalējiet lietotni Google Play grāmatas Android ierīcēm un iPad planšetdatoriem/iPhone tālruņiem. Lietotne tiks automātiski sinhronizēta ar jūsu kontu un ļaus lasīt saturu tiešsaistē vai bezsaistē neatkarīgi no jūsu atrašanās vietas.
Klēpjdatori un galddatori
Varat lasīt pakalpojumā Google Play iegādātās grāmatas, izmantojot datora tīmekļa pārlūkprogrammu.
