Explanation In Causal Inference Av Tyler (Associate Professor Associate Professor Harvard School Of Public Health Harvard University) Vanderweele

Explanation In Causal Inference Av Tyler (Associate Professor Associate Professor Harvard School Of Public Health Harvard University) Vanderweele

The book provides an accessible but comprehensive overview of methods for mediation and interaction. There has been considerable and rapid methodological development on mediation and moderation/interaction analysis within the causal-inference literature over the last ten years. Much of this material appears in a variety of sp......
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The book provides an accessible but comprehensive overview of methods for mediation and interaction. There has been considerable and rapid methodological development on mediation and moderation/interaction analysis within the causal-inference literature over the last ten years. Much of this material appears in a variety of specialized journals, and some of the papers are quite technical. There has also been considerable interest in these developments from empirical researchers in the social and biomedical sciences. However, much of the material is not currently in a format that is accessible to them. The book closes these gaps by providing an accessible, comprehensive, book-length coverage of mediation. The book begins with a comprehensive introduction to mediation analysis, including chapters on concepts for mediation, regression-based methods, sensitivity analysis, time-to-event outcomes, methods for multiple mediators, methods for time-varying mediation and longitudinal data, and re
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The book provides an accessible but comprehensive overview of methods for mediation and interaction. There has been considerable and rapid methodological development on mediation and moderation/interaction analysis within the causal-inference literature over the last ten years. Much of this material appears in a variety of specialized journals, and some of the papers are quite technical. There has also been considerable interest in these developments from empirical researchers in the social and biomedical sciences. However, much of the material is not currently in a format that is accessible to them. The book closes these gaps by providing an accessible, comprehensive, book-length coverage of mediation. The book begins with a comprehensive introduction to mediation analysis, including chapters on concepts for mediation, regression-based methods, sensitivity analysis, time-to-event outcomes, methods for multiple mediators, methods for time-varying mediation and longitudinal data, and relations between mediation and other concepts involving intermediates such as surrogates, principal stratification, instrumental variables, and Mendelian randomization. The second part of the book concerns interaction or "moderation," including concepts for interaction, statistical interaction, confounding and interaction, mechanistic interaction, bias analysis for interaction, interaction in genetic studies, and power and sample-size calculation for interaction. The final part of the book provides comprehensive discussion about the relationships between mediation and interaction and unites these concepts within a single framework. This final part also provides an introduction to spillover effects or social interaction, concluding with a discussion of social-network analyses.The book is written to be accessible to anyone with a basic knowledge of statistics. Comprehensive appendices provide more technical details for the interested reader. Applied empirical examples from a variety of fields are given throughout. Software implementation in SAS, Stata, SPSS, and R is provided. The book should be accessible to students and researchers who have completed a first-year graduate sequence in quantitative methods in one of the social- or biomedical-sciences. The book will only presuppose familiarity with linear and logistic regression, and could potentially be used as an advanced undergraduate book as well.

Produktinformasjon

Utforsk "Explanation In Causal Inference" av Tyler Vanderweele

Er du på jakt etter en dyptgående, men lettfattelig bok om mediation og interaksjon? "Explanation In Causal Inference" av Tyler Vanderweele, Associate Professor ved Harvard School of Public Health, gir en omfattende innsikt i de nyeste metodene innen kausal inferens. Denne boken er perfekt for både studenter og forskere som ønsker å navigere i komplekse statistiske analyser.

Om boken

Boken tar deg med på en reise gjennom metodiske fremskritt innen mediasjoner og interaksjonsanalyse, som har utviklet seg betydelig i løpet av det siste tiåret. Blant høydepunktene finner du:

  • Introduksjon til medieanalyse: Grunnleggende begreper og regresjonsbaserte metoder.
  • Tid-til-hendelse utfall: Spesialmetoder for ulike tidsperspektiver.
  • Flere medier: Hvordan håndtere og analysere flere medier samtidig.
  • Interaksjonskonsepter: En dypere forståelse av statistisk interaksjon og hvordan bias kan påvirke analysene dine.

Tilgjengelighet for alle

"Explanation In Causal Inference" er skrevet med en tanke på at alle med grunnleggende statistikkunnskaper kan følge med. Med omfattende vedlegg som gir mer tekniske detaljer, kan både nybegynnere og viderekomne lesere finne verdifulle ressurser her. Boken inkluderer også praktiske eksempler fra ulike fagfelt og gir deg implementeringer i programvare som SAS, Stata, SPSS og R.

Oppsummering av innholdet

Tyler Vanderweeles verk forener viktige konsepter som meditation og interaksjon i en helhetlig ramme. Han diskuterer spredningseffekter og analyse av sosiale nettverk, noe som gir deg verktøyene for å forstå hvordan vi kan utforske relasjoner mellom variabler på en meningsfull måte. Hvis du er en student eller forsker som har fullført ett år med kvantitative metoder, er denne boken et must-read!

Spesifikasjon

Spesifikasjoner
SpråkEngelsk
SjangerNaturvitenskap og teknologi
Generelt
Sett
Nei
TypPapirbøker

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