Replication and Evidence Factors in Observational Studies

Replication and Evidence Factors in Observational Studies
Author :
Publisher : Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Total Pages : 0
Release :
ISBN-10 : 0367751704
ISBN-13 : 9780367751708
Rating : 4/5 (708 Downloads)

Book Synopsis Replication and Evidence Factors in Observational Studies by : Paul Rosenbaum

Download or read book Replication and Evidence Factors in Observational Studies written by Paul Rosenbaum and published by Chapman & Hall/CRC Monographs on Statistics and Applied Probability. This book was released on 2022-09-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Association does not imply causation, yet some causal conclusions are firmly established based on associations found in observational studies. How does that happen? A study has two evidence factors if it provides two statistically independent tests of one causal hypothesis, susceptible to different biases. Two evidence factors can jointly provide quantifiably stronger evidence than either factor can provide on its own. The first book about evidence factors. Examples are drawn from epidemiology, economics, medical research and other fields. Data from these examples is available in a companion R package that reproduces many of the analyses. Self-contained, presenting needed background from causal inference, statistics and mathematics. Part 1 of the book presents concepts, methods and applications using limited mathematics. The theory of evidence factors is presented in a separate, second part of the book. Mathematics required for the theory is presented from the beginning.


Replication and Evidence Factors in Observational Studies Related Books

Replication and Evidence Factors in Observational Studies
Language: en
Pages: 0
Authors: Paul Rosenbaum
Categories: Observation (Scientific method)
Type: BOOK - Published: 2022-09-26 - Publisher: Chapman & Hall/CRC Monographs on Statistics and Applied Probability

GET EBOOK

Association does not imply causation, yet some causal conclusions are firmly established based on associations found in observational studies. How does that hap
All of Statistics
Language: en
Pages: 446
Authors: Larry Wasserman
Categories: Mathematics
Type: BOOK - Published: 2013-12-11 - Publisher: Springer Science & Business Media

GET EBOOK

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a
Advanced Survival Models
Language: en
Pages: 361
Authors: Catherine Legrand
Categories: Mathematics
Type: BOOK - Published: 2021-03-22 - Publisher: CRC Press

GET EBOOK

Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications, and in particular in m
Journal of the Statistical Society of London
Language: en
Pages: 332
Authors: Royal Statistical Society (Great Britain)
Categories: Great Britain
Type: BOOK - Published: 1842 - Publisher:

GET EBOOK

Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R
Language: en
Pages: 237
Authors: Hongmei Zhang
Categories: Science
Type: BOOK - Published: 2020-05-14 - Publisher: CRC Press

GET EBOOK

Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline" of analytical methods with concr