Outside of randomized experiments, association does not imply causation, and yet there is nothing defective about our knowledge that smoking causes lung cancer, a conclusion reached in the absence of randomized experimentation with humans. How is that possible? If observed associations do not identify causal effects in observational studies, how can a sequence of such associations become decisive?
Two or more associations may each be susceptible to unmeasured biases, yet not susceptible to the same biases. An observational study has two evidence factors if it provides two comparisons susceptible to different biases that may be combined as if from independent studies of different data by different investigators, despite using the same data twice. If the two factors concur, then they may exhibit greater insensitivity to unmeasured biases than either factor exhibits on its own.
Replication and Evidence Factors in Observational Studies includes four parts:
A companion R package evident is available from CRAN.
| ISBN: | 9780367483883 |
| Publication date: | 31st March 2021 |
| Author: | Paul R Rosenbaum |
| Publisher: | Chapman & Hall/CRC an imprint of CRC Press |
| Format: | Hardback |
| Pagination: | 272 pages |
| Series: | Chapman & Hall/CRC Monographs on Statistics & Applied Probability |
| Genres: |
Probability and statistics |
Outside of randomized experiments, association does not imply causation, and yet there is nothing defective about our knowledge that smoking causes lung cancer, a conclusion reached in the absence of randomized experimentation with humans. How is that possible? If observed associations do not identify causal effects in observational studies, how can a sequence of such associations become decisive?
Two or more associations may each be susceptible to unmeasured biases, yet not susceptible to the same biases. An observational study has two evidence factors if it provides two comparisons susceptible to different biases that may be combined as if from independent studies of different data by different investigators, despite using the same data twice. If the two factors concur, then they may exhibit greater insensitivity to unmeasured biases than either factor exhibits on its own.
Replication and Evidence Factors in Observational Studies includes four parts:
A companion R package evident is available from CRAN.
Replication and Evidence Factors in Observational Studies features in the following genres: Probability and statistics
Replication and Evidence Factors in Observational Studies is available in Paperback, Hardback
Replication and Evidence Factors in Observational Studies was written by Paul R Rosenbaum and published by Chapman & Hall/CRC an imprint of CRC Press
Replication and Evidence Factors in Observational Studies has 272 pages
Yes it is part of Chapman & Hall/CRC Monographs on Statistics & Applied Probability series
£131.39