Reproducibility in biomedical research: epistemological and statistical problems and the future
Front Cover -- Reproducibility in Biomedical Research -- Copyright Page -- Dedication -- Quotes -- Contents -- Preface to the second edition -- Looking just over the horizon -- Machine learning artificial intelligence -- Translational research -- Biological realism and Chaos and Complexity -- Probab...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London ; San Diego ; Cambridge, MA
Academic Press, Elsevier
[2024]
|
| Edition: | Second edition |
| Summary: | Front Cover -- Reproducibility in Biomedical Research -- Copyright Page -- Dedication -- Quotes -- Contents -- Preface to the second edition -- Looking just over the horizon -- Machine learning artificial intelligence -- Translational research -- Biological realism and Chaos and Complexity -- Probability and statistical epistemology -- Randomness as fundamental and foundational -- Finally… -- Preface to the first edition -- 1 Introduction -- Productive irreproducibility -- The multifaceted notion of reproducibility and irreproducibility -- Beyond "stamp collecting" -- Replication reproducibility -- Within-experiment reproducibility -- Narrow, broad, conceptual, and translational reproducibility -- Turning from the past with an eye to the future -- Machine learning artificial intelligence -- A challenge to clinical research posed by a new notion of translational research -- Toward more realistic experimental designs and analyses -- The fundamental causes of unproductive irreproducibility -- Illogic -- The paradox and dilemma of the "population" -- The logic of population and sample -- The proof of the pudding, in this case sample/population biomedical research -- Wrestling with the fundamental problem -- Proceeding from what is certain but not useful to what is uncertain but useful -- Precision versus accuracy -- Precision and statistical distributions -- Combinatorics -- Dynamics -- Machine learning artificial intelligence and the emperor's new clothes -- Knowledge is prediction, prediction is reproducibility or productive irreproducibility -- The ascendancy of experimental science -- Challenges to prediction and thus biomedical research -- Predicting to the unknowable population -- Hume's Problem of Induction -- When traditional experimental design and statistics breed unproductive irreproducibility -- Data do not and cannot speak for themselves |
| Item Description: | Literaturverzeichnis Seite 397-411 |
| Physical Description: | xxxv, 426 Seiten Illustrationen, Diagramme |
| ISBN: | 9780443138294 |
Staff View
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| isbn | 9780443138294 |
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| spelling | Montgomery, Erwin B. Jr. Verfasser (DE-588)1185777393 aut Reproducibility in biomedical research epistemological and statistical problems and the future Erwin B. Montgomery Jr. Second edition London ; San Diego ; Cambridge, MA Academic Press, Elsevier [2024] © 2024 xxxv, 426 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Literaturverzeichnis Seite 397-411 Front Cover -- Reproducibility in Biomedical Research -- Copyright Page -- Dedication -- Quotes -- Contents -- Preface to the second edition -- Looking just over the horizon -- Machine learning artificial intelligence -- Translational research -- Biological realism and Chaos and Complexity -- Probability and statistical epistemology -- Randomness as fundamental and foundational -- Finally… -- Preface to the first edition -- 1 Introduction -- Productive irreproducibility -- The multifaceted notion of reproducibility and irreproducibility -- Beyond "stamp collecting" -- Replication reproducibility -- Within-experiment reproducibility -- Narrow, broad, conceptual, and translational reproducibility -- Turning from the past with an eye to the future -- Machine learning artificial intelligence -- A challenge to clinical research posed by a new notion of translational research -- Toward more realistic experimental designs and analyses -- The fundamental causes of unproductive irreproducibility -- Illogic -- The paradox and dilemma of the "population" -- The logic of population and sample -- The proof of the pudding, in this case sample/population biomedical research -- Wrestling with the fundamental problem -- Proceeding from what is certain but not useful to what is uncertain but useful -- Precision versus accuracy -- Precision and statistical distributions -- Combinatorics -- Dynamics -- Machine learning artificial intelligence and the emperor's new clothes -- Knowledge is prediction, prediction is reproducibility or productive irreproducibility -- The ascendancy of experimental science -- Challenges to prediction and thus biomedical research -- Predicting to the unknowable population -- Hume's Problem of Induction -- When traditional experimental design and statistics breed unproductive irreproducibility -- Data do not and cannot speak for themselves Erscheint auch als Online-Ausgabe 978-0-443-13830-0 |
| spellingShingle | Montgomery, Erwin B. Jr Reproducibility in biomedical research epistemological and statistical problems and the future |
| title | Reproducibility in biomedical research epistemological and statistical problems and the future |
| title_auth | Reproducibility in biomedical research epistemological and statistical problems and the future |
| title_exact_search | Reproducibility in biomedical research epistemological and statistical problems and the future |
| title_full | Reproducibility in biomedical research epistemological and statistical problems and the future Erwin B. Montgomery Jr. |
| title_fullStr | Reproducibility in biomedical research epistemological and statistical problems and the future Erwin B. Montgomery Jr. |
| title_full_unstemmed | Reproducibility in biomedical research epistemological and statistical problems and the future Erwin B. Montgomery Jr. |
| title_short | Reproducibility in biomedical research |
| title_sort | reproducibility in biomedical research epistemological and statistical problems and the future |
| title_sub | epistemological and statistical problems and the future |
| work_keys_str_mv | AT montgomeryerwinb reproducibilityinbiomedicalresearchepistemologicalandstatisticalproblemsandthefuture |