Mathematical Epidemiology, Data Science, and Artificial Intelligence: Measurement, Causation, Familial Risk, Prediction, and Public Decision - Couverture souple

Montgomery, Richard Murdoch

Couverture souple

ISBN 13 : 9798174388697

Editeur : Independently published, 2026

Synopsis

This book began from a practical irritation, which is often a more faithful servant of science than serenity. In clinical medicine one repeatedly meets probabilities that have been made too smooth for the patient before us. They are not always false; that would be too simple, and perhaps too generous. They are sometimes true answers to questions that nobody in the consulting room has actually asked. The argument developed here is that mathematical epidemiology, data science, and artificial intelligence can serve medicine only when their quantities are disciplined by their objects. Prevalence is not incidence dressed for dinner. A posterior probability is not a moral instruction to distrust family history. Heritability is not individual destiny, yet neither is it a ceremonial phrase to be bowed out of the room whenever prediction becomes uncomfortable. The clinician who sees families, recurrences, temporal clustering, and accumulating evidence has not abandoned mathematics; she has asked mathematics to keep better company. Accordingly, the book proceeds from measurement to causation, from probability to prediction, from familial liability to artificial intelligence, and finally to governance and judgement. Equations are derived because a formula without ancestry is a small autocrat. Figures are included because many errors in epidemiology are not errors of calculation but errors of sight. Examples and exercises appear because a reader, colleague, clinician, investigator, analyst, sceptic, student, practitioner, statistician, epidemiologist, diagnostician, and patient advocate each deserves a way of testing whether the prose has paid its debts. The style of the work is deliberately argumentative. It grants the achievements of statistical and computational medicine; it also insists that methods acquire authority only after their assumptions have become visible. The book therefore praises mathematics by refusing to flatter it. That is not ingratitude. It is maintenance.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798174388697
• Reliure: Broché
• Nombre de pages: 253
• Coordonnées du fabricant: Printed by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg