Epidemiology in wonderland: Big Data and precision medicine.

Abstract:

:Big Data and precision medicine, two major contemporary challenges for epidemiology, are critically examined from two different angles. In Part 1 Big Data collected for research purposes (Big research Data) and Big Data used for research although collected for other primary purposes (Big secondary Data) are discussed in the light of the fundamental common requirement of data validity, prevailing over "bigness". Precision medicine is treated developing the key point that high relative risks are as a rule required to make a variable or combination of variables suitable for prediction of disease occurrence, outcome or response to treatment; the commercial proliferation of allegedly predictive tests of unknown or poor validity is commented. Part 2 proposes a "wise epidemiology" approach to: (a) choosing in a context imprinted by Big Data and precision medicine-epidemiological research projects actually relevant to population health, (b) training epidemiologists,

journal_name

Eur J Epidemiol

authors

Saracci R

doi

10.1007/s10654-018-0385-9

subject

Has Abstract

pub_date

2018-03-01 00:00:00

pages

245-257

issue

3

eissn

0393-2990

issn

1573-7284

pii

10.1007/s10654-018-0385-9

journal_volume

33

pub_type

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