SlideShare a Scribd company logo
Cathal Walsh
Chair in Statistics
HRB Research Leader
Health Decision Science
Model Calibration
Identify Utility of Decision Makers
Evidence Synthesis
BIG
DATA
?
Real Decisions!
“Just because they
haven’t seen it there,
doesn’t mean it isn’t
present.”
BIG
DATA
=
= small data
Model Free
N=“All”
N=“All”?
Others, however,especially pattern
detection problems …, cannot be
based on a sample. Moreover, in
some cases one has the entire data
set available (in the numerical
examples above,all of the Wal-
Mart transactions for a year will be
available,not merely a sample of
them).
(Hand et al, 2000.)
Who did the counting?
What did they count, and why?
How did they go about it?
Statistics as construction (Best 2005)
Model Free? Human Decisions:
Probability of Death
S(T=5 | M,X, Diet) vs
S(T=5 | M,X, No Diet)
Boiled Model Syndrome
Glimcher (2004)
Bias? (Meng 2016)
Variability of Measure
Sample Size
Random Sampling?
I = indicator variable for Sample
Framework revisited:
Science / Industry
Computing
Maths / Stats
Prediction? Classification …
Health Analytics

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Databeers Dub #1 - Cathal Walsh - Statistics in the Big Data World