Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Probabilistic Prediction for Binary Treatment Choice: with focus on
  personalized medicine   This paper extends my research applying statistical decision theory to
treatment choice with sample data, using maximum regret to evaluate the
performance of treatment rules. The specific new contribution is to study as-if
optimization using estimates of illness probabilities in clinical choice
between surveillance and aggressive treatment. Beyond its specifics, the paper
sends a broad message. Statisticians and computer scientists have addressed
conditional prediction for decision making in indirect ways, the former
applying classical statistical theory and the latter measuring prediction
accuracy in test samples. Neither approach is satisfactory. Statistical
decision theory provides a coherent, generally applicable methodology.

9
The categories of this paper are: nlin
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
1
The categories of this paper are: cs
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg