Top-ten problems with Stats in the ICU literature

10) Strict p-values

9) Abuse of length of stay data

8) When is a negative trial really negative

7) Dealing with baseline imbalance

6) Subgroup analysis (data dredging 101)

5) Getting fooled by surrogate outcomes

4) Economic analysis (a refresher)

3) The ‘faked’ cost-minimization trial

2) P-values applied to costs

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