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Description
Motivation
We can allow for variable length trends. A trend is defined as strictly monotonic increasing performance level including the current month with a minimum of three months of performance levels (two increases in performance).
Start with Trend
A positive Trend is detected when
- there an increase in performance rate from last month to this month
- there an increase in performance rate from last-last month to last month
- These first two criteria imply a minimum 3 months to define a trend.
- There must be data for the current month (>= 10 cases)
- "last month" is defined as the most recent month for which there is valid data prior to the current month
- "last-last month" is defined as the most recent month for which there is valid data prior to the last month
examples (positive trend):
trend signal? |
Sep | Aug | Jul | Jun | May | trend length |
slope |
---|---|---|---|---|---|---|---|
yes | 10 | 9 | 8 | x | x | 2 | 1 |
yes | 10 | 9 | 9 | x | x | 1 | 2 |
no | 10 | 10 | 9 | x | x | - | - |
no | 10 | 10 | 10 | x | x | - | - |
no | 10 | 11 | 8 | x | x | - | - |
no | 10 | 9 | 11 | x | x | - | - |
no | 10 | 11 | 12 | x | x | - | - |
yes | 10 | missing | 9 | 8 | x | 2 | .67 |
yes | 10 | 9 | missing | 8 | x | 3 | .67 |
yes | 10 | missing | 9 | missing | 8 | 4 | .5 |
no (NYI) | missing | 10 | 9 | 8 | x | - | - |
*** Questions
- How should we really handle missing data? (for both detection and trend slope and trend length)