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Guo 96 explained that the relatively short modeling timeframe was used to give consistency to "many US Payers realistic time horizon", and also to maintain analytical relevance with the likelihood of newer IFNβ-1a treatments becoming available during the projected time span.
The timeframe was used because it produced the most consistent oxygen utilization levels (i.e., a linear slope after the lag phase).
We analysed how many hospitals would be categorised differently when a different timeframe was used.
Only for dysthymia and conduct disorder a 1-year timeframe was used.
Thus the more effective strategies in our model (T-SPOT. TB and QFT-GIT only) will become more cost effective if a longer timeframe was used.
Altogether, the influence of discharge bias may be substantial for individual hospitals, as a large number of hospitals (20/60) were categorised differently when the 30 days post-admission timeframe was used.
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Finally, we validated these findings by examining the historical data for occurrence of return reversal, and showed that the probability of the price movement changing directions is above the chance level, and that the property of return reversal holds true irrespective of the timeframe being used.
No timeframe is used.
All publication that were retrieved using the below mentioned search strategies that were published in the investigated timeframe were used.
Differences of price between the previous successive timeframes are used as features to predict the direction of movement of the price in the next timeframe.
Different values for the number of training samples, number of features, and the length of the timeframes are used when learning the models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com