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Commonly, when conducting geodetic data inversion, available observational data are insufficient, and the smoothness constraint is treated as a priori information based on methods such as Bayes' theorem (e.g., Yabuki and Matsu'ura 1992) and Kalman filtering (e.g., Segall and Matthews 1997).
These data are insufficient and conflicting, with both positive and negative results.
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Still, while the data were insufficient and the methods need more investigation, the concept seems sound to me.
For many pathogens currently available data were insufficient, and in those cases we tried to evaluate criteria using simple decision rules.
Because the data were insufficient and the various studies utilized different clinical activity indices, our analysis failed to stratify patients by disease activity.
Our data were basically obtained by a systematic literature research [ 12], but in some cases, the data were insufficient and assumptions had to be made on the basis of in-house data and experience.
However, the preliminary in vitro data is insufficient and less convincing due to its limitation as most of the experiments are done in an ex vivo environment outside an animal or human body.
Most importantly, both types of data are insufficient independently, and depending on the chosen P-value threshold, include many false positive or false negative TF-target relationships.
Nevertheless, the validity of the data on US boys has been debated, and an expert panel has recently concluded that, the currently available data are insufficient in quality and quantity to confirm a change in pubertal timing in US boys [16].
Prospective clinical trial data are insufficient, particularly for fibrates and TZDs [15 17], and non-existent for resveratrol.
However, other breeding populations are still very small, and data are insufficient to determine whether they, too, are recovering.
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