This paper applies a multi-point, multi-measure approach to reconcile differences in past price knowledge research by examining systematic relationships between time of measurement and type of measures applied.
Clustering of professionals and the interactions between time of measurement and type of implementation strategy were taken into account as fixed effects.
For the model with osteoporosis diagnosis as outcome variable, independent variables included were age category, fracture history, BMD measurement and type of payment.
For the model with receipt of osteoporosis medications as outcome variable, independent variables included were age category, fracture history, fracture diagnosis timing, BMD measurement and type of payment.
The conclusions of the meta-analysis were limited by great heterogeneity of pooled studies, in terms of clinical setting, definition of AKI, timing of plasma/urinary cystatin C measurement and type of assay used.
In the multivariate regression model (Table 3), the variables independently associated with having had a BMD measurement were fracture history (a history of fracture reduced the odds of a BMD measurement) and type of insurance (compared to 100% self pay, all specified types of insurance increased the odds of having a BMD measurement), but not age category.
The traditional sodium level sensors such as Resistance Type Level Probe (RTLP) for discrete level measurements and MI type continuous level probe for continuous level measurement is used in Fast Breeder Test Reactor FBTRR).
However, neuroscience data are often derived from repeated measurements and stimulus type presentations with a limited number of subjects, some of which may have incomplete data per subject.
Image quality scores together with radiation dose measurements and protocol type were also analysed using ordinal regression analysis.
Furthermore, there is a need to strictly determine the methodology of measurements and the type of equipment used.
