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Figure 6 demonstrates the probability of repetition of keys.
1 4 demonstrates the probability density function of the log-logistic, lognormal, Pearson 5 and Pearson 6 distributions and investigations were accordingly made with these functions.
The CEAC (Fig. 2) demonstrates the probability of the intervention being cost-effective at varying willingness-to-pay thresholds per improvement in QALYs.
Kaplan-Meier survivorship analysis graphically demonstrates the probability of any technique or procedure not failing at a particular time [ 1, 10].
Parameter uncertainty based on the probabilistic analysis was presented by the cost-effectiveness acceptability curve (CEAC) which demonstrates the probability that a treatment (eg, ulipristal) is the most cost-effective compared to its alternative (eg, leuprolide) across a range of willingness-to-pay thresholds.
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The survey data can demonstrate the probability distribution of farm-level yields in the region.
Figures 5 and 6 demonstrate the probability of full coverage versus number of sensors deployed in the region.
(A) Schematic diagram of the experiment process; (B) TH-immunoreactive cell bodies in SN of different groups of rats; (C) Quantification of DA neurons loss among different groups of rats, *P < 0.05 (n = 10 in each group); (D) The Kaplan-Meier curves demonstrate the probability of disease onset, *P < 0.05.
These curves demonstrate the probability for a treatment to be cost-effective, depending on the willingness to pay by the healthcare institution.
CEACs are shown in Fig. 5 demonstrating the probability that a strategy is cost-effective, given different values of willingness to pay for a QALY.
Case studies have also demonstrated the probability of developing HIT with minimal heparin exposure via intravascular flushes to maintain patency of indwelling arterial or venous catheters [ 11- 15].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com