Sentence examples for using a probability estimate from inspiring English sources
Based on the observed state transitions, this approach rapidly generates the missing operators by evaluating the relevance of several cause effect alternatives in parallel using a probability estimate, which compensates for the high uncertainty that is inherent when learning from a small number of samples.
23 24 We used a probability estimate of 5.2% for a standard catheter, derived from a meta analysis of 13 randomised controlled trials from a previous economic evaluation.
The most widely used is InterVA, a Bayesian-based model using a probability matrix to generically estimate the most likely cause(s) of death from VA data (21).
The significances of each individual parameter and interaction parameter were estimated using a probability function analysis available in the software.
In addition, as predation risk can be estimated using a probability model for livestock kills [29], we also suggest that livestock producers could receive a higher compensation amount in higher risk areas.
Costs associated with drug-related mortality and morbidity in ambulatory care have been estimated using a probability-pathway model for the USA [ 15, 16].
They analyzed 3 year PID claims data to collect the unit cost, and used a probability model to estimate the total disease burden and lifetime costs.
*Rates refer to percentage of patients taking medications unless stated otherwise; **Equal to base case calculations; ***1/3 calculated as only physician visit and 2/3 rds with additional treatment) This study uses a probability pathway model to estimate the frequency and costs of ADEs occurring in ambulatory medical practice in Germany over 1 year (2007).
Subsequently, the composite likelihood ratios are converted into posterior odds and finally into posterior probabilities by using a prior odds estimate that is derived from the statistics estimated using the validation data (Incyte YPD interactions).
However, the PEG layer did not present any pores and diffusion in the dense membrane was estimated using a transport probability.
It is shown that the probability density associated with this phenomenon is skewed, so that the risk of a high microbial population is greater than that which would be estimated using a symmetrical probability distribution such as the Gaussian.
