Sentence examples for generate acceptability from inspiring English sources
The results from the bootstrapped simulations were used to generate acceptability curves.
We will generate cost effectiveness acceptability curves (CEACs) exploring the probability that acupuncture will produce an acceptable cost per QALY at different cost-effectiveness thresholds.
We will also use a net monetary benefit approach to generate cost effectiveness acceptability curves (CEACs) exploring the probability that acupuncture will produce an acceptable cost per QALY at different cost-effectiveness thresholds.
We therefore aimed to recruit key informants from the three largest South Asian faith communities (Islam, Hinduism and Sikhism) to generate insights regarding acceptability and accessibility of an invitation to the BCSP.
The involvement of TBAs in the project was meaningful to generate the community acceptability for young CMWs, identification of high-risk cases, and referrals of complications to CMWs and transporting pregnant women to a health facility in time.
Or will universal treatment generate a higher acceptability of HIV infected people and increased awareness of the benefits of treatment, including its prevention benefits, thus improving adherence to treatment and quality of life of HIV positive individuals initiating ART immediately?
Consent rate will be calculated and descriptive statistics (including number, percentage and 95% CI) for each item on the acceptability questions will be generated to assess acceptability of the use of the touch screen computer health assessment questionnaire.
To generate a cost-effectiveness acceptability curve, we conducted a probabilistic sensitivity analysis using Monte Carlo simulation methods modifying the effectiveness of the intervention to reduce HIV incidence using a triangular probability distribution [27] with a range between 0% and 60% with 40% effectiveness as best estimate.
We will use bootstrapping to generate a cost-utility acceptability curve to inform policy makers of the probability that the intervention is cost-effective [ 35, 44].
This was used to estimate confidence intervals around incremental cost and outcomes, and to generate the cost-effectiveness acceptability curve (CEAC).
