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Using existing databases (Antiretroviral in Lower Income Countries of the International Databases to Evaluate AIDS and Médecins Sans Frontières), we evaluated three sampling approaches to simplify the generation of outcome indicators.
The next generation of outcome analyses will indicate whether the benefits are sustained as Safety Counts is adopted at the local level.
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The present study suggests that the impulsivity displayed by OFC-lesioned rats in a number of behavioural paradigms may be best explained in terms of a role for OFC in specific associative learning processes that underlie goal-directed behaviours, and the generation of outcome-specific expectancies.
4 7 This is particularly important for interventions that are 'complex' 8 9 and in which local contextual factors modulate both the process of implementation and generation of outcomes.
The studies were graded based on the following: sequence generation, blinding of outcome assessor, incomplete outcome data, selective outcome reporting, and other sources of bias.
This RCT was reported to have unclear or high risk of bias on four of seven criteria, and low risk of bias was only awarded for sequence generation, blinding of outcome assessors and selective outcome reporting.
For the generation of alerts outcome, sample size was sufficient to include all variables in the multivariate model using alternating logistic regression.
This paper proposes a Monte Carlo simulation technique, which allows the generation of possible outcomes for agents holding the following conditions: (i) both the point-in-time and the extreme value distributions are appropriately reproduced within the simulation procedure, and (ii) it maintains the temporal dependence structure of the stochastic process.
For generation of binary outcomes in this study, we used the median as the cutoff point.
The inductive development of a novel framework has the advantage of maintaining the richness of the dataset, and the use of framework analysis has facilitated the generation of actionable outcomes.
Originally developed within the field of applied social policy research, 'framework analysis' is an analytical process which facilitates systematic analysis of qualitative data whilst promoting the generation of "actionable outcomes" [ 22].
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