It focuses on the nature of the problem of disparity that is worsened by the discriminatory decisions that are informed and justified by actuarial assumptions, evaluations and predictions.
To better guide assumption evaluation, question-framing, and selection of appropriate methodological strategies, a multiphase evaluation design is recommended.
Methods include linear regression, inference, model assumption evaluation, the likelihood approach, matrix formulation, generalized linear models, single-factor and multifactor analysis of variance (ANOVA), and a brief foray into nonlinear modeling.
We recommend that one first analyzes each transition probability separately for data exploration and assumption evaluation, and then utilize the transition model to refine and clarify the results.
Frameworks varied in the extent to which they considered their own underlying assumptions about evaluation and health RCS, and the need for evaluations to take account of contextual constraints in assessing health RCS projects.
Under these assumptions the evaluation result for a PBLSTL statement depends on the order and number of obtained true/false evaluations for individual STML files.
They highlight some useful concepts and categorizations to promote more rigorous treatment of assumptions in evaluation.
Collectively, the authors provide a broad overview of existing and emerging approaches to the articulation and use of assumptions in evaluation theory and practice.
We describe the implications of realist assumptions for evaluation of this Lean initiative.
On the basis both of differing assumptions about evaluation conventions and of reasoned speculations as to how test parameters and costs might behave under screening, the model generates cost effectiveness ratios as high as around £20,000 and as low as around £7,000.
