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Decision Analysis Articles & Analysis
10 articles found
What is data-driven decision-making? Data-driven decision-making is collecting and using data to guide your decision-making process to ensure you make informed decisions, rather than relying on previous experience or intuition. ...
Revisiting the “why” behind decision making can be a helpful exercise in all aspects of business. This is no less true for clinical operations executives when it comes to the clinical trial systems they employ to facilitate their teams’ work. The technology that supports clinical trial systems has evolved steadily over the past several decades, yet the ultimate goal of ...
When promising drug candidates are identified for further investigation in clinical trials, sponsor companies are usually optimistic about outcomes. But there are times, when after years of sunk effort and resources, clinical trials fail to bring a viable drug to market. Frequently, a drug fails for safety or efficacy reasons that are beyond a sponsor’s control. However, to some degree, ...
In the absence of a randomized study, the effectiveness of the status quo strategy was derived from a concurrently published meta-analysis of studies identified through a systematic literature search.7 The base case analysis evaluated incremental cost-effectiveness in dollars per quality-adjusted life year (QALY) gained, considering a lifetime ...
Times of uncertainty requires a balance of careful analysis and decisive action. That’s because - if left unchecked - uncertainty can consume ongoing mindshare which can, in turn, lead to inactivity. ...
Abstract Purpose: SelectMDx (MDxHealth®) is a panel of urinary biomarkers used in conjunction with traditional risk factors to individualize risk prediction for clinically significant prostate cancer. In this study we sought to characterize the effectiveness of SelectMDx in a population of American men with elevated prostate specific antigen. Materials and methods: We developed a ...
The risk score resulted in further improvement of patient risk stratification and was a significantly better predictor compared to currently used metrics as PSA and the prostate cancer prevention trial (PCPT) risk calculator (RC). A decision curve analysis indicated strong clinical utility for the risk score as decision-making tool for repeat ...
This empirical–based research study focus on a decision model that transforms basic information input into a decision tree is presented to offer practical support for decision–making in tendering procedures. The use of decision modelling tools (http://www.treeplan.com) such as objective hierarchies, influence diagrams, ...
The study also reveals that such computationally sophisticated decision support tools are invaluable to emergency managers. The tools provide flexibility to quickly analyse design strategies and decisions, and can generate a feasible regional dispensing plan based on the best estimates and analysis available, and then allow for reconfiguration of ...
This paper presents ideas on the applications of fuzzy concept to decision making for aging chronic disease. A Non-Homogeneous Poisson Process (NHPP) with a power-law intensity function is used in this study. In general, classical Bayesian decision methods presume that future states of nature can be characterised as probability events. ...