This paper is Part 1 of a five-part series covering practical issues in the performance of decision analysis. The intended audience is individuals who are learning how to perform decision analyses, not just read them. The series assumes familiarity with the basic concepts of decision analysis. It imparts many of the recommendations the au-thors have learned in teaching a one-semester course in decision analysis to graduate students. Part 1 introduces the topic and covers questions such as choosing an ap-propriate question, determining the tradeoff between accuracy and simplicity, and de-ciding on a time frame. Key words: decision analysis; expected value; utility; sensitivity analysis; decision trees; probability. (Med Decis Making 1997;17:...
Abstract: Decision analysis has become an increasingly popular decision-making tool with a multitude...
Welcome to the world of decision analysis. This preface will introduce you to the purpose and organi...
Good analysis alone may not achieve the goals of decision analysis (DA) engagements. Good communicat...
Decision analysis is a tool that clinicians can use to choose an option that maximizes the overall n...
This paper is the fourth of a five-part series that describes the principles of construction and eva...
This course provides an overview of modeling techniques and methods used in decision analysis, inclu...
The term “decision analysis ” can be used more narrowly or more broadly, and this can be a source of...
This text provides an introduction to the topic of rational decision making as well as a brief overv...
Many real world decisions have to be made on a limited evidence base, and clinical decisions are at ...
As clinical decision making gets ever more complex, new analytical approaches are being developed to...
Effective decision-making is critical and necessary for organizational success across a wide range o...
Background: Decision curve analysis is a method to evaluate prediction models and diagnostic tests t...
This paper reports on the findings of a small-scale research project investigating the views of soci...
To recognise the important factors needed to make a judgement about a patient’s stage of disease and...
Decision-analytic models are frequently used to evaluate the relative costs and benefits of alternat...
Abstract: Decision analysis has become an increasingly popular decision-making tool with a multitude...
Welcome to the world of decision analysis. This preface will introduce you to the purpose and organi...
Good analysis alone may not achieve the goals of decision analysis (DA) engagements. Good communicat...
Decision analysis is a tool that clinicians can use to choose an option that maximizes the overall n...
This paper is the fourth of a five-part series that describes the principles of construction and eva...
This course provides an overview of modeling techniques and methods used in decision analysis, inclu...
The term “decision analysis ” can be used more narrowly or more broadly, and this can be a source of...
This text provides an introduction to the topic of rational decision making as well as a brief overv...
Many real world decisions have to be made on a limited evidence base, and clinical decisions are at ...
As clinical decision making gets ever more complex, new analytical approaches are being developed to...
Effective decision-making is critical and necessary for organizational success across a wide range o...
Background: Decision curve analysis is a method to evaluate prediction models and diagnostic tests t...
This paper reports on the findings of a small-scale research project investigating the views of soci...
To recognise the important factors needed to make a judgement about a patient’s stage of disease and...
Decision-analytic models are frequently used to evaluate the relative costs and benefits of alternat...
Abstract: Decision analysis has become an increasingly popular decision-making tool with a multitude...
Welcome to the world of decision analysis. This preface will introduce you to the purpose and organi...
Good analysis alone may not achieve the goals of decision analysis (DA) engagements. Good communicat...