The decision tree is a graphical display of a logical sequence of events in the two study arms. The square represents the decision node from which the two competing strategies (molecular method plus blood cultures vs. blood cultures alone) originate. The circles are chance nodes that lead to a particular outcome (e.g. survival or death) beyond the control of our decision. The probabilities assigned to the decision tree are for baseline analysis and are listed in Table 1.</p
<p>Squares represent decision nodes, circles are stochastic events, and triangles are outcomes. The ...
<p>The relative thickness of arrows indicates the current likelihood of the given path representing ...
<p>Decision tree model representing the clinical experiences of patients in the conservative arm of ...
<p>Description of the decision tree options compared. The nodes are points where more than one event...
<p>The decision nodes list the strategies modeled and the chance nodes list the probabilities of dif...
Decision tree for the therapeutic options, with success and failure rates of the patients studied an...
<p>A decision tree has been trained on all empirical p-values obtained from all possible model compa...
<p>A and B represent parts of the decision tree with the same pathways (but with different probabili...
An example of decision tree, which can classify each patient as healthy (non-mesothelioma) or unheal...
<p>Decision tree for cost-effectiveness analysis of different screening strategies among all simulat...
<p>Decision tree for a hypothetical cost-effectiveness analysis comparing sputum smear microscopy (b...
This articles explains the power and limitations of the role of numbers in the use of decision trees...
<p>Decision tree for determining whether the biomarking/telemetry technique could be used in a given...
<p>Branches of the decision tree with a light blue branch are criteria, those with a yellow branch a...
<p>Stepwise decision tree employed as a guide to assess the likelihood that a given sequence was of ...
<p>Squares represent decision nodes, circles are stochastic events, and triangles are outcomes. The ...
<p>The relative thickness of arrows indicates the current likelihood of the given path representing ...
<p>Decision tree model representing the clinical experiences of patients in the conservative arm of ...
<p>Description of the decision tree options compared. The nodes are points where more than one event...
<p>The decision nodes list the strategies modeled and the chance nodes list the probabilities of dif...
Decision tree for the therapeutic options, with success and failure rates of the patients studied an...
<p>A decision tree has been trained on all empirical p-values obtained from all possible model compa...
<p>A and B represent parts of the decision tree with the same pathways (but with different probabili...
An example of decision tree, which can classify each patient as healthy (non-mesothelioma) or unheal...
<p>Decision tree for cost-effectiveness analysis of different screening strategies among all simulat...
<p>Decision tree for a hypothetical cost-effectiveness analysis comparing sputum smear microscopy (b...
This articles explains the power and limitations of the role of numbers in the use of decision trees...
<p>Decision tree for determining whether the biomarking/telemetry technique could be used in a given...
<p>Branches of the decision tree with a light blue branch are criteria, those with a yellow branch a...
<p>Stepwise decision tree employed as a guide to assess the likelihood that a given sequence was of ...
<p>Squares represent decision nodes, circles are stochastic events, and triangles are outcomes. The ...
<p>The relative thickness of arrows indicates the current likelihood of the given path representing ...
<p>Decision tree model representing the clinical experiences of patients in the conservative arm of ...