This is the fifth article of a series on fundamental concepts in biostatistics and research. In this article, the author reviews the fundamental concepts in diagnostic testing, prior probability and predictive value, and how they relate to the concept of high-value care. The topics are discussed in common language with a minimum of jargon and mathematics. Emphasis is given to conceptual understanding. A companion article preceding this one focused on sensitivity and specificity
In this article in our series on common pitfalls in statistical analysis, we look at some of the att...
We earlier defined biostatistics as the science of management of uncertainties in health and disease...
Objectives: Test performance is conventionally expressed by gain in diagnostic certainty. We propose...
Two key concepts that are used frequently in statistical applications are tests of hypothesis and di...
Healthcare professionals make decisions in a context of uncertainty. When making a diagnosis, releva...
Establishing an accurate diagnosis is crucial in everyday clinical practice. It forms the starting p...
Sponsorships or competing interests that may be relevant to content are dis-closed at the end of thi...
To use a diagnostic test effectively and consistently in their practice, clinicians need to know how...
Item does not contain fulltextOBJECTIVES: Any diagnostic test has an indication area of prior probab...
Diagnostic tests range from the signs and symptoms obtained from the patient’s history and physical ...
Objectives: Any diagnostic test has an indication area of prior probabilities wherein the gain in di...
Background: Patients with infectious diseases often require the use of microbiologic diagnostic test...
In this article in our series on common pitfalls in statistical analysis, we look at some of the att...
We earlier defined biostatistics as the science of management of uncertainties in health and disease...
Objectives: Test performance is conventionally expressed by gain in diagnostic certainty. We propose...
Two key concepts that are used frequently in statistical applications are tests of hypothesis and di...
Healthcare professionals make decisions in a context of uncertainty. When making a diagnosis, releva...
Establishing an accurate diagnosis is crucial in everyday clinical practice. It forms the starting p...
Sponsorships or competing interests that may be relevant to content are dis-closed at the end of thi...
To use a diagnostic test effectively and consistently in their practice, clinicians need to know how...
Item does not contain fulltextOBJECTIVES: Any diagnostic test has an indication area of prior probab...
Diagnostic tests range from the signs and symptoms obtained from the patient’s history and physical ...
Objectives: Any diagnostic test has an indication area of prior probabilities wherein the gain in di...
Background: Patients with infectious diseases often require the use of microbiologic diagnostic test...
In this article in our series on common pitfalls in statistical analysis, we look at some of the att...
We earlier defined biostatistics as the science of management of uncertainties in health and disease...
Objectives: Test performance is conventionally expressed by gain in diagnostic certainty. We propose...