Two key concepts that are used frequently in statistical applications are tests of hypothesis and diagnostic test evaluation. In this article, the rationale behind the testing of statistical hypotheses and the description of the rare event approach to statistical inference are discussed. Also, the development of diagnostic test evaluation, a technique that is particularly important in statistical applications of a biomedical nature, is presented. In the development of these techniques, the mathematics are minimized and the conceptual framework and logic are emphasized
Certainty is rare in medicine. This is a direct consequence of the individuality of each and every h...
Over the past decade, the introduction and development of new diagnostic techniques have greatly acc...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
Two key concepts that are used frequently in statistical applications are tests of hypothesis and di...
According to evidence-based medicine (EBM), physicians must be able to assess and understand scienti...
In this article in our series on common pitfalls in statistical analysis, we look at some of the att...
When the researchers evaluate the results of experiment by using statistical methods, the most impor...
After more than twenty-five years of research, applications of decision analysis in clinical practic...
Diagnostic performance of a laboratory test is one of the key elements in decision making on diagnos...
Healthcare professionals make decisions in a context of uncertainty. When making a diagnosis, releva...
This is the fifth article of a series on fundamental concepts in biostatistics and research. In this...
Various propositions have been made to improve the statistical quality of medical journals: using st...
This is the fourth in a series of articles in this journal on the use of statistics in medicine. In ...
Statistical hypotheses testing is one of the basic direction of mathematical statistics the methods ...
The role of statistics in medical research starts at the planning stage of a clinical trial or labor...
Certainty is rare in medicine. This is a direct consequence of the individuality of each and every h...
Over the past decade, the introduction and development of new diagnostic techniques have greatly acc...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
Two key concepts that are used frequently in statistical applications are tests of hypothesis and di...
According to evidence-based medicine (EBM), physicians must be able to assess and understand scienti...
In this article in our series on common pitfalls in statistical analysis, we look at some of the att...
When the researchers evaluate the results of experiment by using statistical methods, the most impor...
After more than twenty-five years of research, applications of decision analysis in clinical practic...
Diagnostic performance of a laboratory test is one of the key elements in decision making on diagnos...
Healthcare professionals make decisions in a context of uncertainty. When making a diagnosis, releva...
This is the fifth article of a series on fundamental concepts in biostatistics and research. In this...
Various propositions have been made to improve the statistical quality of medical journals: using st...
This is the fourth in a series of articles in this journal on the use of statistics in medicine. In ...
Statistical hypotheses testing is one of the basic direction of mathematical statistics the methods ...
The role of statistics in medical research starts at the planning stage of a clinical trial or labor...
Certainty is rare in medicine. This is a direct consequence of the individuality of each and every h...
Over the past decade, the introduction and development of new diagnostic techniques have greatly acc...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...