Purpose: The purpose of this work is to develop statistical approaches for treatment efficiency analysis on a medical case. These methods include the effect evaluation method performed with various preparations in regards to several factors such as the patient‘s blood state and his/her biochemical values. Design/Methodology/Approach: The results of this survey were divided into three groups: the first included the blood biochemistry values before the test, the second — an hour after the test, the the third — two hours after the test. When visually comparing the results of the analyses of the three groups, it was possible to assume that the load of FLC did not significantly affect the biochemistry of the patients' blood. To test this medica...
International audiencePurpose: For nonlinear mixed-effects pharmacometric models, diagnostic approac...
OBJECTIVES: To test the application of statistical methods to detect data fabrication in a clinical ...
Medical data frequently represent multidimensional datasets as investigated factors and clinical and...
Medical scientists often times are faced with the need to choose the right statistical technique for...
Statistical hypotheses testing is one of the basic direction of mathematical statistics the methods ...
The analysis of curves can be claimed to be the core of most scientific ventures. In this dissertati...
Bioequivalence studies are an essential part of the evaluation of generic drugs. The most common in-...
Over recent years many statisticians and researchers have highlighted that statistical inference wou...
Background: In the fields of life sciences, so-called designed studies are used for studying complex...
Abstract: Background: Statistics which help us in arriving at the criterion for such decisions in ...
The application of statistics to the biological and medical sciences is well known, but has perhaps ...
The purpose of this article is to explore the quality assurance methods in carrying out laboratory i...
Many medical specialties have reviewed the drawbacks of statistical methods in medical diagnosis in ...
Although new biostatistical methods are published at a very high rate, many of these developments ar...
Background and objectives: Prognostic models are, among other things, used to provide risk predictio...
International audiencePurpose: For nonlinear mixed-effects pharmacometric models, diagnostic approac...
OBJECTIVES: To test the application of statistical methods to detect data fabrication in a clinical ...
Medical data frequently represent multidimensional datasets as investigated factors and clinical and...
Medical scientists often times are faced with the need to choose the right statistical technique for...
Statistical hypotheses testing is one of the basic direction of mathematical statistics the methods ...
The analysis of curves can be claimed to be the core of most scientific ventures. In this dissertati...
Bioequivalence studies are an essential part of the evaluation of generic drugs. The most common in-...
Over recent years many statisticians and researchers have highlighted that statistical inference wou...
Background: In the fields of life sciences, so-called designed studies are used for studying complex...
Abstract: Background: Statistics which help us in arriving at the criterion for such decisions in ...
The application of statistics to the biological and medical sciences is well known, but has perhaps ...
The purpose of this article is to explore the quality assurance methods in carrying out laboratory i...
Many medical specialties have reviewed the drawbacks of statistical methods in medical diagnosis in ...
Although new biostatistical methods are published at a very high rate, many of these developments ar...
Background and objectives: Prognostic models are, among other things, used to provide risk predictio...
International audiencePurpose: For nonlinear mixed-effects pharmacometric models, diagnostic approac...
OBJECTIVES: To test the application of statistical methods to detect data fabrication in a clinical ...
Medical data frequently represent multidimensional datasets as investigated factors and clinical and...