This is the fourth in a series of articles in this journal on the use of statistics in medicine. In the previous issue, we described how to choose an appropriate statistical test. In this article, we consider this further and discuss how to inter-pret the results. More on choosing an appropriate statistical test Deciding which statistical test to use to analyse a set of data depends on the type of data (inter-val or categorical, paired vs unpaired) being analysed and whether or not the data are nor-mally distributed. Interpretation of the results of statistical analysis relies on an appreciation and consideration of the null hypothesis
This paper is a practical guide to the essentials of statistical analysis and reporting of randomize...
Various propositions have been made to improve the statistical quality of medical journals: using st...
Two key concepts that are used frequently in statistical applications are tests of hypothesis and di...
This is the fourth in a series of articles in this journal on the use of statistics in medicine. In ...
When the researchers evaluate the results of experiment by using statistical methods, the most impor...
noMedical statistics is a vast and ever-growing field of academic endeavour, with direct application...
Majority of the population of today poorly understand the implication of statistics in the field of ...
Statistics is mathematical science dealing with the collection, analysis, interpretation, and presen...
The statistical analysis can be divided in two main components: descriptive analysis and inferential...
Analysis of variance is a popular and important method to evaluate the experimental results. In case...
To attend the first purpose of medical research, the selection of appropriate statistical method, th...
P values come from statistical tests used for testing the null hypothesis (Ho) which states that the...
When dealing with statistical test hypothesis, one of the most common problems to deal with relates ...
We present an individual case of required statistical analysis in medical studies. We explain in det...
The importance of statistical methods has been gradually recognized in the field of medical science....
This paper is a practical guide to the essentials of statistical analysis and reporting of randomize...
Various propositions have been made to improve the statistical quality of medical journals: using st...
Two key concepts that are used frequently in statistical applications are tests of hypothesis and di...
This is the fourth in a series of articles in this journal on the use of statistics in medicine. In ...
When the researchers evaluate the results of experiment by using statistical methods, the most impor...
noMedical statistics is a vast and ever-growing field of academic endeavour, with direct application...
Majority of the population of today poorly understand the implication of statistics in the field of ...
Statistics is mathematical science dealing with the collection, analysis, interpretation, and presen...
The statistical analysis can be divided in two main components: descriptive analysis and inferential...
Analysis of variance is a popular and important method to evaluate the experimental results. In case...
To attend the first purpose of medical research, the selection of appropriate statistical method, th...
P values come from statistical tests used for testing the null hypothesis (Ho) which states that the...
When dealing with statistical test hypothesis, one of the most common problems to deal with relates ...
We present an individual case of required statistical analysis in medical studies. We explain in det...
The importance of statistical methods has been gradually recognized in the field of medical science....
This paper is a practical guide to the essentials of statistical analysis and reporting of randomize...
Various propositions have been made to improve the statistical quality of medical journals: using st...
Two key concepts that are used frequently in statistical applications are tests of hypothesis and di...