Biostatistics
What is an estimator?
An example for a point estimator is the arithmetic mean when trying to find the mean of a population. A point estimator is used to
Clinical Research Insights
An example for a point estimator is the arithmetic mean when trying to find the mean of a population. A point estimator is used to
The uniform distribution is probably the simplest of all probability distributions. It is used for data, where all outcomes within a predefined interval have the
The Poisson distribution is modelling the number of events within a defined time interval or area. For example, counting variables such as the recruitment for
If an outcome variable that can be specified in two response possibilities only, data can be analyzed as binary based on a binomial distribution, where each observation of a defined number of “experiments” represents one of the two outcomes, and the probability of success is the same for each observation.
In this part of our blog series accompanying our #video #series “5 Minutes Statistics for Clinical Trials” we explain what a #binomial #distribution reflects and what are its characteristics.
The normal distribution or Gauß distribution is called normal, as it is seen as the ideal case of a distribution. It is showing the distribution
The correlation coefficient (r) is a specific measure that quantifies the strength of a linear statistical relationship between two variables, as well as its direction.
Cross tables are also known as contingency or multidimensional tables. Large amounts of data can be summarized in a structured way and possible relationships between
In clinical studies usually a large number of data is generated. The challenging part is then to present the data in a structured and condensed
Descriptive statistics present a good first overview of the data. The frequency of occurrence, as part of descriptive statistics, provides information that is easy to
When presenting the data descriptively, the distribution of single variables can include the following parameters: Scatter parameters such as the mean, median, and mode; dispersion
