In this article, frequently encountered statistical questions and methods used both in research and in daily practice are described and explained. First, the concepts of variability and uncertainty are explained and illustrated. From this, it is explained how variation can be quantified and how the limits of what can be expected as a result of normal variation are determined both for continuous and binary data. Based on the basic concepts of probability theory, an introduction to risk assessment was given. Finally it is explained how to test whether individual observations lie outside the normal range or the test whether populations are different from each other. All these are carried out avoiding theory and formulas as much as possible and...
Variation is present in all measured data, due to variation between individuals (biological variatio...
Variability among individual animals in an experiment leads to problems in interpreting the results....
Typical statistical analysis of epidemiologic data captures uncertainty due to random sampling varia...
Two conditions are sufficient to indicate the need for risk-sensitive, adaptive analysis: (i) the ou...
Two conditions are sufficient to indicate the need for risk-sensitive, adaptive analysis: (i) the ou...
We investigate the procedure of checking for overlap between confidence intervals or standard error ...
Women tend to repeat reproductive outcomes, with past history of an adverse outcome being associated...
In the fields of public health and medicine, many studies are interested in analyzing a count of eve...
International audienceIn environmental science, the variability of biological responses in natural o...
We show how a Bayesian analysis of a fertility model incorporating many of the previously suggested ...
Comparing predicted breeding values (BV) among animals in different management units (e.g. flocks, h...
Women tend to repeat reproductive outcomes, with past history of an adverse outcome being associated...
Comparing predicted breeding values (BV) among animals in different management units (e.g. flocks, ...
This paper reports the results of an empirical investigation of sampling fluctuations in age specifi...
<p>Potential explanatory variables calculated for each risk period in a study investigating the asso...
Variation is present in all measured data, due to variation between individuals (biological variatio...
Variability among individual animals in an experiment leads to problems in interpreting the results....
Typical statistical analysis of epidemiologic data captures uncertainty due to random sampling varia...
Two conditions are sufficient to indicate the need for risk-sensitive, adaptive analysis: (i) the ou...
Two conditions are sufficient to indicate the need for risk-sensitive, adaptive analysis: (i) the ou...
We investigate the procedure of checking for overlap between confidence intervals or standard error ...
Women tend to repeat reproductive outcomes, with past history of an adverse outcome being associated...
In the fields of public health and medicine, many studies are interested in analyzing a count of eve...
International audienceIn environmental science, the variability of biological responses in natural o...
We show how a Bayesian analysis of a fertility model incorporating many of the previously suggested ...
Comparing predicted breeding values (BV) among animals in different management units (e.g. flocks, h...
Women tend to repeat reproductive outcomes, with past history of an adverse outcome being associated...
Comparing predicted breeding values (BV) among animals in different management units (e.g. flocks, ...
This paper reports the results of an empirical investigation of sampling fluctuations in age specifi...
<p>Potential explanatory variables calculated for each risk period in a study investigating the asso...
Variation is present in all measured data, due to variation between individuals (biological variatio...
Variability among individual animals in an experiment leads to problems in interpreting the results....
Typical statistical analysis of epidemiologic data captures uncertainty due to random sampling varia...