Add to ORKGThe logarithmic (log) transformation is a simple yet controversial step in the analysis of positive continuous data measured on an interval scale. Situations where a log transformation is indicated will be reviewed. This paper contends that the log transformation should not be classed with other transformations as it has particular advantages. Problems with using the data themselves to decide whether or not to transform will be discussed. It is recommended that log transformed analyses should frequently be preferred to untrans-formed analyses and that careful consideration should be given to use of a log transformation at the protocol design stage. 1
Abstract. For forecasting and economic analysis many variables are used in logarithms (logs). In tim...
Performance, satisfaction and safety indicators are commonly measured on a percentage scale. Such in...
Purpose of review—We discuss two data analysis issues for studies that use binary clinical outcomes ...
Data transformations are commonly used tools that can serve many functions in quantitative..analysis...
Introduction Data transformations such as replacing a variable by its logarithm or by its square-roo...
The Logarithmic Transformation is widely used to address the skewness and assumes the normality assu...
Background: Logarithmic transformation is recommended in method comparison or commutability studies ...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series a...
Journal of the American Society for Information Science and Technology 57(11) (2006) 1470-1486Publis...
Data transformations are commonly used tools that can serve many functions in quantitative analysis ...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series ...
It is not uncommon to have situations where highly skewed data appear in research investigations. In...
Cointegration, common cycle, and related tests statistics are often constructed using logged data, e...
Data transformations are commonly used tools in quantitative analysis of data. However, data transfo...
1. Ecological count data (e.g. number of individuals or species) are often log-transformed to satisf...
Abstract. For forecasting and economic analysis many variables are used in logarithms (logs). In tim...
Performance, satisfaction and safety indicators are commonly measured on a percentage scale. Such in...
Purpose of review—We discuss two data analysis issues for studies that use binary clinical outcomes ...
Data transformations are commonly used tools that can serve many functions in quantitative..analysis...
Introduction Data transformations such as replacing a variable by its logarithm or by its square-roo...
The Logarithmic Transformation is widely used to address the skewness and assumes the normality assu...
Background: Logarithmic transformation is recommended in method comparison or commutability studies ...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series a...
Journal of the American Society for Information Science and Technology 57(11) (2006) 1470-1486Publis...
Data transformations are commonly used tools that can serve many functions in quantitative analysis ...
For forecasting and economic analysis many variables are used in logarithms (logs). In time series ...
It is not uncommon to have situations where highly skewed data appear in research investigations. In...
Cointegration, common cycle, and related tests statistics are often constructed using logged data, e...
Data transformations are commonly used tools in quantitative analysis of data. However, data transfo...
1. Ecological count data (e.g. number of individuals or species) are often log-transformed to satisf...
Abstract. For forecasting and economic analysis many variables are used in logarithms (logs). In tim...
Performance, satisfaction and safety indicators are commonly measured on a percentage scale. Such in...
Purpose of review—We discuss two data analysis issues for studies that use binary clinical outcomes ...