Quantitative laboratory measurements are a large part of the data collected in a clinical trial and the analysis of this type of data is often challenging. The use of tolerance limits and its variations, which describe the concentration and extremes of a distribution, provide useful methods to evaluate laboratory data. The theory of tolerance limits for the gaussian distribution and any unknown continuous distribution ispresented. Tolerance limits provide adequate data reduction while still allowing appropriate interpretation of the results and are useful for evaluating individual patient responses. Examples of the utility of determining limits in which a chosen proportion of the data is likely to be concentrated for interpretation purposes...
Summary: The relationship between the concentration of the analyte and the imprecision of an analyti...
[[abstract]]In assessing biosimilarity between two products, the question to ask is always "How simi...
The tolerance package for R provides a set of functions for estimating and plotting tolerance limits...
Assessment of the variability in population values plays an important role in the analysis of scient...
In a dose finding study the aim is to attain a safe and efficient drug therapy in a certain populati...
Statistical tolerance limits are estimates of large (or small) quantiles of a distribution, quantiti...
Tolerance intervals have been recommended for simultaneously validating both the accuracy and precis...
Tolerance intervals have been recommended for simultaneously validating both the accuracy and precis...
This paper proposes a tolerance bound approach for determining sample sizes. With this new methodolo...
Taking into account the uncertainty of measurement when assessing compliance of a given sample with ...
This paper deals with some basic statistical issues arising from biological monitoring. Data descrip...
Tolerance limits are those limits that contain a certain proportion of the distribution of a charact...
Determination of limit of detection (LOD) values in a forensic laboratory serves a fundamental foren...
Statistical tolerance interval is another type of interval estimator used for making statistical in...
In assessing biosimilarity between two products, the question to ask is always “How similar is simil...
Summary: The relationship between the concentration of the analyte and the imprecision of an analyti...
[[abstract]]In assessing biosimilarity between two products, the question to ask is always "How simi...
The tolerance package for R provides a set of functions for estimating and plotting tolerance limits...
Assessment of the variability in population values plays an important role in the analysis of scient...
In a dose finding study the aim is to attain a safe and efficient drug therapy in a certain populati...
Statistical tolerance limits are estimates of large (or small) quantiles of a distribution, quantiti...
Tolerance intervals have been recommended for simultaneously validating both the accuracy and precis...
Tolerance intervals have been recommended for simultaneously validating both the accuracy and precis...
This paper proposes a tolerance bound approach for determining sample sizes. With this new methodolo...
Taking into account the uncertainty of measurement when assessing compliance of a given sample with ...
This paper deals with some basic statistical issues arising from biological monitoring. Data descrip...
Tolerance limits are those limits that contain a certain proportion of the distribution of a charact...
Determination of limit of detection (LOD) values in a forensic laboratory serves a fundamental foren...
Statistical tolerance interval is another type of interval estimator used for making statistical in...
In assessing biosimilarity between two products, the question to ask is always “How similar is simil...
Summary: The relationship between the concentration of the analyte and the imprecision of an analyti...
[[abstract]]In assessing biosimilarity between two products, the question to ask is always "How simi...
The tolerance package for R provides a set of functions for estimating and plotting tolerance limits...