BS ISO 13528:2022 – TC:2024 Edition
$280.87
Tracked Changes. Statistical methods for use in proficiency testing by interlaboratory comparison
Published By | Publication Date | Number of Pages |
BSI | 2024 | 233 |
PDF Catalog
PDF Pages | PDF Title |
---|---|
130 | National foreword |
135 | Foreword |
136 | 0 Introduction |
139 | 1 Scope 2 Normative references 3 Terms and definitions |
142 | 4 General principles 4.1 General requirements for statistical methods |
143 | 4.2 Basic model 4.3 General approaches for the evaluation of performance |
144 | 5 Guidelines for the statistical design of proficiency testing schemes 5.1 Introduction to the statistical design of proficiency testing schemes 5.2 Basis of a statistical design |
145 | 5.3 Considerations for the statistical distribution of results |
146 | 5.4 Considerations for small numbers of participants 5.5 Guidelines for choosing the reporting format 5.5.1 General requirements for reporting format |
147 | 5.5.2 Reporting of replicate measurements 5.5.3 Reporting of ‘less than’ or ‘greater than’ a limit (censored data) 5.5.4 Number of significant digits |
148 | 6 Guidelines for the initial review of proficiency testing items and results 6.1 Homogeneity and stability of proficiency test items |
149 | 6.2 Considerations for different measurement methods 6.3 Blunder removal |
150 | 6.4 Visual review of data 6.5 Robust statistical methods |
151 | 6.6 Outlier techniques for individual results |
152 | 7 Determination of the assigned value and its standard uncertainty 7.1 Choice of method of determining the assigned value 7.2 Determining the uncertainty of the assigned value |
153 | 7.3 Formulation |
154 | 7.4 Certified reference material 7.5 Results from one laboratory |
155 | 7.6 Consensus value from expert laboratories |
156 | 7.7 Consensus value from participant results |
157 | 7.8 Comparison of the assigned value with an independent reference value |
158 | 8 Determination of criteria for evaluation of performance 8.1 Approaches for determining evaluation criteria |
159 | 8.2 By perception of experts 8.3 By experience from previous rounds of a proficiency testing scheme 8.4 By use of a general model |
160 | 8.5 Using the repeatability and reproducibility standard deviations from a previous collaborative study of precision of a measurement method 8.6 From data obtained in the same round of a proficiency testing scheme |
161 | 8.7 Monitoring interlaboratory agreement |
162 | 9 Calculation of performance statistics 9.1 General considerations for determining performance 9.2 Limiting the uncertainty of the assigned value |
163 | 9.3 Estimates of deviation (measurement error) |
164 | 9.4 z scores |
165 | 9.5 z′ scores |
166 | 9.6 Zeta scores (ζ) |
167 | 9.7 En scores |
168 | 9.8 Evaluation of participant uncertainties in testing |
169 | 9.9 Combined performance scores 10 Graphical methods for describing performance scores 10.1 Application of graphical methods |
170 | 10.2 Histograms of results or performance scores 10.3 Kernel density plots |
172 | 10.4 Bar-plots of standardized performance scores 10.5 Youden plot |
173 | 10.6 Plots of repeatability standard deviations |
174 | 10.7 Split samples 10.8 Graphical methods for combining performance scores over several rounds of a proficiency testing scheme |
175 | 11 Design and analysis of qualitative proficiency testing schemes (including nominal and ordinal properties) 11.1 Types of qualitative data |
176 | 11.2 Statistical design 11.3 Assigned values for qualitative proficiency testing schemes |
178 | 11.4 Performance evaluation and scoring for qualitative proficiency testing schemes |
180 | Annex A (normative) Symbols |
182 | Annex B (informative) Homogeneity and stability of proficiency test items |
190 | Annex C (informative) Robust analysis |
201 | Annex D (informative) Additional guidance on statistical procedures |
206 | Annex E (informative) Illustrative examples |
229 | Annex F (Informative) Example of computer code for plotting and resampling analysis (“bootstrapping”) of PT results |
230 | Bibliography |