
IUCr journals news
Data merging statistics for assessing whether to omit measured intensities
Acta Cryst. (2013). D69, 1204-1214 (http://doi.org/nsn); 1215-1222 (http://doi.org/nsp)
![[Statistics]](https://www.iucr.org/__data/assets/image/0008/83357/ActaD.jpg)
These papers highlight again the half-dataset correlation coefficient CC1/2 as a robust statistic for judging whether to include data to a higher resolution or from other crystals. They show that useful information extends beyond the cutoff point suggested by criteria based on Rmerge, which is inappropriate for this purpose. Hard trimming of high-resolution data, omitting useful information, is unlikely to improve the final model, so premature data truncation is a mistake.
P. R. Evans and G. N. Murshudov; K. Diederichs and P. A. Karplus