Multi-treatment meta analyses
Meta analysis is commonly used to combine information from multiple independent experiments or studies. When done so in a statistically robust way, this can increase the reliability, precision and generalizability of the results.
Command language menus
If you’re comfortable writing code, you don’t need to use Genstat’s menus. By learning some of the command language, you can write your own scripts, carry out non-standard tasks, and unlock the full power of Genstat!
Selecting your REML fixed model
A major focus of the 21st Edition of Genstat is the new menus and procedures to help determine the appropriate fixed terms to include in REML analysis. As REML arose out of breeding trials, where the main interest is in obtaining BLUPs for estimating genetic merit, the focus has traditionally been on the random model. In Genstat 21, you can now explore the fixed model by adding and dropping terms, just as you would in ordinary regression.
Roger Payne’s AASC talk – detailed analysis of data set from 17:13.
The referenced research paper.
BLUPS for ANOVA
Want to calculate and save the BLUPs for the block effects in your ANOVA? – well, now you can! Previously you could only get BLUPs for block effects from the REML analysis. In Genstat 21, you can get them from an ANOVA analysis too.