Our recent article was featured on https://t.co/lNK3oN3ns6. Great collaboration with @robertvaleris, Anna Stadelman, Sarah Cusick, and Sandra Safo.
https://t.co/3QV5rEcKnC
@Wjrgo@lisalendway Actually, that is analytical specificity (there is also analytical sensitivity), which is different from diagnostic specificity. The former deals with the capacity of a test to discriminate between analytes, the latter is proportion of true negative individuals classified as such
@Dagmar__Gross @katewbauer @ProfMattFox This resonates a lot with me... They both seemed to me like the two sides of a coin, but this explanation is cristal clear. Thanks
@jenspdx@thewbert You are welcome. I really like that book. In R, I would recommend spatstat package... the help document is quite thorough. https://t.co/lIrKRIcMAw
@VivianHLyons@JerzyEisenGuyot You are right, you would have to write it from scratch. I worked on g-formula for a course on methods for causal inference, but I used R and wrote the programs myself (not in the most efficient way though hehe). I am checking the SAS macro and it is quite impressive.