I need recommendations for a CEU-bearing course focused on interpreting left-censored contaminant data (MDL/LOQ handling) for PFAS and pesticides in groundwater. I wrapped a 6-hour LC-MS/MS QA/QC module in October and now want training that uses R (NADA2/ROS or survival) to treat non-detects without blunt substitution, ideally with casework on plume delineation bias. Has anyone taken a solid university short course or vendor-neutral program that’s worth the time?
I had good luck with Practical Stats’ “NADA for R” 2‑day course (https://practicalstats.com/training/nada-r) for ROS/KM in R; they issue PDHs/CEUs, though the plume example leans metals/organics rather than PFAS. One tip from doing PFAS plumes: don’t “ND=RL/2” — feed NADA2::cenros the varying RL column and, if you’ve got mixed methods, stratify by lab/method to avoid bias at the toe; would that cover what you’re after?
Quick datapoint: the only CEU course I’ve taken that codes KM/ROS in R is Helsel’s live Practical Stats workshop (Practical Training); it matches your 6‑hour LC‑MS/MS Oct baseline, but the plume bias content is thin. One trick that saved my PFAS delineations was grouping by lab and sampling round before cenros/survreg so shifting MDLs/LOQs didn’t smear gradients — , mixed censoring can undo “no blunt substitution” if you’re not careful. If you want plume‑heavy casework, pair it with ITRC’s PFAS class for CEUs (https://itrcweb.org) and then replicate the scenarios in R.