Esearch的动态

Here’s how you can measure interaction effects when running multiple tests: ?? Check the chance of possible interactions with Sample Ratio Mismatch (SRM) Checker from Lukas Vermeer. ?? Segment the data in the same way you would segment traffic sources or device categories and check the outcomes for cross-sectionality. ?? Adjust for multiple tests with ?idák correction. ?? If the number of tested interactions is in the hundreds or more, consider using the Benjamini-Hochberg-Yekutieli False Discovery Rate adjustment—Geogi Georgiev. Do you now immediately need to learn about the corrections and adjustments? Not necessarily. "Generally, these are rigorous ways to address the interaction effects. But also just knowing these effects do hurt detectability level (and if you and your team are ok with this tradeoff), then you take the hit on confidence and move forward”—Ben Labay, Managing Director of Speero.

See how Observe, Inc. used this dashboard to quickly discover that one of the collector components was recently set to a high verbosity logging mode for an investigation and was left in that state. Having debug messages flood the logs for a long time is not very useful. We quickly turned it off which reduced the incoming log volume from that component by ~40% without losing any signal. Learn more from our latest blog post: Observability at Observe – Optimizing Usage and Costs ?? https://lnkd.in/gQPvfuJb

Do you know how to use the new Substance Claimed role indicator in CAS STNext? Register for our Nov. 12 Coffee Lecture to learn how it can help narrow your search results. https://ow.ly/N3wk50TMSmF

Preparing participant indexes –or participant logs– can be simpler and faster than ever. Here's a quick read covering what you need to know. https://lnkd.in/gwcTPmy5

Preparing participant indexes –or participant logs– can be simpler and faster than ever. Here's a quick read covering what you need to know. https://lnkd.in/gwcTPmy5

Verisium PinDown assists in pinpointing the exact code commits responsible for your regression failures. Explore further in this blog post. https://ow.ly/kShf50ST68J

Preparing participant indexes –or participant logs– can be simpler and faster than ever. Here's a quick read covering what you need to know. https://lnkd.in/gwcTPmy5

COMING SOON: DDSmatch Text Alerts! Be sure to update your desired locations on your DDSmatch profile today to prepare for the launch of our text alerts

This week of my blog I've introduced 2 great methods that improves model's accuracy ?? and code implementation of them.

Turn qualitative hunches into quantitative knowledge. Now hunches can become scores and trends with our RevOps solution. Learn how: https://buff.ly/401vHyJ