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Hello,
I am trying your package and I have a question about the estimation of n.sv.
I see you recommend to calculate the n.sv on the y Y.r matrix of residuals after regression of the known confoun…
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In addition to gene expression, we probably should include other information on samples. This discussion will focus on identifying potential covariates and evaluating whether they make sense to includ…
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**Survey:**
- Be careful about collecting IP address, although I note that you used a UBC hosted platform to comply with privacy policy
**EDA**
- Good summary of the data and description.
- In g…
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Dear experts including Joanne,
Hi,
It's inevitable that equipment will change over time in a long follow-up study.
We want to use data for all time points [e.g., baseline, 1st follow-up (scanne…
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I understand the reasoning behind https://github.com/ossf/allstar/blob/main/pkg/policies/outside/outside.go#L70-L71
> // Exemptions are only defined at the org level because they should be made
…
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Normally should just be able to do `title="some longer description..."` for hover help text but React Bootstrap is confounding things it seems.
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We currently use the given argument in three distinct ways for three families of functions:
- generating data
- querying models/pulling data
- setting priors, parameters and restrictions on mode…
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- [ ] Run an analysis of US mail delivery and processing times to predict time till reception of Mail in Ballot based on state, type of postage, and other confounding factors.
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At minimum, check for missing values and outliers. I would also highly recommend checking for correlation of relationship status with other variables in the dataset that might act as confounding varia…
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# Front-door Adjustment | Everyday Is A School Day
Front-door adjustment: a superhero method for handling unobserved confounding by using mediators (if present) to estimate causal effects accurately
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