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Hi everyone, thanks for the book. I only skimmed bits and pieces but it reads well and is skillfully presented.
Chapter 9 on propensity score evaluation is great. The thematic progression from sampl…
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I was wondering if MIDESP would be able to support covariate adjustment, since covariates like age and sex could completely skew the results. I ran MIDESP for UK Biobank and the QQplots show that the …
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Hi,
I haven't used Python before and am completely new to its world. Can you please help me with the covariate adjustment for my features? I have 70 targets and ~500 features which I want to adjust…
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### Description
Thank you for providing such an efficient tool for analysis. However, I encountered a couple of issues with the Network Analysis module in JASP 0.19.1.0: When I input grouping variab…
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Hi Barak,
Does dacomp supports covariate adjustment, such as age, sex?
Thanks.
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ll_regression_forest and predict.ll_regression_forest give the option to use a "covariance-standardized ridge penalty" in the splitting step (via ll.split.weight.penalty) and / or the prediciton step …
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# The problem:
``` r
library(ergm)
data(florentine)
## Business as dyad covariate for marriage
flomarriage %n% "business" edgecov.business
#> 8
```
``` r
## Consider a subg…
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During data analysis, data is normally imported. During Univariate Analysis, age is used as a covariate to calculate the pre adjustment and post adjustment p values. Why is the pre adjustment p value …
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_Possible follow-up to #327._
Hey Vincent,
Stata's `margins` command has an interesting `vce(unconditional)` option. The essential idea is to account for sampling variation when calculating stan…
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There are no arguments to `make.ds.analysis` that allows the user to specify adjustment terms. I don't know how often users will want to explore models with adjustment terms, so it might not be a big…