#statstab #620 Why is the Tukey's IQR not used in the R program?
Thoughts: R has many ways to compute IQR and the default isn't what you'd probably get by hand.
#iqr #rstats #forum #discussion #crossvalidated #tukey #robust #quantile #descriptives

#statstab #620 Why is the Tukey's IQR not used in the R program?
Thoughts: R has many ways to compute IQR and the default isn't what you'd probably get by hand.
#iqr #rstats #forum #discussion #crossvalidated #tukey #robust #quantile #descriptives
#statstab #619 Generalized Linear Models: Linear regression with counts, ratios, binary outcomes and more
Thoughts: Good teaching/learning resource
#glm #education #guide #resources #rstats #r #linearmodel #regression #nonlinear #poisson #count #binomial
#statstab #618 True and false interindividual differences in the physiological response to an intervention
Thoughts: Not all individual participant/data plots show what you think.
#dataviz #plots #variance #variability #randomization #heterogeneity
#statstab #617 Why Adjusted Regression Coefficients Are Less Descriptive Than They Look
Thoughts: Great overview of the "controlling for" issue in multiple regression
#regression #inference #covariates #multivariable #guide #adjustment #causalinference
#statstab #613 Additional caution regarding rules of thumb for variance inflation factors: extending O’Brien to the context of specification error
Thoughts: I'm sure some will have strong opinions on VIF.
#statstab #612 Causal discovery and the problem of psychological interventions
Thoughts: I recall this paper causing a bit of fuss (get it? Causing!).
#causalinference #psychology #inference #effects #interventions #opinion #research
#statstab #611 How to practise Bayesian statistics outside the
Bayesian church: What philosophy for Bayesian statistical modelling?
Thoughts: A comment on the last statstab on the philosophy of Bayesian.