#### 2020

#### 2019

- "Nested" random factors in mixed (multilevel or hierarchical) models
- Estimate of marginal ("main") effects instead of ANOVA for factorial experiments

##### November

- Can a linear model reproduce a Welch t-test?
- Normalization results in regression to the mean and inflated Type I error conditional on the reference values
- A comment on the novel transformation of the response in " Senolytics decrease senescent cells in humans: Preliminary report from a clinical trial of Dasatinib plus Quercetin in individuals with diabetic kidney disease"

##### October

- What is the consequence of a Shapiro-Wilk test-of-normality filter on Type I error and Power?

##### August

- What is the bias in the estimation of an effect given an omitted interaction term?
- Is the power to test an interaction effect less than that for a main effect?

##### July

- Analyze the mean (or median) and not the max response
- Paired t-test as a special case of linear model and hierarchical (linear mixed) model
- What does cell biology data look like?
- Reanalyzing data from Human Gut Microbiota from Autism Spectrum Disorder Promote Behavioral Symptoms in Mice

##### June

- GLM vs. t-tests vs. non-parametric tests if all we care about is NHST -- Update
- Should we be skeptical of a "large" effect size if p > 0.05?

##### May

#### 2018

- Interaction plots with ggplot2

##### October

- Textbook error 101 -- A low p-value for the full model does not mean that the model is a good predictor of the response
- A simple ggplot of some measure against depth

##### September

- Should the model-averaged prediction be computed on the link or response scale in a GLM?
- On model averaging the coefficients of linear models
- An even more compact defense of coefficient model averaging
- Model-averaged coefficients of a GLM

##### May

- On alpha

##### April

- Combining data, distribution summary, model effects, and uncertainty in a single plot
- What is the range of reasonable P-values given a two standard error difference in means?
- Bias in pre-post designs -- An example from the Turnbaugh et al (2006) mouse fecal transplant study
- What is an R doodle?