data analysis

Interpreting Data 101: Power Matters, and We Don’t Talk about It Enough

So far we have covered p-values and confidence intervals in our interpreting data series, two fundamental concepts essential to...

Interpreting Data 101: What is Confounding, and Why Does It Matter?

Note: This is the second post in a series on interpreting scientific data. The first post covers statistical significance and p-values....

Interpreting Data 101: A (Mostly) Math-Free Primer on P-values and Confidence Intervals

Most researchers rely on statistics to provide a measure of certainty about the significance of their results. Statistical analysis...

Common Challenges for Data Analysts Using Sexual Orientation and Gender Identity (SOGI) Data

Sexual minorities are at greater risk for many health outcomes and are frequently the subject of public health research. Data on gender...