The BMJ

Causal inference is hard, and advanced statistical analysis is not enough

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...
JournalofAccountancy

Using Excel’s What-If Analysis with Data Table for data analysis

Q. You explained Excel’s Scenario Manager in your November 2024 Tech Q&A article and Goal Seek in your December 2024 Tech Q&A article. Can you please explain the final What-If Analysis tool: Data ...
Investopedia

Financial Ratio Analysis: Definition, Types, Examples, and How to Use

Andrew Bloomenthal has 20+ years of editorial experience as a financial journalist and as a financial services marketing writer. David Kindness is a Certified Public Accountant (CPA) and an expert in ...

Analysis Of The Dark Data Phenomenon In Industrial Practice: Why Don’t We Use The Data We Already Have?

Dark data not only generates unnecessary costs, but also increases risks and the potential for losses. Here's what business ...
Investopedia

Vertical Analysis: Definition, How It Works, and Example

Mitchell Grant is a self-taught investor with over 5 years of experience as a financial trader. He is a financial content strategist and creative content editor. Suzanne is a content marketer, writer, ...