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Speaking Stata: How to debug, part I

Nicholas J. Cox

Stata Journal2026https://doi.org/10.1177/1536867x261425801article
AJG 2
Weight
0.50

What the paper says

Debugging code can be time-consuming, frustrating, and even dismaying, but it is essential for almost any Stata project that is at all original or challenging. In this column, I provide advice on debugging and a variety of examples, structured around a series of simple tips. Read the help. Look at the code. Note or even create error messages. Debug actively. Simplify the problem first, complicate later. Attend to detail. Try to think like Stata. Try to think like the programmer. Find a Stata friend. Ask the Stata community.

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https://doi.org/https://doi.org/10.1177/1536867x261425801

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@article{nicholas2026,
  title        = {{Speaking Stata: How to debug, part I}},
  author       = {Nicholas J. Cox},
  journal      = {Stata Journal},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/1536867x261425801},
}

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Speaking Stata: How to debug, part I

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.