Analyze data and publish research findings.

I have a dataset and draft results that must become a clear research paper for submission. Combine the results, methods and discussion into a single draft that tells the story: state the main finding in one sentence, show the key table and figure with captions, make the methods reproducible enough for a peer reviewer, and end with three concise implications for practice. Check for missing citations and flag any numbers that don’t match the tables. Use my author name and target journal guidance before sending to coauthors.

Before I circulate this draft to collaborators, make the main finding impossible to miss, surface the effect size and confidence interval at the top of the abstract, move complex statistical detail to a methods appendix, label the primary outcome consistently across text and tables, and list three likely reviewer objections with one-sentence responses ready to paste into rebuttals.

A reviewer has emailed that our multivariable model lacks detail; they copied a line of the results and asked which covariates were included and why. I wrote the methods quickly and fear we omitted a confounder. Tell me the most likely omissions given our observational design, how to check the raw analysis scripts, and the minimal wording that will satisfy the reviewer without overcommitting to additional analyses.

Over several papers we keep getting reviewer comments that methods are vague and effect sizes are buried. Help me change the habit: recommend a simple, repeatable pre-submission checklist and a short structure for every paper that forces the single-sentence finding, the exact primary outcome, and where to put full model specs so reviewers stop asking for them.