Skill UI

A comprehensive guide and checklist for ensuring that figures and tables in medical manuscripts comply with the rigorous reporting standards of JAMA. It covers mandatory elements such as CONSORT flow diagrams, reporting effect sizes with 95% CIs, structuring baseline characteristics, and avoiding statistical misrepresentation (e.g., using p-values instead of CIs).

This guide provides best practices for structuring tables and figures in academic econometrics manuscripts, especially when adhering to strict journal page limits. It advises researchers on exhibit triage—determining which core findings belong in the main text versus supplementary online appendices—and guarantees reproducibility by detailing required note components and generating scripts.

A comprehensive guide detailing best practices for creating clear, rigorous, and publication-ready tables and figures for advanced statistical or econometric manuscripts. It ensures that complex results (such as size-power curves, bias/RMSE comparisons, and empirical payoffs) are legible to both expert statisticians and applied economists, improving presentation without altering the underlying results.

A comprehensive guide for structuring robust, peer-review-proof experiments for journals focusing on Computer Graphics and CAD. It guides users on moving from research questions to actionable evidence, covering geometric metrics (Chamfer, Hausdorff), rendering quality, ablation studies, and mandatory visual evidence presentation to ensure scientific rigor.

This guide provides a comprehensive checklist and style manual for authors submitting papers to the Journal of Computer-Aided Design & Computer Graphics (JCAD&CG). It covers all necessary formatting details, including the four elements of a reportative abstract, the problem-gap-contribution structure, adherence to GB/T 7714 citation standards, and specific rules for graphical evidence presentation in CAD and graphics research.

A comprehensive guide for calibrating the balance between coverage and emphasis when conducting literature surveys (JEL surveys). It provides guidelines for structuring the corpus by tiers, ensuring fair representation of all academic schools and controversies, and avoiding self-promotion bias.

A comprehensive guide detailing best practices for constructing rigorous and legible tables and figures for health economics manuscripts, particularly for the Journal of Health Economics (JHE). It covers presentation requirements for main policy estimates, identification figures (e.g., event studies, RD plots), and descriptive institutional exhibits, ensuring that the health setting and causal effects are immediately apparent to expert readers.

This comprehensive guide provides meticulous standards for presenting quantitative empirical results, particularly for academic journals like JHR. It covers the structure for main estimates, design diagnostics (pre-trends, balance), reconciliation tables, and organizing the online appendix. Learn how to maximize clarity and impact while adhering to strict page limits.

This guide assists in creating high-quality, journal-ready exhibits (tables and figures) specifically for the Journal of International Business Studies (JIBS). It covers complex topics like cross-country descriptives, measurement-invariance tests, main results presentation, and cross-level interactions. The focus is on ensuring statistical rigor, strict adherence to journal style, and effective word count management for cross-border academic publications.

This skill guides authors in building and auditing tables and figures for submissions to the Journal of International Economics (JIE). It emphasizes that all exhibits must be self-contained and immediately understandable by a specialized referee. Focus areas include gravity tables, event-study plots, structural counterfactual charts, and how to report economic magnitudes (e.g., elasticity) rather than just statistical significance.

This guide helps researchers adhere to the strict submission guidelines of the Journal of Monetary Economics (JME). It details how to manage and optimize the presentation of empirical evidence, ensuring the manuscript stays within the combined limit of 10 tables and figures, and under the 40-page length cap. It guides the decision of which exhibits belong in the main body versus the online supplementary appendix.

A comprehensive guide for presenting complex statistical evidence in academic manuscripts, specifically tailored for journals like JAP. It covers APA 7th-edition standards for creating self-contained exhibits, including correlation matrices, CFA/SEM path diagrams, multilevel modeling (HLM) results, and meta-analytic plots. Emphasis is placed on reporting effect sizes, confidence intervals, and reliabilities.