Skill UI

A comprehensive guide for authors submitting psychiatric, epidemiological, or neuropsychiatric research to JAMA Psychiatry. It assesses the study's fit, required methodological rigor (e.g., CONSORT, STROBE), and adherence to the journal's specific reporting guidelines and house style. It helps authors re-frame their work to ensure clinical relevance and suitability for publication.

This comprehensive guide maps various study designs (e.g., RCT, Observational, Systematic Review) to mandatory reporting checklists and flow diagrams (such as CONSORT, PRISMA, STROBE, STARD). It ensures researchers meet the rigorous, standardized reporting requirements for top-tier medical journal submissions.

A comprehensive guide for authors preparing medical manuscripts for high-impact journals. It outlines rigorous standards for statistical reporting, emphasizing the use of effect sizes with 95% Confidence Intervals (CIs) over p-values alone. Key topics include pre-specification, intention-to-treat analysis, multiplicity control, handling missing data through imputation, and reporting both relative and absolute effects to ensure maximum statistical rigor and reproducibility.

A comprehensive guide for authors to select, defend, and strengthen the internal validity of clinical study designs (RCT, Cohort, Diagnostic, etc.). It provides detailed safeguards—covering topics like intention-to-treat analysis, confounding control, blinding, and power calculations—to ensure manuscripts meet the rigorous reporting standards of top-tier medical journals like JAMA.

This comprehensive aid helps researchers determine the suitability of their surgical trials, outcomes studies, or perioperative research for JAMA Surgery. It details required scientific rigor, including comparative, patient-centered outcomes, robust risk adjustment, and advanced statistical methods. It also covers specific reporting standards (CONSORT, STROBE, PRISMA) and the current JAMA Network house style, ensuring manuscripts are submission-ready.

A comprehensive guide for empirical marketing researchers on selecting appropriate advanced statistical estimators (SEM, HLM, DiD, etc.) and adhering to rigorous academic reporting standards (APA style, effect sizes, fit indices). Crucially, it guides users on translating complex statistical findings into actionable, managerially relevant insights for journals like JAMS.

This guide details the rigorous standards for creating empirical tables and figures in academic marketing science (JAMS style). It covers building conceptual models, structural path coefficient tables, measurement validity checks, and creating highly actionable 'managerial exhibits' that translate statistical estimates into decision-making insights, ensuring all work is self-contained and adheres to APA guidelines.

A comprehensive guide for drafting and polishing academic manuscripts for the Journal of Applied Econometrics (JAE). This skill ensures adherence to strict house conventions, including writing citation-free 100-word abstracts, structuring quantitative findings, correctly reporting estimated coefficients with standard errors, and managing front matter (keywords, acknowledgments, COI statements).

A comprehensive guide for executing and reporting the full empirical robustness battery required by top accounting journals. It covers modern econometric techniques like standard error clustering, advanced Difference-in-Differences (DiD) estimators for staggered timing, Regression Discontinuity (RD) diagnostics, and Instrumental Variables (IV/2SLS). The guide emphasizes rigorous validation of accounting constructs, executing multiple sensitivity tests, and ensuring full data-and-code reproducibility for academic publication.

This comprehensive guide details the rigorous submission standards and expectations for the Journal of Accounting Research (JAR). It covers the panel-based editorial structure, crucial checkpoints like conformance and fee gates, and distinct submission pathways such as Registered Reports and the Ray Ball Conference. It helps authors set realistic expectations for the entire academic review lifecycle.

This comprehensive guide provides a structured framework for building and auditing empirical data and estimation pipelines in finance and banking research. It covers data construction from various sources (e.g., CRSP, Call Reports), advanced econometric techniques like fixed effects and winsorization, conducting stress tests (e.g., crisis periods, large banks), and ensuring full reproducibility. It emphasizes reporting results with meaningful economic magnitudes.

A comprehensive guide for authors responding to major or minor revisions for top-tier academic journals, specifically tailored for the Journal of Banking & Finance (JBF) style. It covers triage strategies for referee reports, strengthening empirical identification, improving robustness, structuring point-by-point responses, and drafting a precise, evidence-led rebuttal letter.