Skill UI

This comprehensive guide helps researchers evaluate whether a clinical or health-services study is appropriate for publication in JAMA Internal Medicine. It details the journal's high bar for methodological rigor, including requirements for randomized trials (CONSORT), observational studies (STROBE), and systematic reviews (PRISMA). It covers everything from study design and statistical reporting to addressing potential desk-reject triggers, ensuring authors submit high-quality, impactful research.

A comprehensive guide designed to help researchers assess the suitability and structure of clinical neurology studies for submission to JAMA Neurology. It covers scope fit, evidence requirements (e.g., validated endpoints, adequate power), mandated reporting guidelines (CONSORT, STROBE, PRISMA), and specific journal house style and submission checklists. This is a venue-fit aid, not clinical advice.

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 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 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 to designing highly defensible and causal research studies for top-tier finance journals, such as the Journal of Financial and Quantitative Analysis (JFQA). It covers advanced econometric methods for corporate finance, asset pricing, and policy shocks, including Fixed Effects, Staggered Difference-in-Differences (DID), Instrumental Variables (IV), and Regression Discontinuity Design (RDD). Focuses on addressing endogeneity, reporting economic magnitude, and ensuring robust inference.

A comprehensive guide for conducting and reporting rigorous statistical analysis for academic marketing manuscripts, particularly tailored for the Journal of Marketing (JM) standards. It covers selecting appropriate estimators for various designs (e.g., panel, choice, field experiments), managing identification, testing robustness, and adhering to the mandatory reporting of p-values, standard errors, and managerial effect sizes. Also covers data replication and advanced econometric techniques.

A comprehensive guide to constructing rigorous empirical datasets for academic papers in finance and banking. It covers best practices for handling complex data sources (e.g., bank micro-data, central bank reports, macro series), addressing measurement biases, and ensuring full replicability, adhering to the standards of top-tier economic journals. Focus areas include merger tracking, regime transitions, and variable definition consistency.

This skill acts as an orchestrator for manuscripts submitted to the Journal of Marriage and Family (JMF). It guides authors through the entire academic lifecycle, from initial idea selection to final submission or revision. It determines the appropriate stage (e.g., literature positioning, research design, data analysis) and the required format (full article or brief report), ensuring the contribution maintains a strong focus on family-science topics.

A comprehensive guide for researchers conducting advanced data analysis and reporting for top marketing journals. It details selecting the appropriate econometric estimator (e.g., ANOVA, DiD, IV, mediation models) based on the study design (experimental, observational, panel). It emphasizes meeting rigorous journal mandates, including exact p-values, standard errors, and effect sizes, and linking statistical findings to practical managerial claims.

This guide outlines strict guidelines for formatting tables and figures required for submission to the Journal of Marketing Research (JMR). It details managing the crucial 50-page manuscript limit versus the Web Appendix, ensuring all statistics adhere to AMA style (e.g., reporting exact p-values, standard errors, and effect sizes). It is designed for authors who need to transform raw results into publication-ready, self-contained, and compliant academic exhibits.

A comprehensive guide for designing rigorous Monte Carlo simulations and empirical illustrations for methodological papers, particularly in econometrics. It details how to stress assumptions, report necessary metrics (size, power, bias), and structure the evidence to prove a method's theoretical validity and practical utility.