Skill UI

This skill serves as a comprehensive guide for researchers to evaluate their academic manuscripts for suitability in Issues in Agricultural Economy. It covers the journal's precise scope, preferred methodologies (e.g., DID, micro-data), submission policies (blind review, fees), and common rejection pitfalls. It provides actionable advice on structuring and refining the manuscript to meet the rigorous standards of core Chinese academic journals focusing on rural and agricultural policies.

A comprehensive framework for conducting rigorous empirical data analysis required for top-tier academic journals. It guides users through building transparent archival samples, specifying appropriate panel data estimators (like firm/year fixed effects), ensuring correct standard error clustering, and executing sophisticated identification strategies (e.g., Difference-in-Differences, Instrumental Variables). Essential for addressing endogeneity and passing deep reviewer scrutiny.

This guide outlines the rigorous standards for preparing empirical tables and figures for top-tier academic journals, such as the Journal of Accounting and Economics (JAE). It covers the entire research workflow, including variable definition, sample construction, descriptive statistics, correlation matrices, advanced regressions, and event studies. The goal is to ensure all exhibits are self-contained, reproducible, and meet strict academic reviewer expectations.

Comprehensive guidelines for preparing and reporting complex empirical evidence across various methodologies (SEM, econometrics, design science, qualitative). This guide ensures results meet the high academic standards of top-tier journals by emphasizing theoretical traceability, statistical rigor, and required data transparency, including full correlation/covariance matrices.

A comprehensive guide detailing best practices for creating self-contained, professional, and publication-ready exhibits (tables, figures, matrices) for scholarly manuscripts. It emphasizes making the body text standalone, adhering to journal-specific styles (e.g., APA, JAIS), and presenting complex data (like SEM results) clearly for rigorous peer review.

This skill provides a comprehensive guide for authors targeting JAMA Cardiology. It helps authors evaluate the suitability of cardiovascular trials, outcomes, and registry studies against the journal's high standards. It covers required endpoints, reporting guidelines (e.g., CONSORT, STROBE), house style, and submission prerequisites, aiding in optimizing manuscript fit before submission.

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 skill provides a comprehensive guide for authors submitting clinical, translational, or epidemiological oncology studies to JAMA Oncology. It covers venue fit assessment, required methodological rigor (e.g., RCTs, RWE, biomarker validation), mandatory reporting guidelines (CONSORT, STROBE, PRISMA), and adherence to the journal's specific house style and submission checklist. It is a crucial pre-submission aid, ensuring the research addresses a clinically meaningful, decision-relevant question.

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 structuring and validating empirical research designs (Survey/SEM, Secondary Data, Experiments, Meta-analysis) intended for high-impact journals. It addresses critical methodological issues such as construct validity, endogeneity control, robust identification strategies, and ensuring overall rigor across diverse academic genres.