Skill UI

This comprehensive guide teaches users how to set up a ClickHouse database environment. It covers creating a MergeTree table, inserting structured event data using TypeScript, and executing essential analytical queries (e.g., counting, grouping, unique user metrics). Ideal for beginners learning OLAP databases, testing connections, or mastering core data warehousing concepts.

A comprehensive methodological guide for conducting exhaustive robustness checks in academic economics manuscripts, particularly for journals requiring high empirical rigor. It provides an exhaustive checklist covering variable replacement, sample window manipulation, advanced identification strategies (like PSM-DID and placebo tests), and crucially, systematically ruling out alternative explanations and confounding factors. Mastering this process is essential for defending research findings against rigorous peer review.

A comprehensive guide for positioning novel research in elite computer vision and AI conferences (e.g., ECCV). It details how to structure the related work section by tracing academic lineage, handling concurrent work, verifying citation hygiene across venues (CVPR, ICCV, ECCV), and transforming simple bibliographies into strong, argumentative prose. Essential for improving novelty visibility.

A comprehensive guide for structuring, auditing, and writing mathematically rigorous proofs for advanced academic papers, particularly in econometrics and statistics. It covers everything from defining assumptions and stating self-contained theorems to applying advanced proof techniques (e.g., fixed-point theorems, CLT). Use this when your central result requires impeccable rigor and completeness for top-tier publication.

A comprehensive guide for academic researchers on structuring the 'Data and Sample' section of manuscripts for high-impact journals. It details requirements for database naming, variable definition using calculation formulas, descriptive statistics reporting (including winzorization and quantiles), and establishing full, reproducible sample selection trails. Essential for ensuring methodological rigor and passing peer review.

This comprehensive guide provides rigorous standards for formatting tables and figures for high-impact academic journals (e.g., Economic Research). It covers best practices including three-line table styles, variable definition structures, data source documentation, and figure aesthetics (DPI, color). Essential for ensuring submitted manuscripts meet professional publishing quality.

This guide details the specialized review mechanics for top data mining conferences like ICDM. It covers the triple-blind process, the unique Accept-as-Short outcome, and the no-rebuttal posture. Learn how to structure your paper and interpret complex decision packets to maximize acceptance chances.

A comprehensive methodological guide detailing how to design rigorous, publishable empirical or analytical studies for top-tier accounting and economics journals (like JAE). It focuses heavily on achieving causal identification by mastering techniques such as Difference-in-Differences (DiD), Instrumental Variables (IV), Regression Discontinuity (RDD), and event studies, ensuring the study design credibly supports the economic prediction.

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.

This guide details best practices for rigorous statistical reporting in clinical trials, following guidelines from top medical journals like NEJM. It emphasizes using confidence intervals (CIs) over bare P-values, defining primary analysis populations (ITT), controlling for multiplicity, and reporting absolute risks (NNT). It helps researchers ensure their findings are statistically robust, transparent, and defensible.

This guide helps researchers determine if their paper constitutes a genuine methodological contribution suitable for SMR. It teaches authors to distinguish between purely applied analyses and theoretical breakthroughs by mastering three modes: Developing new methods, Evaluating existing methods, or Critically assessing assumptions. The core goal is ensuring the method itself is the primary takeaway, not the substantive finding.