STROBE Methods Writer
Produces a STROBE-compliant draft from study data
STROBE Methods Writer
Produces a STROBE-compliant draft from study data
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Based on your cross-sectional, cohort, or case-control study design; when you enter your participant selection method, variables, sample size rationale, and statistical methods, it produces a complete Methods and Results draft with implicit reference to all 22 items of the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist. It also provides a mapping table at the end showing which paragraph corresponds to which STROBE item — ready to answer a journal's "please complete the STROBE checklist" request. Avoids causal language (uses "is associated with" rather than "causes" for observational studies) and explicitly discusses sources of bias/confounding. Suitable for academics working in epidemiology, public health, and clinical research.
為什麼我們推薦這個技能
An editor’s pick for turning raw observational study details into a publication-ready Methods and Results draft. It stands out by mapping every section to the STROBE checklist while explicitly addressing bias, confounding, participant flow, and appropriately cautious association language.
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研究STROBE/CONSORT Methods-Results Writer
Produces a complete Methods + Results section following the reporting standard that fits your study design (STROBE for observational studies, CONSORT for randomized controlled trials); then audits which checklist items are missing or weakly reported without concealment, and suggests how to complete them. Who it's for: researchers seeking reporting robustness before journal submission and graduate students writing a thesis.
研究Meta-Analysis Full Report Writer
Produces a complete Methods + Results + Limitations text compliant with PRISMA 2020 and the Cochrane Handbook from your meta-analysis statistics (pooled effect size, I², Q, tau², publication bias indicators). Never misinterprets the I² value (including the "percentage of variance" framing); avoids overstated causal language (uses cautious phrasing like "findings are consistent with..." instead of "evidence demonstrates that"). At the end, it also offers at least 3 questions a reviewer might ask along with defense sentences. Suitable for: researchers writing a meta-analysis paper who want to strengthen the methods section before journal submission. What it does not do: it does not perform statistical calculations from raw data (you must already have your R/RevMan/CMA output) — it only converts and interprets your results into academic text.
研究CONSORT 2010 Report Writer
From your randomized controlled trial (RCT) data — randomization method, blinding status, power analysis, CONSORT flow numbers (screened/randomized/allocated/analyzed), ITT/PP analysis approach — it produces a complete Abstract + Methods + Results draft compliant with all 25 items of CONSORT 2010. It never confuses ITT/PP; it checks the consistency of flow diagram numbers (randomized ≥ allocated ≥ followed-up ≥ analyzed). It also pre-identifies at least 4 objections journal reviewers frequently raise (e.g., "why wasn't an ITT analysis reported," "was blinding success tested," "was there outcome switching") and suggests a defense sentence for each. Designed for clinical researchers in medicine/nursing/pharmacy conducting RCTs who want methodological robustness before journal submission. What it does not do: it does not perform statistical analysis or generate data — it only converts results you already have into a CONSORT-standard report.
