Description
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Basic Statistical Analysis | Descriptive & Inferential Statistics for Publication
Don’t let statistics derail your publication. Reviewers reject manuscripts with flawed analyses faster than any other reason. EditVerse provides publication-ready statistical analysis performed by PhD biostatisticians who understand what journals expect — not just software outputs, but interpretable results that strengthen your manuscript.
🔄 OUR 5-STEP STATISTICAL ANALYSIS WORKFLOW
| Step 1 DATA REVIEW 📊 | Step 2 ANALYSIS PLAN 📋 | Step 3 EXECUTION ⚙️ | Step 4 INTERPRETATION 📝 | Step 5 DELIVERY ✅ |
| Data cleaning, outlier assessment, normality testing, missing data evaluation | Test selection based on your hypothesis, data type, and journal requirements | SPSS/R/STATA analysis with documented code and reproducible outputs | Plain-language results narrative ready to paste into your manuscript | Publication-ready tables, figures, and complete statistical report |
📦 COMPLETE SERVICE COMPONENTS
📊 Descriptive Statistics
- Means, medians, modes with appropriate central tendency selection
- Standard deviations, interquartile ranges, confidence intervals
- Frequency distributions and cross-tabulations
- Data visualization: histograms, box plots, scatter plots
🧪 Inferential Statistics (Hypothesis Testing)
- Parametric Tests: Independent t-test, paired t-test, one-way ANOVA, two-way ANOVA, repeated measures ANOVA
- Non-Parametric Alternatives: Mann-Whitney U, Wilcoxon signed-rank, Kruskal-Wallis, Friedman test
- Correlation Analysis: Pearson r, Spearman rho, point-biserial correlation
- Chi-Square Tests: Goodness of fit, independence, McNemar’s test
📋 Deliverables Included
- ✅ Complete statistical output files (SPSS/R/STATA)
- ✅ Publication-ready results tables (APA/AMA format)
- ✅ Results narrative for Methods & Results sections
- ✅ Statistical interpretation guidance document
- ✅ Reviewer response support (if questions arise)
✅ WHY EDITVERSE OUTPERFORMS FREELANCE STATISTICIANS
| Capability | EditVerse | Freelance/Software-Only |
| Domain Expertise | ✅ Biomedical PhD statisticians | ❌ Generic data analysts |
| Test Selection Justification | ✅ Documented rationale for reviewers | ❌ Just outputs provided |
| Manuscript-Ready Narrative | ✅ Copy-paste Results text | ❌ Raw output interpretation needed |
| Publication Tables | ✅ APA/AMA/journal-formatted | ❌ Software default formatting |
| Reviewer Support | ✅ Help addressing statistical queries | ❌ Project ends at delivery |
| Revision Rounds | ✅ Included for 30 days | ❌ Extra charge per change |
🏆 THE EDITVERSE DIFFERENCE: STATISTICIANS WHO PUBLISH
We don’t just run tests — we ensure your statistics survive peer review.
- 🎓 PhD Biostatisticians: Our team includes statisticians with 100+ published papers across medical journals
- 📖 Journal-Aware Analysis: We know what NEJM, Lancet, and specialty journals expect in statistical reporting
- 🔬 Assumption Testing: Every analysis includes normality tests, homogeneity of variance checks, and appropriate alternatives
- 📝 Methods Section Ready: We write the statistical methods paragraph you need for your manuscript
- 🛡️ Reproducibility Guaranteed: Annotated code files ensure any reviewer can replicate your results
“Your statistics should strengthen your story, not become a reason for rejection.”
🌍 REGIONAL RESEARCHER BENEFITS
🇯🇵 Japan Researchers
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🇨🇳 China Researchers
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🇰🇷 Korea Researchers
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👤 IDEAL FOR
- Medical researchers needing publication-ready analysis
- Graduate students unfamiliar with statistical software
- PIs who need rapid, reliable statistical verification
- Researchers responding to reviewer statistical concerns
- International authors ensuring Western statistical standards
⏱️ TURNAROUND & PRICING
| Dataset Size | Standard (3-5 days) | Rush (24-48 hrs) |
| Small (≤100 subjects, ≤10 variables) | From $350 | +50% |
| Medium (101-500 subjects) | From $500 | +50% |
| Large (500+ subjects) | Custom quote | Custom quote |
📚 HELPFUL RESOURCES
Learn more about statistical best practices:
- 📖 Rank-Based Statistics: Why Researchers Are Abandoning Parametric Tests
- 📖 Robust Statistics in Clinical Trials
- 📖 Data Trimming vs Winsorization: Which Method to Choose
📞 GET STARTED
Ready to bulletproof your statistics?
📧 Email: co*****@*******se.com
📁 Send Your Data: Upload via secure portal for free complexity assessment
💬 Quick Question? Use the chat widget for immediate assistance
🔒 Data Security: Your research data is handled under strict confidentiality. Secure file transfer, encrypted storage, and permanent deletion after project completion.
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