From data cleaning and modeling to publication-ready figures, we deliver transparent, reproducible analytics aligned to your rubric or target journal.
Handling missingness, outliers, recoding, normalization; codebooks & data dictionaries.
Descriptives, cross-tabs, correlation, principal plots to understand patterns.
t/ANOVA/ANCOVA, χ², non-parametric tests, multiple-comparison control.
Linear/logistic/Poisson/neg-bin; random effects; marginal means & contrasts.
Reliability (α/ω), EFA/CFA (intro), scoring, weights, complex sampling notes.
Seasonality & trend, ARIMA/ETS, intervention checks, forecast visuals.
Journal-style figures, model diagnostics, effect plots, tables for DOCX/LaTeX.
Treatment effects, survey scales, regression/GLM; clear assumptions & effect sizes.
Outcomes (binary/count/continuous), mixed models, CONSORT-style tables.
Performance metrics, experimental design, error analysis, reproducible pipelines.
A/B, cohorts, drivers analysis, forecasting, dashboards for insights.
| Family | Typical use | Notes |
|---|---|---|
| t/ANOVA/ANCOVA | Group comparisons | Post-hoc with correction; assumptions reported |
| Regression (OLS) | Continuous outcomes | Diagnostics, collinearity checks, influence |
| Logistic/Poisson/Neg-Bin | Binary/Count outcomes | Odds/Rate ratios with CI; dispersion checks |
| Mixed (LMM/GLMM) | Clustered/Repeated | Random intercept/slope; marginal means |
| Time-series (ARIMA/ETS) | Trends & forecast | Stationarity, seasonality, error diagnostics |
| Non-parametric | Robust to violations | Mann-Whitney, Kruskal-Wallis, etc. |
We tailor methods to your question, data structure, and rubric/journal rules; transparent assumptions and limitations are documented.
Targeted clean-up + basic models + 1 figure/table.
Full EDA + inference/regression + 3–5 figures/tables + write-up.
Advanced models + journal formatting + response-to-reviewers support.
Rates depend on scope, domain complexity, data condition, and turnaround. You’ll get a precise quote after discovery.
Modeled patient-reported outcomes with random effects; reported OR with 95% CI and adjusted p-values; CONSORT-style tables.
Reliability, EFA, composite scoring; regression for predictors; APA figures for manuscript.
Monthly demand time-series; ARIMA with diagnostics; 3-month forecast uncertainty bands.
Clarify aims, data availability, rubric/journal requirements.
Milestones, dates, and deliverables agreed.
Secure transfer, templates, codebook, backups.
Iterative models/figures shared for feedback.
Methods/Results with effect sizes & limitations.
Scripts, data (as permitted), figures, and change log.
Yes—APA, MLA, Chicago, Harvard, IEEE, AMA, or journal-specific author guidelines.
Absolutely. You receive scripts (R/Python/SPSS/Stata), figures, and (when allowed) datasets plus a change log.
We help with methods summaries, consent language suggestions, and de-identification plans. Final IRB approval remains with your institution.
We report assumptions, diagnostics, effect sizes, confidence intervals, and limitations. Choices are justified in plain language.
Small tasks: days. Full chapters/manuscripts: weeks with staged milestones agreed before kickoff.
DOCX, PDF, LaTeX, XLSX/CSV, and .R/.py/.sav/.do as applicable. Tell us your preference at discovery.
Yes—coding frameworks, reliability checks, theming (NVivo/ATLAS.ti) and quantitative integration if needed.
Yes—based on your research question, design, and data structure. We’ll also list alternatives and trade-offs.
Yes—journal-ready tables/figures and references styled per the required guide.
By scope, data condition, complexity, and turnaround. You’ll receive a clear plan and quote after discovery.