We support clinical, epidemiological, and public-health research from protocol design and power calculation to survival analysis and CONSORT-ready figures/tables.
*SAS support on request add to scope at discovery.
Endpoints, estimands, confounders, bias mitigation.
Simple/blocked/stratified; allocation concealment notes.
Superiority, non-inferiority, equivalence; attrition allowance.
Codebooks, cleaning rules, missing-data plan (MAR/MNAR notes).
t/ANOVA/ANCOVA, χ²/Fisher, non-parametric alternatives.
Linear/logistic/Poisson/neg-bin with diagnostics & effect sizes.
Repeated/clustered data (LMM/GLMM) with random effects.
Kaplan–Meier, log-rank, Cox PH, diagnostics, time-varying covariates (intro).
AUC/ROC, calibration, sensitivity/specificity, decision thresholds.
CONSORT/STROBE/PRISMA tables, APA/AMA figures, manuscript methods/results.
| Area | Examples | Notes |
|---|---|---|
| Design | Parallel, crossover, cluster-randomized | ICC, carryover effects, stratification |
| Comparisons | t/ANOVA/ANCOVA, χ²/Fisher | Multiple comparisons, adjusted p-values |
| Regression | Linear, logistic, Poisson/Neg-bin | Collinearity, link tests, residual checks |
| Mixed models | LMM/GLMM | Random intercept/slope, covariance structure |
| Survival | KM, log-rank, Cox PH | Proportional hazards checks, Schoenfeld |
| Diagnostics | ROC/AUC, calibration | Threshold selection, decision curves (intro) |
All analyses documented with assumptions, effect sizes, CI, and limitations for defensible conclusions.
Design consultation + power/sample size memo + template CRFs.
EDA + primary analyses + 3–5 figures/tables + methods/results write-up.
Advanced models + CONSORT/STROBE tables + submission formatting.
Pricing depends on design complexity, data quality, and turnaround. You’ll receive a clear plan after discovery.
Aims, endpoints, constraints; journal/ethics requirements.
Randomization, estimands; sample size memo.
Templates, codebooks, cleaning rules, missing-data plan.
Primary & sensitivity analyses with diagnostics.
Tables/figures + methods/results write-up.
Scripts, outputs, and change log; submission tips.
Yes we align endpoints with objectives/estimands and assess power implications.
We can generate randomization/stratification lists and document procedures.
We plan for missingness (MAR/MNAR considerations) and may use multiple imputation or sensitivity analyses.
Yes KM curves, log-rank tests, Cox PH with proportional-hazards diagnostics.
Yes LMM/GLMM with appropriate covariance structures and marginal means.
CONSORT, STROBE, PRISMA as applicable; figures/tables formatted per journal.
Absolutely scripts/notebooks and a change log are included for reproducibility.
We use robust/non-parametric alternatives, transformations, or re-specify models and report rationale.
Design/power: days; full analyses/manuscripts: weeks with milestone plan.
By design complexity, data condition, and scope. You’ll receive a transparent quote after discovery.