Comprehensive Statistical Support for Academic Research
Expert biostatisticians and data analysts providing study design, statistical analysis, and results interpretation for publication-ready manuscripts.
Statistical Analysis Services
Complete statistical support from study design to publication
Study Design & Planning
Rigorous study design to ensure valid and publishable results.
- Sample size calculation
- Power analysis
- Randomization design
- Control group planning
- Bias minimization strategies
Data Analysis & Execution
Professional statistical analysis using industry-standard tools.
- Data cleaning & preparation
- Descriptive statistics
- Inferential analysis
- Advanced modeling
- Sensitivity analysis
Results & Interpretation
Clear presentation and interpretation for publication.
- Results narrative writing
- Table creation (APA/journal)
- Figure design
- Statistical interpretation
- Limitations discussion
Statistical Software Expertise
Proficiency across all major statistical platforms
SPSS
IBM Statistical Package for Social Sciences
R
Statistical Computing & Graphics
SAS
Statistical Analysis System
Stata
Data Analysis & Statistics
Python
NumPy, Pandas, SciPy, Statsmodels
GraphPad
Prism for Biostatistics
MATLAB
Numerical Computing Platform
JMP
Statistical Discovery Software
Statistical Methods We Support
Comprehensive coverage of analytical techniques
Parametric Tests
T-tests, ANOVA, ANCOVA, MANOVA, paired comparisons, post-hoc analyses
Non-Parametric Tests
Chi-square, Mann-Whitney, Kruskal-Wallis, Wilcoxon, Fisher's exact
Regression Analysis
Linear, logistic, multinomial, ordinal, Poisson, negative binomial regression
Survival Analysis
Kaplan-Meier, Cox proportional hazards, log-rank test, competing risks
Meta-Analysis
Fixed/random effects, heterogeneity assessment, publication bias, forest plots
Advanced Methods
SEM, factor analysis, multilevel modeling, propensity score matching, IRT