The Medical Bundle consists of a range of professional tools used in medical research. The package simplifies and accelerates the entire data processing process, from data cleansing and analysis to final report preparation.
The Medical Bundle is add-on to Statistica and uses Statistica as its computational environment, providing access to a comprehensive range of analytical methods.
User benefits
- Comprehensive support for medical research
- Automation and acceleration of analyses
- Reliability and precision of results
- Easy use and flexibility
Key features
Analyses
- ROC curves
- Meta-analysis and meta-regression
- Linear Regression Wizard
- Logistic Regression Wizard
- Test Wizard
- Bootstrap
- Custom ANOVA designs (factorial and crossover)
- Bland-Altman plot
- Passing-Bablok and Deming regression
- Mountain plot
- Youden plot
- Limits of detection by probit
Additional methods
- 2×2 table measures
- Post-hoc for Friedman ANOVA
- Risk-weighted CUSUM
- Serial measurements
- Reference intervals
- Confidence intervals for ratios
- Risk profiles
- Multivariate normality tests
- Empirical distribution
- Moses’ test for extreme reactions
- Mood’s median test
- DFBETAS measures for outliers
- Nomogram
- Odds ratio (OR) using the Gart and Fagelland-Newcombe methods
- Post-hoc tests without homogeneity of variance
- Frequency tables for multiple qualitative variables
- Harrell’s C
- Fractional regression
- Equivalence test
- Proportionality test
- Multivariate chi-square test
- Ellipses for confidence intervals
- Sample size for logistic regression
- Brunner-Munzel test
- Circles and cuboids for chi-square test
Data cleansing
- Data verification
- Missing data
- Dummy variables
- Propensity score matching
- SMOTE
- ADASYN
All modules run on top of Statistica as their computational environment.
How the module works
Interested?
Medical Bundle: We will prepare a quote for the module
The module runs on top of Statistica as its computational environment. Tell us which licence you have — we send the quote within one business day.