Advanced Biostatistics Methods
We professionally apply advanced biostatistics methods with our expert team to answer your complex research questions.
Survival Analysis
We apply Kaplan-Meier, Log-rank, and Cox regression methods for the analysis of time-to-event data.
- Kaplan-Meier survival curves
- Log-rank test
- Cox proportional hazard regression
- Hazard ratio calculation
- Time-dependent variables
ROC Analysis
We perform ROC curve analysis and AUC calculation to evaluate the performance of diagnostic tests.
- ROC curve generation
- AUC calculation
- Sensitivity and specificity
- Determining cut-off values
- Comparing ROC curves
Logistic Regression
We perform logistic regression modeling for binary and multiclass outcome variables.
- Binary logistic regression
- Multinomial logistic regression
- Ordinal logistic regression
- Odds ratio calculation
- Model fit tests
Meta-Analysis
We calculate overall effect size estimates by combining results from multiple studies.
- Fixed-effect model
- Random-effects model
- Heterogeneity tests (I², Q)
- Funnel plot and publication bias
- Subgroup analyses
Features / Notes
Survival AnalysisCox RegressionROCMeta-Analysis