Statistical Calculators
R-powered calculators for quantitative bias analysis and causal inference. All calculations use certified CRAN packages for reproducibility.
Available
E-Value Calculator
Calculate the E-value to assess the minimum strength of unmeasured confounding needed to explain away an observed association.
EValueSensitivity Analysis
OpenAvailable
Bias Factor Calculator
Compute bias factors for unmeasured confounding given assumptions about confounder prevalence and effect sizes.
episensrConfounding
OpenAvailable
Selection Bias Calculator
Quantify selection bias using selection probabilities and their relationship with exposure and outcome.
episensrSelection Bias
OpenAvailable
Misclassification Calculator
Adjust for exposure or outcome misclassification using sensitivity and specificity estimates.
episensrInformation Bias
OpenAvailable
Probabilistic Bias Analysis
Monte Carlo simulation for misclassification, selection bias, and unmeasured confounding with uncertainty distributions.
episensrSensitivity Analysis
OpenAvailable
Effect Measure Converter
Convert between effect measures (OR, RR, HR, RD) with confidence intervals.
Custom REffect Measures
OpenAvailable
Sample Size Calculator
Calculate required sample sizes for target trial emulation studies with various designs.
pwrStudy Design
OpenAvailable
IPW Diagnostics
Assess inverse probability weights including effective sample size, extreme weights, and balance.
cobaltWeighting
OpenAvailable
NNT / NNH Calculator
Convert effect measures (RR, OR, RD) to Number Needed to Treat or Number Needed to Harm.
CustomClinical
OpenAvailable
SMD Balance Calculator
Calculate Standardized Mean Differences to assess covariate balance after matching or weighting.
cobaltBalance
OpenAvailable
PS Overlap Assessment
Assess propensity score overlap and positivity between treatment groups.
cobaltPositivity
OpenAbout These Calculators
These calculators are designed to help researchers conduct quantitative bias analysis. Each calculator is powered by validated R packages from CRAN.