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ResFlow

ResFlow is the flagship of Labs — it strings clinical research into one line, from question to publication. It reorganises 28 research tools by research pipeline and by study type, telling you which tool to use at each step; the core Project workbench lets one dataset flow from modelling to manuscript material. All computation is local — nothing is uploaded.

🧪 Project workbench Beta · one dataset through the whole line →
Paste data once, build a model — predicted probabilities flow automatically into ROC / calibration / DCA, no repeated copy-paste.
📖 First time? Start with the user guide to see the whole workflow and what each step is for.
1Design & planningChoose study type, statistical method and sample size
🧭Statistical method advisorWhich method to use — answer a few questions, jump to the tool🔢Sample size calculatorRequired n for means / proportions / correlation
2Data & baselineDescribe baseline characteristics, set reference ranges
📋Table 1 (baseline characteristics)Generate the paper's baseline table in one click📐Reference intervalDerive the normal range from a healthy sample
3Statistical analysisGroup comparison, correlation & regression, survival
🧮t-test / ANOVACompare means across two or more groups (incl. ANOVA)📶Non-parametric testsMann-Whitney / Kruskal-Wallis✚Chi-square / FisherCompare proportions and distributions🔬ANOVA post-hocTukey / Bonferroni / Holm⚖️RR / OR / NNTEffect sizes from a 2×2 table🔗CorrelationPearson / Spearman✏️Regression & curve fittingLinear regression and curve fitting🧬Logistic regressionMultivariable analysis of a binary outcome (OR)📉Cox proportional-hazardsMultivariable survival analysis (HR)⏳Kaplan-Meier curvesSurvival curves + log-rank
4Diagnosis & prediction modelsBuild and evaluate diagnostic tests / prediction models
🩻Diagnostic 2×2 tableSensitivity / specificity / PPV / NPV / LR📈ROC curve & AUCDiscrimination and optimal cut-off📊DeLong testCompare the AUC of two ROC curves🩺Fagan post-test probabilityPre-test × likelihood ratio → post-test (nomogram)📏NomogramVisual scoring for a prediction model🎚️Model calibrationHosmer-Lemeshow + calibration curve💹Decision curve analysisNet clinical benefit of a prediction model
5Reliability & agreementReliability of measurement methods, raters and scales
🔁ICC agreementTest-retest / inter-rater agreement for continuous data🤝Kappa agreementInter-rater agreement for categorical data🎯Cronbach's αInternal-consistency reliability of a scale🔲Bland-AltmanLimits of agreement between two methods🔄Method comparisonPassing-Bablok / Deming
6Evidence synthesisPool multiple studies, assess publication bias
🌲Meta-analysis & forest plotPool effect sizes across studies🌪️Funnel plot + EggerAssess publication bias
About ResFlow

ResFlow is the flagship of Labs — it strings scattered statistical tools into a complete clinical-research pipeline, so you can see what to do at each step and which tool to use. To grab a single calculator directly, head to the Research tools on the Labs home.