Free Research Tools

Generate a PRISMA 2020-compliant flow diagram in seconds. Enter your identification, screening, and inclusion numbers and download a publication-ready diagram as a high-resolution PNG.

Build structured eligibility criteria using the PICOS framework. Define population, intervention, comparator, outcome, and study design parameters, then export a formatted criteria table.

Construct Boolean search strings for PubMed, Cochrane, and Embase from plain-language inputs with synonym expansion and field tag support.

Convert a search string from one database syntax to another. Supports PubMed, Embase, CINAHL, Cochrane, Web of Science, Scopus, and PsycINFO.

Interactive PRISMA-ScR checklist for scoping reviews with 22 items. Track completion, add notes, and export your compliance summary.

Create Risk of Bias (RoB 2) traffic light tables with robvis-style summary bar charts. Add studies, cycle through domain-level judgments, view domain summaries, and export everything as publication-ready PNG images.

Assess risk of bias in non-randomized studies using the ROBINS-I framework with 7 bias domains, traffic-light visualization, and robvis-style summary bar charts showing distribution across judgment levels.

Interactive Newcastle-Ottawa Scale scoring for cohort and case-control studies with star-based scoring and domain breakdowns.

Walk through the GRADE framework to rate certainty of evidence. Assess risk of bias, inconsistency, indirectness, imprecision, and publication bias, then generate a Summary of Findings table.

Interactive JBI critical appraisal checklists across multiple study designs including RCTs, cohort, cross-sectional, qualitative, and prevalence studies.

Calculate and convert between common effect size measures: Cohen’s d, Hedges’ g, odds ratios, risk ratios, and correlation coefficients. Central hub of the analysis pipeline—compute effect sizes from raw data or test statistics, then send results directly to forest plot, funnel plot, or heterogeneity tools.

Assess heterogeneity with I², Cochran’s Q, τ², and prediction intervals using DerSimonian-Laird and REML estimators. Import studies directly from the pipeline for seamless meta-analysis workflow.

Create publication-ready forest plots with subgroup analysis, cumulative meta-analysis, Galbraith and Baujat diagnostic plots, REML and DerSimonian-Laird estimators, prediction intervals, R code generation, and leave-one-out sensitivity testing. Selectable confidence levels (80%, 90%, 95%, 99%).

Generate contour-enhanced funnel plots with Egger's regression, Begg's rank test, trim-and-fill analysis, and fail-safe N (Rosenthal, Orwin, Rosenberg). Selectable confidence levels, R code generation, and auto-generated methods paragraphs for publication.

Convert between odds ratios, risk ratios, absolute risk reduction, and number needed to treat. Enter any measure with baseline risk to compute all others.

Structure moderator data for meta-regression analysis. Validate and format study-level data for export to R (metafor), Stata, or Comprehensive Meta-Analysis.

Perform leave-one-out sensitivity analysis with D3-powered visualization showing how each study impacts the pooled estimate. Selectable confidence levels, copy plot to clipboard, auto-generated methods paragraphs, and high-resolution PNG/SVG export.

Compute sensitivity, specificity, positive and negative predictive values, likelihood ratios, and diagnostic odds ratio from a 2×2 contingency table.

Compute Bayes factors for common test scenarios including one-sample and two-sample t-tests, correlations, and proportions with interpretation guidelines.

Back-calculate confidence intervals from reported p-values, t-statistics, chi-square values, or z-scores. Reconstruct CIs and send results to forest plot, funnel plot, or heterogeneity tools via the analysis pipeline.

Guide extraction of time-to-event data from Kaplan-Meier curves. Enter time points and at-risk numbers to estimate hazard ratios and median survival times.

Convert between Pearson r, r², Cohen’s d, odds ratios, and other effect metrics with the exact formulas displayed for each conversion.

Convert between standard deviation, standard error, confidence intervals, and sample size. Provide any two known values to derive the rest.

Estimate mean and standard deviation from median, interquartile range, and sample size using validated methods by Wan et al. (2014), Luo et al. (2018), McGrath et al. (2020), and Hozo et al. (2005). Batch-process multiple studies and send results to the effect size calculator.

Analyze contingency tables with Pearson’s chi-square test, Fisher’s exact test (for 2×2 tables), and effect size measures including Cramér’s V and phi coefficient.

Compute required sample sizes for t-tests, ANOVA, chi-square tests, correlations, and regression. Solve for sample size, power, or effect size given the other parameters.

Compute intraclass correlation coefficients from rater data. Supports all six ICC forms: ICC(1,1), ICC(2,1), ICC(3,1), ICC(1,k), ICC(2,k), and ICC(3,k).

Structure your systematic review protocol into PROSPERO submission format. Guided form matching all PROSPERO registration fields with formatted output ready to paste.

Build a customized data extraction form with 60+ pre-built fields covering study info, population, intervention, outcomes, and risk of bias. Export as a CSV spreadsheet.

Convert research questions into structured PICO, PECO, or SPIDER frameworks. Add synonyms for each element and generate a Boolean search string for database searching.

Find and remove duplicate citations from exported library files. Upload RIS, BibTeX, or CSV files for fuzzy matching on title, DOI, author, and year.

Compute inter-rater agreement for screening decisions using Cohen’s kappa. Enter a 2×2 or multi-category agreement matrix to get kappa, standard error, 95% CI, and interpretation.