The Pulse of Clinical Analytics & Research Networks
Transform bedside observations into high-impact, multi-center peer-reviewed publications. Datathrob unites specialized Clinical Specialty Divisions for physicians while executing data cleaning, biostatistics, protocol generation, and manuscript publishing.
Privacy
Your data stays in your browser
Datathrob does not collect patient data. The sample size calculator and the Analysis Studio run in your browser, and the files you load are not sent to our servers.
Do not enter patient identifiers
Do not type patient names, ID numbers or other identifiers into Ask Nora. Nora needs only your research question, design and variables.
What we store
Your name, email and payment reference run your membership. Nora stores your project text while your membership is active and deletes it 90 days after it ends.
Publishing & Ethics Benchmark
ICMJE Recommendations
The International Committee of Medical Journal Editors (ICMJE) is the worldwide standard-setting working group of general medical journal editors that produces the official Recommendations for the Conduct, Reporting, Editing, and Publication of Scholarly Work in Medical Journals.
How Datathrob Implements ICMJE Standards
- 4-Point Authorship CriteriaEnsures all named clinical collaborators meet substantial contribution, drafting, final sign-off, and accountability criteria.
- COI DisclosureStandardized multi-institutional Conflict of Interest declarations for transparent reporting.
- Trial RegistrationProspective clinical trial registration protocols (ClinicalTrials.gov or WHO Primary Registry) before patient recruitment.
- Reporting ChecklistsStrict adherence to EQUATOR Network reporting standards (STROBE, CONSORT, PRISMA, STARD).
Free service · No sign-up
Sample Size & Power
Work out how many patients your study needs, or how much power a planned sample gives you, before you collect any data. The calculator is free for everyone and runs in your browser, so no data leaves your computer.
How Datathrob Does It
- Plain-language study questionsYou choose what you want to learn, such as comparing two groups, comparing the same patients before and after, or showing a new treatment is not worse. You do not need to know the statistical test.
- Seven study designsTwo means, two proportions, paired measurements, non-inferiority, correlation, survival, and logistic regression for a risk factor.
- Guided inputsEach input explains where to find the value, such as a pilot study or published trials, with typical planning ranges.
- Sample size or powerCalculate the sample size for a target power, or the power for a fixed sample size, at your chosen significance level.
- Ready for your protocolCopy a methods sentence, save a PDF, or download a full report in Word or Markdown. The report lists the formulas and the checks run against reference software.
Free for guests within limits · Unlimited for members
Data Analysis
Upload your dataset, clean it with a full audit trail, and run the analyses your study needs. Everything runs in your browser, so your data stays on your computer. Guests analyse up to 50 records and 17 variables. Members have no limits.
How Datathrob Does It
- Data cleaning with an audit reportMissing values, duplicates, outliers and implausible clinical values are flagged, and every change is recorded. Download the audit report as Word, PDF or Markdown.
- Descriptive and inferential analysisSummary tables, group comparisons, chi-square tests, correlation, paired tests and Kaplan-Meier survival.
- Predictive modelsLinear, logistic and Cox regression.
- Prescriptive and advanced analysisNumber needed to treat, decision curve analysis and cost-effectiveness, plus elastic net, principal components, clustering, random forest and gradient boosting.
- Reproducible outputMembers can export a Python script that repeats every analysis.
Start free
Plan and analyse as a guest
Calculate sample size and power with no sign-up, and analyse files of up to 50 records and 17 variables.
Membership
Remove the limits
Members analyse full datasets, export a Python script, and can use credit services.