Services
From idea to publication
Four services that work alone or together. Start with the free sample size tool, then add the services your study needs.
Our services
Open a service to see its workstreams and phases.
Ask Nora
Chat with Nora from idea to research proposal in four steps. Your project stays saved on your device.
Chat with Nora through four steps: idea discovery, a short research concept that fits your study type, a literature review from live search or your own exported library, and a research proposal with aims, ethics checklist, budget and a consistency check. A formal PICOT protocol with study design and sample size inputs is available when you want it. Any problem found at any stage is fixed with Nora, in the step that owns it. Your project stays saved on your device, so you can come back to it, correct it and carry the change into the later steps.
Data Studio
Upload a CSV or Excel file. Get a cleaned file, an audit report and five levels of analysis.
Upload a CSV or Excel file and the studio profiles every variable, harmonizes categories, flags implausible values and audits missing data. You get a cleaned file and an audit report with SHA-256 fingerprints, then descriptive, inferential, predictive, prescriptive and machine learning analyses. Members can export a Python script that repeats the work.
Manuscript
Turn your locked findings into a journal-ready manuscript, from outline to galley proofs.
Turn your locked data findings into a manuscript for your target journal. The service covers author guideline alignment and outlining, STROBE or CONSORT checklist audits, and co-drafting of the methods and results. It continues through portal-ready submission packages, point-by-point reviewer responses, sensitivity reruns and a final check of the galley proofs.
Mentorship
Live one-to-one sessions with a senior mentor on whatever your project needs.
Work one to one with a senior mentor on whatever your project needs: scoping an idea, reviewing your protocol, running or interpreting a data analysis, or answering reviewers. Sessions are live on video, with hands-on work on your own code and outputs. A final portfolio review leaves you able to run your next study on your own.
Service
Data Studio
Runs in the Datathrob Analysis Studio. Your data stays in your browser. Guests work within the free limits, and members have no limits.
Workstream 2: Data Cleaning & Audit
1Intake & Profiling
- UploadLoad a CSV or Excel file, or paste your data. Excel files open with a sheet picker. The file is read in your browser and is not uploaded anywhere.
- ProfilingThe studio profiles every variable for type, missing data, and ranges.
- Quality scorecardA data quality scorecard rates completeness, uniqueness, and the other checks, before and after cleaning.
2Categorical Harmonization
- Spelling variantsThe studio finds spelling, case, and spacing variants of the same category and proposes one standard value.
- Your approvalNothing changes until you approve each step, and the original file is never altered.
3Plausibility Limits & Missing Values
- Plausibility flagsDraft clinical limits flag values that are not possible or not likely. The limits are pending clinical review.
- Missing value auditThe default leaves missing values as they are and reports them for every variable.
- Optional imputationMedian or mode imputation is available for chosen variables, with an imputed flag column that keeps the change visible.
4Cleaned Data & Audit Report
- Cleaned fileDownload the cleaned data as CSV.
- FingerprintsThe report records SHA-256 fingerprints of the original and the cleaned file.
- Activity logEvery action is logged.
- Audit reportExport the full report as Word, PDF, or Markdown. Every analysis result you run is added to it.
Workstream 3: Statistical Analysis
1Descriptive Analysis
- Summary of every variableSize, missing data, centre and spread for numbers, and counts for categories.
- Table 1Baseline characteristics by group, with a mean-based or rank-based test for each number and a chi-square or Fisher test for each category.
2Inferential Analysis
- Two groupsWelch t-test or Mann-Whitney U, chosen from the data.
- Three or more groupsANOVA or Kruskal-Wallis.
- Two categoriesChi-square, with Fisher exact for 2 by 2 tables.
- Two numbersPearson or Spearman correlation.
- Paired measurementsPaired t-test or Wilcoxon signed-rank test.
- Survival over timeKaplan-Meier curves with a log-rank comparison between groups.
3Predictive Analysis
- Linear regressionPredict a measurement from other variables.
- Logistic regressionPredict a yes or no outcome, with odds ratios and a cross-validated ROC curve and AUC.
- Cox regressionModel time to an event with hazard ratios.
4Prescriptive Analysis
- Number needed to treatTurn a treatment effect into a number clinicians can use.
- Decision curve analysisCompare the net benefit of a model with treating everyone or no one.
- Cost-effectivenessCalculate the incremental cost-effectiveness ratio (ICER) for two options.
5Advanced & Machine Learning Analysis
- Penalized regressionRidge, LASSO, and elastic net for many or overlapping predictors.
- Dimension reduction and clusteringPrincipal component analysis and k-means clustering.
- Tree ensemblesRandom forest and gradient boosting, with cross-validated performance and variable importance.
- Reproducible codeMembers can export a Python script that repeats the analysis on the cleaned data.
Service
Manuscript
Translates locked data findings into peer-reviewed publications and manages the entire journal lifecycle.
1Manuscript Preparations
- Guidelines Alignment & OutliningIdentify target peer-reviewed journals and cross-reference their exact author guidelines to build a structural outline.
- Reporting Framework VerificationSelect and run audits against appropriate reporting framework checklists such as STROBE or CONSORT.
- Methods & Results Co-DraftingCo-draft the scientific methods narrative and results transparently, maintaining anti-ghostwriting boundaries so the investigator completely owns all interpretation.
- High-Res Figure GenerationConvert raw analytical plots into high-resolution, publication-ready vector graphics (TIFF/EPS) and format standalone data tables.
2Publication Submission & Editorial Follow-ups
- Journal Portal SubmissionFormat complete manuscript packages including title pages, disclosures, and reference formatting for direct portal upload.
- Peer-Review Rebuttal ArchitectureConstruct structured, professional point-by-point response templates to manage reviewer critiques and queries.
- Sensitivity RerunsExecute secondary statistical sensitivity analyses to address direct methodology queries raised during the editorial review phase.
- Proof Review & FinalizationAudit publisher galley proofs for structural accuracy prior to the official online-ahead-of-print publication release.
Independent service
Mentorship
An isolated, dedicated educational track focusing on direct clinician guidance, trainee portfolio monitoring, and reviewer response training.
Workstream 4: Mentorship & Faculty/Trainee Guidance
1Mentorship Mapping & Initial Idea Scoping
- PairingPair the resident, fellow, or faculty investigator with a dedicated senior mentor.
- AssessmentAssess the investigator's existing statistical background and specific project goals.
- TimelineEstablish a clear timeline matching the trainee's graduation or abstract submission deadlines.
2Active Protocol Review & Live Consultation Calls
- Live sessionsConduct live video consultation sessions to break down complex statistical concepts.
- Hands-on workWork live to refine sample code, interpret model outputs, and optimize data visualizations.
- Draft reviewReview intermediate drafts to ensure the clinician completely understands the analytical methods.
3Reviewer Query Dissection & Sensitivity Reruns
- Reading critiquesTeach investigators how to decipher complex or critical methodological critiques from journal reviewers.
- TroubleshootingCo-develop troubleshooting plans and guide the trainee through running sensitivity analyses.
- Rebuttal wordingRefine the wording of reviewer responses to ensure professional, mathematically sound rebuttals.
4Trainee Portfolio Review & Academic Transition
- Portfolio reviewConduct a final review of the investigator's academic research output and data portfolio.
- Reusable codeClean up reproducible code files so the investigator can reuse the workflows for future studies.
- IndependenceTransition the trainee to independent research status or track ongoing project expansions.
Publishing and ethics
The standards every Datathrob service is built to meet.
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).
Prices
Expert services are quoted in US dollars and paid by bank transfer. Analysis, data cleaning, de-identification and the sample size tool are never charged in credits.