Studies, statistics and features.

Compare the statistics and plots available for each study, then review analyzer imports, acceptance limits, reports, team workspaces and hosting.

Studies

Precision

Study	Statistics	Plots
Repeatability	Mean with confidence interval Repeatability SD and CV Median, variance and quartiles Minimum and maximum Manufacturer's precision claim check	Results in run order Histogram Normal Q–Q plot Box plot
Multi-day precision	Repeatability SD and CV Between-run SD Between-day SD Within-laboratory SD and CV Grand mean with confidence interval Nested ANOVA for balanced and unbalanced designs Manufacturer's precision claim check	Results by day and run

Comparison and bias

Study	Statistics	Plots
Method comparison	Passing–Bablok regression Deming regression Weighted Deming regression Ordinary least squares Slope and intercept with confidence intervals Pearson r Mean bias with 95% limits of agreement Bias at medical decision levels Each specimen against its allowable difference Deming λ from replicates, linked precision studies or a stated value Reportable-range coverage	Regression plot with confidence band Bland–Altman difference plot, absolute or relative Residual plot
Instrument comparison	Up to 30 instruments, one of them the reference analyzer Mean difference with confidence interval 95% limits of agreement Bias at each concentration level Each specimen against its allowable difference	Differences against the reference result Differences by analyzer
Bias check	Bias with confidence interval Relative bias Recovery Mean, SD and CV at each level Assigned-value standard uncertainty Combined standard uncertainty Bias interval with the assigned value's uncertainty	Results in run order against the assigned value
Reagent lot comparison	New-lot minus previous-lot difference for each specimen Each specimen against its allowable difference Mean difference with confidence interval Lot plan coverage by concentration group QC material mean on each lot SD of the differences and within-specimen SD	New lot against previous lot Lot difference plot
PT and INR	Geometric mean normal PT with confidence interval Proposed PT and INR interval checks INR programming check PT/INR reagent lot comparison with separate PT and INR allowances	PT/INR lot comparison
Glucose meter error grids	Clarke error grid zones A–E Parkes error grid zones A–E, type 1 and type 2 Zone counts and percentages for each meter Signed percentage differences 95th percentile absolute difference	Error grid with each pair in its zone

Measuring range

Study	Statistics	Plots
Linearity	Straight-line fit through the level means Deviation from the fitted line Bias and recovery against assigned concentrations Every replicate against its assigned value Reportable range verification Theoretical values from equal dilution steps	Level means against assigned concentration Deviation from the line Percent recovery
Calibration verification	Mean and replicate error against assigned values or target ranges Range coverage at each endpoint Within-run SD and mean confidence interval Optional linearity check Optional precision index	Difference from the assigned value at each level
Dilution verification	Corrected result for each dilution factor Recovery against the expected neat concentration Each reading against the reportable range Verified range for each pool Volume, serial and stated dilutions	Recovery by dilution Readings against the reportable range
Detection limits	Limit of blank, rank-position or parametric, with confidence interval Limit of detection with the small-sample multiplier Pooled low-level SD Limit of quantitation against a CV or total-error goal Claimed LoB, LoD and LoQ verification Results reported below a limit	Results by material against each limit Precision profile

Reference intervals

Study	Statistics	Plots
Reference interval verification	Subjects below, within and above a claimed interval Two-sided interval or one-sided limit Single or staged verification rules Results for each partition 1.5·IQR outlier review Counts with excluded subjects added back	Subject values against the claimed limits Histogram Normal Q–Q plot Box plot
Reference interval establishment	Nonparametric, parametric and log-normal reference limits Automatic estimator choice with Shapiro–Wilk Confidence interval on each limit Two-sided interval or one-sided limit for each partition 1.5·IQR outlier review Limits with excluded subjects added back	Histogram with limits and their confidence intervals Raw points Normal Q–Q plot Box plot

Qualitative tests

Study	Statistics	Plots
Qualitative agreement	Contingency table Overall, positive and negative percent agreement with Wilson intervals Cohen's kappa and weighted kappa McNemar exact test Positive-proportion difference PPV and NPV, observed or modeled from prevalence Resolved results from retest or adjudication
Near-cutoff precision	Hit rate with Wilson interval at each concentration Probit fit C5, C50 and C95 with Fieller limits Pearson chi-square fit diagnostic	Hit rates with the fitted probit curve

Sample and material effects

Study	Statistics	Plots
Interference	Effect at each interferent concentration, test minus control Relative effect (%) Welch confidence interval on each effect Vehicle effect	Effect by interferent concentration
Carryover	21-position high and low sequence Lows after highs minus lows after lows Error limit of 3 SD or your own limit A decision for each run	Each run in sequence order
Stability	Change from baseline at each time and storage condition Paired or independent designs Longest tested time within the allowable change Claimed duration check Specimen, reagent, calibrator and control material stability	Change from baseline over time

Summaries and QC

Study	Statistics	Plots
Measurement uncertainty	Top-down uncertainty from within-laboratory precision and bias Precision, bias and assigned-value components Combined standard uncertainty Expanded uncertainty at your coverage factor Uncertainty of the mean bias
Sigma metric	Sigma at each stated concentration Bias and precision copied from saved studies Grades from Excellent to Unacceptable Suggested QC rules and control measurements	Method decision chart
Proficiency tracking	Bias and percentage bias against the peer or all-method group SDI Local acceptance beside the provider's grade	Bias history
Descriptive summary	Mean with confidence interval Median, SD, CV, variance and quartiles Lowest and highest results Geometric statistics for positive results	Results in entry order Histogram Normal Q–Q plot Box plot
QC targets (QC export)	Candidate target mean, SD and CV for each instrument, lot, analyte and level Estimated SD ranges Excluded, missing and duplicate rows set aside for review	Levey–Jennings plot with ±1, 2 and 3 SD lines

Features

Study design and limits

Run this study guides: A bench guide for every study: what to prepare, how many specimens, runs and replicates to collect, and how to enter them.
Suggested collection plans: Each study opens with an example design for its levels, specimens, days and runs.
Your acceptance limits: Limits in the study unit, as a percentage or both, and concentration-dependent limits across ranges.
CLIA and CAP limits: A built-in CLIA and CAP proficiency-testing table, searched by analyte name or abbreviation.
Limits on any statistic: Set a limit on any calculated statistic, including slope, intercept and between-day SD.
Reusable limits: Save a study's limits as a named set and copy them into later studies of the same analyte and unit.
Allowable error from published sources: Clinical requirement, CLIA proficiency-testing criterion, biological variation at minimum, desirable or optimum performance, or achievable peer precision, saved with its source and formula.

Data entry and imports

Analyzer and LIS imports: Import CSV, TSV and Excel exports, or paste a spreadsheet table, and select the study columns.
Saved import formats: Save an analyzer export's column mapping and reuse it for later files.
Split imports: Choose which groups to import from a file with several analytes, matrices, instruments or units.
Panel comparisons: Import a whole analyte panel from two methods, review the specimen matches and calculate every test's method comparison together.
Data grid: Type or paste results into a grid shaped for the study's design, with each problem marked in its cell.
Study codes for accession numbers: Accession or order numbers in a specimen column can be replaced with study codes on import, with a code key you download once.
Censored and missing results: Results such as <0.5, blanks and instrument flags stay as written and are marked for correction or exclusion.
Corrections and exclusions: Correct a value with the original kept on record, or exclude a result with its reason.
Templates and example files: A blank CSV template with each study's columns, and an example file for every study that takes an import.

Results and review

Met, Not met and Undecided: Each limit beside its observed value and outcome, with the reason for any Undecided result.
Methods and sources: Every calculation names its method and the published sources behind it.
Linked studies: Precision studies supply a method comparison's Deming λ, and saved bias and precision studies supply sigma and measurement uncertainty, with a warning when a source study changes.
Plot downloads: Plots as SVG or PNG, each with a study title, the result count and labelled axes.

Reports and records

Study reports: Page 1 is the decision page with each limit, its result and the sign-off; the measurements follow from page 2.
PDF and print: Download each report as a PDF or print it, also in black and white or on another paper size.
Sign-off: Sign a report under your own account, with your email and name recorded.
Amendments: A signed report stays locked, and an amendment is saved as a new version beside it.
History and revisions: Open any saved revision, calculation or signed report exactly as it was saved.
Project reports: All of a project's studies in one document, grouped by analyte, each with its own outcome.
Evidence binders: Signed reports bound into one PDF by analyte or analyzer, with a contents page and a CAP evidence index.
Evidence archive: The data, calculations and imports behind every report in a binder, in one download.
Study downloads: Study data and results summaries as CSV, each calculation as JSON, the report files and the original imports.
Workspace records: Every record in the workspace, with its history and SHA-256 checksums, as one ZIP.

Workspace and team

Shared workspaces: Invite colleagues into your laboratory's workspace; each person can belong to several.
Roles: Owners and Administrators manage members, Editors set up and run studies, and Viewers read, download and sign reports.
Working together: Each person edits a private draft. LabRuns combines separate changes on save and asks you to resolve changes to the same value.
Projects: Gather a go-live or an annual review into a project, and find studies by analyte, analyzer or lot.
Library: Save instruments, analyte profiles, allowable errors, materials and reagent lots, and create every study a new lot needs from its profile.
Recurring work: Schedules for periodic studies, new lots and shipments, with overdue and upcoming work on one list.
Workspace activity: Owners and Administrators can review membership changes, administrative actions, exports and Trash.
Trash: Projects and studies moved to Trash can be restored for 30 days.
Laboratory plan: One plan for the institution covers every member and their workspaces, after a free first week.

Hosting and security

United States hosting: The application, database, imports, reports and backups stay in the United States.
Encryption: HTTPS to your browser, an encrypted private network, and encryption at rest for the database and backups.
Email sign-in codes: Single-use sign-in codes, seven-day sessions and sign-out of every device at once.
Workspace isolation: The database returns records only from the workspace a request belongs to.
Locked records: Saved revisions, calculations and signed reports stay as saved, and SHA-256 checks catch any change.
Backups: A continuous database archive and daily backups, with the latest 14 copies each restored and checked.
Monitoring: An independent monitor checks the service, PDF printing and backups every five minutes.

Calculation evidence

Published methods: The formulas and scientific sources behind every study type.
Calculation checks: Every study type's values and decisions are checked against independent recalculations and published examples before each release.
Evaluation package: Study inputs, expected results and reports for every study type, to run the same studies yourself.
Institutional review: One facts table for your laboratory's software review, covering data handling, access and support.
CAP checklist guides: What each CAP checklist item asks a laboratory to keep, marked on an example report.

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