CTI (Biometrics)
Biometrics / Data Science · Global
Best suited for sponsors wanting biostatistics consulting alongside data management.
Best for: Sponsors wanting biostatistics consulting alongside data management
Editorial ranking
We compare 46 Phase III trials biometrics vendor vendors on delivery reliability, compliance readiness, data quality and value - independent profiles compiled from public sources, ranked by evidence. Currently leading: CTI (Biometrics), Lambda (Biometrics), Aetion.
Evidence-led comparison
Biometrics / Data Science · Global
Best suited for sponsors wanting biostatistics consulting alongside data management.
Best for: Sponsors wanting biostatistics consulting alongside data management
Biometrics / Data Science · Global
Best suited for cost-conscious sponsors needing biostatistics and data management from india.
Best for: Cost-conscious sponsors needing biostatistics and data management from India
Top choice for sponsors needing regulatory-grade causal analysis of real-world data for submissions and HTA.
Best for: Regulatory RWE submissions, Causal inference analytics, HTA evidence generation, RCT emulation
Biometrics / data science · Global
Best suited for sponsors needing outsourced data science,stats,or programming capacity. official or public sources indicate Algorics Biostatistics offers sponsor-facing biometrics / data science capability relevant to clinical trial procurement.
Best for: Sponsors needing outsourced data science,stats,or programming capacity
Biometrics / data science · Global
Best suited for programmes needing statistics,programming,data management or analytics. public sources indicate Berry Consultants operates in biometrics / data science with a focus on adaptive trial design; bayesian analysis; simulation and a global footprint.
Best for: Programmes needing statistics,programming,data management or analytics
Order follows the CVC evidence model. Scores appear only for vendors with verified reviews; a vendor without reviews is never given a number. Read the methodology.
This guide is for clinical development leaders, programme directors and biotech teams preparing a pivotal Phase III trial who need a biometrics partner for design, analysis or submission datasets. It is also for sponsors whose Phase II statistician cannot scale to a multiregional confirmatory study, and for teams whose full-service CRO contract leaves biometrics to be bought separately.
Phase III is where statistical decisions carry the most weight: they determine sample size, cost and whether the result can support a marketing application. If you are looking for the best biometrics vendors for Phase III trials, use the vendor cards and table on this page as a starting point, not a verdict. They show which biometrics vendors are listed and what their profiles state; confirm pivotal-trial experience directly before you shortlist.
In a confirmatory trial, the biometrics team owns the statistical backbone of the study. Before first patient in, it agrees the primary endpoint and estimand, the multiplicity strategy for secondary endpoints, the sample size and the randomisation scheme. During the trial it supports blinded data review, prepares analyses for any data monitoring committee and keeps the statistical analysis plan aligned with protocol amendments. After database lock it produces the analysis datasets, the tables, listings and figures for the clinical study report, and the standardised datasets and metadata for submission.
Many sponsors split this work: an independent statistician for the data monitoring committee, a specialist design consultancy for simulation of complex designs, and a programming team with capacity for the volume of outputs a pivotal study produces. Others buy biometrics bundled with data management from one provider.
Typical trigger points are the end-of-Phase II decision, preparation for scientific advice, a design with interim analyses or adaptive elements, a multiregional programme, or the realisation that in-house programming capacity cannot meet the post-lock timeline.
Ask which pivotal designs the team has worked on and in which indications. Multiplicity control, non-inferiority margins, time-to-event endpoints and group sequential boundaries all require experience that early-phase work may not provide. Ask how the vendor would defend its proposed design in a regulatory meeting, and what simulation it would run to support it.
The ICH E9(R1) addendum expects a clear definition of the treatment effect being estimated and how intercurrent events, such as discontinuation or rescue medication, are handled. In Phase III these choices drive the primary analysis. Ask for a redacted statistical analysis plan and judge how clearly it sets out the primary estimand, the handling of missing data and the sensitivity analyses that support it.
Many Phase III trials include interim looks for efficacy, futility or sample size re-estimation. Ask how the vendor structures the independent statistical team, how it keeps unblinded results away from the study team, and how it documents the charter and the decision rules. If your design is adaptive, ask how its approach aligns with the ICH E20 guideline on adaptive designs and the FDA guidance on adaptive designs.
Under ICH E17, multiregional trials should be planned so that regional results can be interpreted. Ask how the vendor would approach regional allocation, pre-specified subgroup analyses and the presentation of consistency for the regulators you plan to approach.
Pivotal studies produce large output packages under tight timelines. Ask how many programmers would be assigned at lock, how validation is planned, whether programs are developed and tested on blinded or dummy data in advance, and whether the vendor runs dry runs before lock.
Ask for examples of SDTM, ADaM, Define-XML and reviewer guide packages the vendor has delivered, and whether it has supported integrated summaries of safety and efficacy that pool several studies. Conversion at the end of a programme is a common cause of delay.
In many Phase III programmes the CRO runs operations, one vendor manages the data and another analyses it. Each hand-off is a place where timelines slip and issues go unowned. Ask how the biometrics vendor takes part in data review meetings, how it raises data issues that affect the analysis, how it agrees data transfer specifications, and who chairs the decision when the statistical analysis plan and the data disagree. A short governance plan, with named owners and escalation routes, is worth asking for at proposal stage.
Reviewing blinded, pooled data before lock lets the team spot outliers, protocol deviations and unexpected distributions while there is still time to act. Ask how the vendor runs blinded data review, how decisions about analysis populations are documented before unblinding, and how those decisions feed into the final statistical analysis plan.
After submission, regulators ask for additional analyses, often with short deadlines. Ask whether the vendor keeps the team available after the clinical study report, and how quickly it can turn around ad hoc analyses.
The table below lists biometrics vendors whose profiles include Phase III among their study phases, so you can compare service model, footprint and therapeutic coverage before opening individual pages.
| Vendor | Vendor type | Service model | Geography | Study phases | Therapeutic areas |
|---|---|---|---|---|---|
| CTI (Biometrics) | Biometrics / Data Science | TBS | Global (HQ: United States) | Phase I, Phase II, Phase III | Oncology, Rare Diseases, CNS, Cardiovascular |
| Lambda (Biometrics) | Biometrics / Data Science | TBS | Global (HQ: India) | Phase I, Phase II, Phase III, Phase IV | Oncology, Infectious Disease, Diabetes, Cardiovascular |
| Aetion | Technology | SaaS | Global (HQ: United States) | Phase I, Phase II, Phase III, Phase IV | Oncology, Rare diseases, Cardiovascular, Immunology, Neurology |
| Algorics Biostatistics | Biometrics / data science | Biometrics / data science | Global (HQ: Global) | Phase I, Phase II, Phase III, Phase IV | Generalist |
| Berry Consultants | Biometrics / data science | Biometrics / data science | Global (HQ: Global) | Phase I, Phase II, Phase III, Phase IV | Generalist |
| BioStata | Biometrics / data science | Biometrics / data science | Global (HQ: Global) | Phase I, Phase II, Phase III, Phase IV | Generalist |
| Certara Biometrics | Biometrics / data science | Biometrics / data science | Global (HQ: Global) | Phase I, Phase II, Phase III, Phase IV | Generalist |
| Clindata Insight | Biometrics / Data Science | Specialty biometrics CRO: project, FSP and staffing | Global (HQ: United States) | Phase I, Phase II, Phase III, Phase IV | Oncology, Hematology, Ophthalmology, Dermatology, Respiratory, Immunology, Neurology, Infectious Disease, Cardiovascular, Vaccines |
| Clinical ink Data & Analytics | Biometrics / data science | Biometrics / data science | Global (HQ: Global) | Phase I, Phase II, Phase III, Phase IV | Generalist |
| CluePoints | Biometrics / data science | Biometrics / data science | Global (HQ: Global) | Phase I, Phase II, Phase III, Phase IV | Generalist |
The fields come from each vendor's Clinical Vendor Compare profile. Listing Phase III means the vendor's record includes that phase; it does not show how many pivotal trials a team has supported or in which indications. Several records describe a generalist remit and a broad service description, and two of the vendors below are real-world evidence platforms rather than trial biometrics teams. Treat the table as a map of who to ask, then verify pivotal experience in conversation.
CTI's biometrics record lists Phase I to Phase III coverage of small and medium-scale studies in oncology, rare diseases, CNS and cardiovascular medicine, from a United States headquarters with a global footprint. It is positioned for sponsors who want biostatistics consulting alongside data management. Phase III fit: relevant if you want design advice and data management from one team. Its record notes a mid-size organisation with limited global reach, so test resourcing for a large multiregional study.
Lambda's record describes an India-headquartered CRO offering biostatistics, data management and trial services, covering Phase I to Phase IV in oncology, infectious disease, diabetes and cardiovascular medicine, with CDISC standards listed among its strengths. Phase III fit: worth considering for programming and standards capacity. Ask about the size of the team available at database lock, overlap with your working hours, and the senior review of key outputs.
Aetion is listed as a software platform for real-world evidence focused on causal inference, regulatory real-world evidence submissions, health technology assessment evidence and emulation of randomised trials. Its record notes that it does not collect data and relies on external data partnerships. Phase III fit: relevant to evidence around a pivotal trial, such as context for rare outcomes or payer evidence, not to the design and analysis of the randomised study itself.
Algorics' record lists a biometrics and data science provider with a global footprint and a generalist remit across Phase I to Phase IV. It is positioned for sponsors needing outsourced data science, statistics or programming capacity. Phase III fit: a candidate where the gap is capacity rather than design leadership. Ask how it adapts to your standards and governance, which its record flags as an area to manage.
Berry Consultants' record describes a focus on adaptive trial design, Bayesian analysis and simulation, with a global footprint. Phase III fit: relevant when the confirmatory design itself is complex, for example with response-adaptive features, several interim decisions or a platform structure. Ask how it hands designs over to the team that will run the trial, and how it supports the simulation report and regulatory discussion.
BioStata is listed as a biometrics and data science provider with a global footprint and a generalist remit, covering Phase I to Phase IV. Its stated best fit is programmes needing statistics, programming, data management or analytics. Phase III fit: the record does not describe pivotal experience in detail, so ask for examples of confirmatory studies it has analysed and the size of the team it would assign at lock.
Certara Biometrics' record lists a global biometrics provider covering Phase I to Phase IV with a focus on statistics, programming, data management and analytics. Phase III fit: relevant for sponsors who want biometrics from a provider whose wider business includes modelling and simulation. Ask how quantitative pharmacology work, if you need it, would connect with the statistical analysis of your pivotal study.
This record lists a biometrics and data science provider with a global footprint covering Phase I to Phase IV, focused on statistics, programming, data management and analytics. Phase III fit: relevant if your trial collects substantial electronic source or patient-reported data and you want analytics close to the data. Ask for confirmatory analyses the team has delivered and how it validates programs.
CluePoints' record describes a focus on risk-based quality management, anomaly detection using statistical and machine-learning methods, and risk documentation, with a European and global footprint. Phase III fit: relevant to central statistical monitoring during a large trial, which ICH E6(R3) encourages as part of risk-proportionate oversight, rather than to the primary efficacy analysis.
COTA's record lists a North American real-world evidence company in oncology and haematology that classifies patients into clinically relevant subgroups using its own grading approach. Its record notes an oncology-only, United States focus. Phase III fit: relevant to oncology sponsors who need real-world context, for example to inform assumptions or payer evidence, alongside rather than instead of a trial biometrics team.
Phase III biometrics is commonly bought as a unit-based contract covering defined deliverables, an FTE or functional service arrangement giving named statisticians and programmers for the programme, or as part of a full-service CRO contract. Some sponsors combine models: a design specialist for simulation and the data monitoring committee, and a capacity provider for programming.
The main cost drivers are the size of the output package, the number of interim analyses and committee meetings, simulation for complex designs, submission datasets and integrated analyses, and the volume of ad hoc analyses requested after submission. Agree in advance how protocol amendments and regulator questions will be priced, and keep the independent statistical team's scope separate in the contract.
Start in the vendor directory and filter for biometrics and data science, then open profiles to check which list Phase III. Place a few side by side on the compare page to separate design specialists, programming capacity providers and real-world evidence platforms. For the wider operational picture, read the guide to Phase III CROs, and for an overview of the category see the guide to biometrics vendors for clinical trials. When your scope is clear, use the sponsor RFP tool to brief vendors. If you have worked with any of these vendors, please write a review so the next sponsor has evidence to work from.
Due diligence
Leading vendors in this category combine documented trial experience, therapeutic expertise, robust quality systems, and transparent pricing. Clinical Vendor Compare tracks verified vendor data — experience metrics, review scores, and evidence notes — so sponsors can compare candidates side by side.
Rankings are computed from verified evidence in the CVC vendor dataset: criterion-level scores, platform review scores, public review coverage, and studies managed. No vendor can pay to change a rank; sponsored placements are labelled separately.
The CVC dataset covers hundreds of verified clinical vendors across CRO, technology, and specialist-service categories, each with structured criteria, evidence notes, and source links. Use the compare view on this page to filter by your study needs.
No. Comparison pages, shortlists, and vendor profiles are free for sponsors. Vendors can claim and enhance their profiles, but review data and rankings remain independent.
Typically the statistical sections of the protocol, the sample size and randomisation, the statistical analysis plan, support for any data monitoring committee, analysis datasets, the tables, listings and figures behind the clinical study report, and standardised datasets for submission. Some vendors also run data management; confirm which of these your quote covers.
Usually not. Interim analyses for a data monitoring committee are normally prepared by an independent, unblinded team kept separate from the blinded study team, so that knowledge of emerging results cannot influence how the trial is run or analysed. Ask the vendor to describe its firewall and how access to randomisation codes is controlled.
At protocol design, and ideally during end-of-Phase II planning. Choices about the primary endpoint, estimand, multiplicity strategy and interim looks determine sample size and are hard to change after the trial starts. Early involvement also gives time to prepare for scientific advice or regulatory meetings.
For a marketing application to the FDA, standardised study data are expected: SDTM tabulation datasets, ADaM analysis datasets, Define-XML metadata and reviewer guides. The Japanese regulator has similar expectations, and EU reviewers benefit from the same structure. Plan the standards from the first data transfer rather than converting at the end.
The ICH E17 guideline asks sponsors to plan for consistency of treatment effects across regions, which can affect sample size allocation, pre-specified subgroup analyses and how regional results are presented. A Phase III biometrics vendor should be able to explain how it would handle these questions for the regions you intend to file in.
Real-world data can inform design assumptions, provide context for rare outcomes or, in specific circumstances, support external comparators. It does not replace the randomised comparison in a conventional Phase III trial. If you plan to use it, agree the methodology with regulators early and keep it separate from the trial’s primary analysis.
It depends on the number of outputs, the complexity of the analysis and how much programming and validation was done on blinded or dummy data before lock. Agree the topline package and its timeline in the contract, and ask the vendor how it uses dry runs before lock to shorten the path to results.