empiristat.com

What is EmpiriStat?

EmpiriStat is a biostatistics and clinical trial services company. It positions itself as a collaborator for organizations that need help designing and running clinical trials, then analyzing and reporting the resulting data. Rather than selling software or a single tool, it provides expert statistical work as a service.

Its stated scope covers three connected areas:

• Trial design and conduct — planning studies so that the data collected can actually answer the research question.
• Full-service statistical analysis — handling the analysis work from raw data through to interpretable results.
• SAS programming — producing the programming deliverables that regulators, sponsors and research teams typically expect.

Who it suits. The description points toward sponsors, research groups and clinical programs that lack in-house statistical depth or need extra capacity. A small biotech without a statistics department, or a research team preparing a submission, may be a better fit than a large organization with an established internal group.

Trade-offs. Outsourcing gives access to specialized expertise without hiring permanent staff, and an external statistician can add independent rigor. The cost is dependence on an outside partner for timelines and communication, plus onboarding effort to transfer study context. Teams with strong internal statistics groups may find less value here.

Details such as specific therapeutic areas, team size or pricing are not stated in the available information.

What clinical trial design and statistical analysis services does EmpiriStat provide?

EmpiriStat positions itself as a biostatistics collaborator rather than just a vendor, which shapes how its services are framed. The site describes two connected areas of work: designing and conducting clinical trials, and delivering full-service statistical analysis with SAS programming.

Trial design and conduct

EmpiriStat supports sponsors in planning trials and carrying them through. This typically includes statistical input on study design, sample size and power considerations, and the statistical sections that regulators and review boards expect. Because design and conduct sit together, the same group can carry assumptions from the protocol into the analysis rather than handing work between separate teams.

Analysis and SAS programming

The analysis side covers full-service statistical work and SAS programming for a clinical program. That combination is common in regulated drug, device and diagnostic development, where analysis datasets, tables, figures and listings must be reproducible and traceable. Sponsors who lack in-house statistical capacity, or who need to supplement it during a busy period, are the natural audience.

How to judge fit

• Early-stage sponsors may value design help before committing to a protocol.
• Larger programs may care most about SAS programming capacity and documentation standards.
• Teams already using another statistics partner may use EmpiriStat for a defined piece of work.

Trade-offs are not stated on the site. Whether the firm covers a specific therapeutic area, phase or regulatory pathway is best confirmed directly, since a short description cannot list every capability.

What is EmpiriStat's experience with SAS programming for clinical trials?

EmpiriStat presents itself as a biostatistics collaborator for clinical trial design and analysis, with SAS programming named as one of its core service areas. The site's own description pairs "full-service statistical analysis" with "SAS® programming," suggesting these are offered as connected parts of a single workflow rather than as separate, standalone tasks — an arrangement that typically matters when trial data must move from statistical analysis plan to production-ready outputs without handoffs between vendors.

For teams evaluating the service, the relevant question is usually fit: a sponsor running a Phase II or III program may need SDTM/ADaM datasets, tables, figures and listings, or analysis support for interim looks and final reporting. EmpiriStat describes its role as designing and conducting trials as well as analyzing them, so it is suited to organizations that want statistical input from protocol stage through to deliverable submission, rather than analysis bolted on at the end.

Because published details about specific therapeutic areas, therapeutic experience or the number of completed trials are not provided, those points are best confirmed directly with the company. The site does not display pricing information, so engagement costs would need to be discussed. Overall, EmpiriStat appears positioned as a specialist statistical and SAS programming partner for clinical research programs rather than a general data services provider.

How does EmpiriStat collaborate with sponsors on clinical trial design and conduct?

EmpiriStat positions itself as a collaborator rather than a vendor, working with sponsors across the life of a clinical program. According to its own description, the emphasis is on "biostatistical synergy" — early statistical input into trial design, followed by full-service analysis and SAS programming once a study is running.

Where collaboration typically begins

• Design phase: statisticians contribute to protocol development, helping translate a research question into an estimable design with defensible endpoints and sample size assumptions.
• Conduct phase: the team supports ongoing statistical work while the trial runs, so analysis decisions are not deferred until database lock.
• Analysis and reporting: full-service statistical analysis and SAS programming produce the outputs sponsors need for regulatory or internal review.

Who this suits

Sponsors without an in-house biostatistics group, or those with a small team that needs surge capacity, are the natural audience. Companies running registries, device studies or Phase I–III trials may find an external statistical partner useful for continuity across programs. Organizations that already have strong internal statistics may use this kind of support more selectively — for example, for independent validation or a specific programming task.

Trade-offs to weigh

Because the site does not publish pricing or engagement models, sponsors should confirm scope, timelines and deliverables directly.

What therapeutic areas or types of clinical programs does EmpiriStat support?

EmpiriStat is a biostatistics and statistical programming partner for clinical trials rather than a therapeutic-area specialist. Its stated focus is designing and conducting trials, then delivering full-service statistical analysis and SAS programming for a program.

That means support is organized around trial activities, not around a single disease field. Typical work may include:

• Statistical input into study design and protocol development
• Analysis planning and interim or final analyses
• SAS programming for datasets, tables, figures and listings
• Support across a full clinical program rather than one study

Because the site does not list specific therapeutic areas, it is reasonable to treat EmpiriStat as potentially suited to sponsors across multiple indications, including smaller biotech teams that need statistical capacity without building an internal group. The trade-off is that a generalist positioning may fit sponsors seeking flexible, program-level statistical support, while those wanting a partner with deep, named expertise in one disease area may need to confirm relevant experience directly.

For comparison, sponsors sometimes weigh specialist statistical consultancies against broader clinical research organizations; EmpiriStat presents itself in the former category, emphasizing biostatistical collaboration and SAS programming.

How can I contact EmpiriStat to discuss a potential collaboration?

For collaboration enquiries, the most reliable route is to use the contact options published on EmpiriStat's own website, EmpiriStat. The site is the authoritative source for current phone numbers, email addresses and any enquiry form, so check there first rather than relying on third-party listings that may be out of date.

What to have ready

Clinical trial design and statistical work usually begin with a scoping conversation, so a first message is more productive if it covers:

• The phase or study type, and whether the trial is already designed
• The statistical services needed, such as design, analysis or SAS programming
• Whether the request concerns a single study or an ongoing programme
• Expected timelines and any regulatory context
• A brief note on the therapeutic area and endpoints

Who this suits

Sponsors, research groups and programme teams that need a statistical collaborator rather than a one-off analysis are the typical audience for EmpiriStat's stated services. Early contact generally helps, since design decisions made before data collection are harder to correct later.

Practical note

If the website offers both a general enquiry address and named contacts, a specific route usually reaches the right person faster. Include a short subject line naming the study and service required, and keep the first message concise; detailed protocols can follow once a conversation begins.