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SAS Statistical Programming Services

Pubrica provides SAS statistical programming for clinical research organisations, sponsors and academic trial units. SAS is widely used for clinical trial analysis and for preparing datasets submitted to regulators. Our programmers prepare analysis datasets, tables, listings and figures (TLFs) to the statistical analysis plan, with independent double programming available for key outputs.

  • CDISC-aligned datasets, with SDTM and ADaM structures prepared where the submission requires them
  • Tables, listings and figures programmed to the statistical analysis plan and the agreed shells
  • Independent validation by double programming or code review for the outputs you specify
  • Documented programs with headers, version history and a programming log
  • Transport files prepared in the format the receiving agency specifies
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What you receive

SAS programs with headers and version historyIncluded

Analysis datasets and specificationsIncluded

Tables, listings and figures to the agreed shellsIncluded

Validation records for double-programmed outputsIncluded

Programming log and issue trackerIncluded

Service Scope

What Our SAS Analysis Service Covers

Each project is scoped individually. The components below are combined according to your study and its requirements.

Analysis dataset programming Derived datasets built from raw or SDTM data, with derivations documented in specifications.
SDTM and ADaM preparation Mapping of collected data to CDISC standards, with define.xml and reviewer guides where required.
Tables, listings and figures Demographics, disposition, efficacy and safety outputs produced to mock shells.
Statistical procedures PROC MIXED, PROC PHREG, PROC LOGISTIC, PROC GLIMMIX and related procedures applied to the planned analysis.
Validation programming Independent reproduction of key outputs, with discrepancies recorded and resolved.
Integrated summaries Pooled safety and efficacy datasets across studies for integrated analyses.

Applications

Typical Applications of SAS

Clinical study reportsTLFs and analysis datasets supporting the report.
Regulatory submissionsDatasets and outputs prepared to agency data standards.
Interim and DSMB analysesOutputs prepared to the data monitoring committee charter.
Post-hoc and exploratory analysesAdditional analyses clearly labelled as exploratory.
Academic trialsAnalysis to the published protocol and statistical analysis plan.

Process

How the Project Works

Methods, deliverables and fees are confirmed in writing before work begins.

01 Data and question reviewWe review the dataset, the research question and any analysis plan, and confirm that SAS suits the analysis.
02 Analysis plan agreedMethods, variables, handling of missing data and outputs are agreed in writing before analysis starts.
03 Analysis and codeThe analysis is carried out in SAS with commented code, and a second statistician checks the outputs.
04 Report and outputsYou receive tables, figures and a methods and results section written to the relevant reporting guideline.
05 Queries and revisionsWe answer your questions and reviewer comments on the analysis within the agreed scope.

FAQs

Frequently Asked Questions

If your question is not answered here, ask an expert.

Yes, where the project requires them. We agree the implementation guide versions with you at the start and document the mapping decisions.

Independent double programming is offered for the outputs you specify, and the fee reflects the outputs selected.

Yes, subject to your access and security procedures. Alternatively we work in our own environment and deliver programs and outputs.

Yes. Our statisticians can write the plan and the table shells before programming begins.

Pubrica Academy

Further Reading in Pubrica Academy

AcademyBiostatistics in Current Health Data Research AcademySoftware Programs to Assist Meta-Analysis AcademyStatistical Significance and Effect Size CategoryAll articles in Research Data, Analytics & AIPubrica Academy articles on statistics, data collection, analytics and AI.

Request a Quote for SAS Data Analysis

Send your dataset description and research question. We confirm the methods, the deliverables and the fee before any work begins.

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Regulations

Check your project against this rule

  1. 1Your work
  2. 2Your details
  3. 3Send
What do you need?

Material you send is held under signed confidentiality, with access limited to the assigned team and encrypted transfer. It is not used to train anything and is not passed to third-party tools. Ask for the agreement before you send anything you would rather cover first.