Review contracts and agreements for the obligations they create around clinical trial statistical analysis.
Statistical Analysis of Pharmaceutical Clinical Trial Results
A structured, applied course in clinical trial statistical analysis — designed to be used the week you return.
Course Overview
In healthcare, a weakness in clinical trial statistical analysis is eventually paid for by a patient. The data supporting statistical analysis is usually present but rarely assembled into a decision. Benchmarking exercises repeatedly place the practice within health and pharmaceutical services among the areas with the widest performance spread. Every module pairs a short input on clinical trial statistical analysis with structured practice on the participant's own material. The result is the confidence to make and defend decisions about this area of health and pharmaceutical services under scrutiny. The course sets out a working method for statistical analysis that participants can apply the week they return. Moving clinical trial statistical analysis from written policy into daily practice is not achieved by a single decision. It is written for people who have to make statistical analysis work with the resources they already have. The programme closes with an action plan for the practice within health and pharmaceutical services that each participant writes for their own organisation.
Expected Learning Outcomes
Design a process for statistical analysis that clinical staff can follow without obstructing care.
Design escalation for clinical deterioration detected through clinical trial statistical analysis.
Translate policy on statistical analysis into procedures that hold up under day-to-day pressure.
Assess and control infection risk associated with clinical trial statistical analysis.
Protect patient confidentiality and data within statistical analysis.
Build a concise clinical protocol for clinical trial statistical analysis that colleagues can follow without further explanation.
Who Should Attend
Pharmacists and pharmacy managers involved in clinical trial statistical analysis.
Medical directors overseeing clinical governance of statistical analysis.
Clinical department heads responsible for clinical trial statistical analysis.
Managers of multi-site operations seeking consistency in statistical analysis.
Training and development staff building internal capability in clinical trial statistical analysis.
Finance managers costing services delivered through statistical analysis.
Course Modules
Clinical trial statistical analysis: clinical process design and workflow
2 sessions · 8 pointsSession 1Matching staffing on clinical trial statistical analysis to real demand
- Confirm patient data handled within clinical trial statistical analysis meets confidentiality obligations.
- Assemble the accreditation evidence pack for statistical analysis.
- Verify cold chain and storage conditions for materials used in clinical trial statistical analysis.
- Audit statistical analysis by observing practice, not by reading policy.
Session 2Escalation and decision rights in statistical analysis
- Establish the boundary of clinical trial statistical analysis and record what sits outside it.
- Benchmark the organisation's statistical analysis against comparable operations.
- Match staffing levels on clinical trial statistical analysis to measured demand across the week.
- Confirm that contractual obligations around statistical analysis are understood.
Statistical analysis: infection prevention and patient safety
2 sessions · 8 pointsSession 1Investigating an adverse event involving statistical analysis
- Confirm competence and continuing development for staff delivering clinical trial statistical analysis.
- Confirm the incident reporting route for statistical analysis is quick and non-punitive.
- Close the loop: confirm changes to clinical trial statistical analysis improved the indicator they targeted.
- Anticipate the objections statistical analysis will raise and prepare the answers.
Session 2The cost of statistical analysis and how to present it
- Identify single points of dependency in clinical trial statistical analysis and reduce them.
- Build medication safety checks into statistical analysis at the point of highest risk.
- Set the review interval for clinical trial statistical analysis and who attends.
- Define escalation criteria for deterioration detected through statistical analysis.
Statistical analysis: incident reporting, investigation and learning
2 sessions · 8 pointsSession 1What patients actually experience during statistical analysis
- Remove steps in clinical trial statistical analysis that add effort without adding assurance.
- Define the trigger that would require statistical analysis to be redesigned.
- Measure patient experience of clinical trial statistical analysis and feed it back to the team.
- Identify where judgement in statistical analysis is legitimate and where it is not.
Session 2Auditing clinical trial statistical analysis at the bedside, not in the binder
- Plan continuity of clinical trial statistical analysis during surge and outbreak conditions.
- Rehearse the briefing on statistical analysis that would follow an incident.
- Confirm licensing and regulatory requirements applying to clinical trial statistical analysis are met.
- Test the procedure for statistical analysis against a realistic scenario.
Statistical analysis: cost, efficiency and sustainability of the service
2 sessions · 8 pointsSession 1Reading the current state of statistical analysis honestly
- Check that records of clinical trial statistical analysis answer the questions likely to be asked.
- Identify the data already collected that bears on statistical analysis.
- Check that consent processes within clinical trial statistical analysis are genuinely informed.
- Identify infection transmission risks created by statistical analysis and control them.
Session 2The evidence assessors will ask for on statistical analysis
- Set out the decisions in clinical trial statistical analysis that require sign-off and by whom.
- Confirm that reporting on statistical analysis reaches the people who can act.
- Record the rationale for each significant choice made about clinical trial statistical analysis.
- Select quality indicators for statistical analysis that measure outcome rather than activity.
Choose the package that suits you
Silver Package
At least 3 people
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
We will contact you within one business day to confirm.