Past PSI Events

Conferences

The Design and Analysis of N of 1 Trials

Radisson Blu Edwardian Heathrow Hotel <br>140 Bath Road, Hayes, Middlesex, UB3 5AW <br><br><b>Start:</b> 09:00 <br><b>Finish:</b> 17:00

PLEASE CLICK HERE TO REGISTER!

Introduction

N of 1 trials are trials in which individual patients are repeatedly treated with experimental and control treatments in a deliberate and designed manner using principles of control, randomisation and replication. Their uses include personalising treatment and increasing efficiency by reducing the number of patients it is necessary to study.

In chronic diseases, sets of n-of-1 trials (in which a limited number of patients follow an n-of-1 protocol) have great potential as phase IV trials for understanding components of variation but may also constitute possible Phase III programmes for rare diseases. They can also be used as phase II studies for proof of concept and dose-finding. However, they are often poorly analysed and, indeed, much of the published advice is poor.

This course will present the latest thinking on n-of-1 trials and cover not only their analysis through SAS®, R® GenStat® and meta-analysis packages but also approaches to design. They will also be critically examined as to their potential use in a) establishing average effects of treatment b) studying the extent to which such effects vary from patient to patient and c) optimising treatment for individual patients.

Course leader

This course will be given by Professor Stephen Senn, of the Luxembourg Institute of Health, who is well- known for his work on the design and analysis of clinical trials and the application of statistics in drug development. 

Topics covered

  • Uses of n-of-1 trials and purposes of analysis
    • Showing the treatment can work
    • Understanding variation in effect
    • Predicting effects
  • Design 
    • Randomisation in cycles
    • Randomisation in patient blocks
  • Graphical presentation of results
    • Trellis plots
    • Dot plots
  • Causal analysis
  • Analysis of variance
    • Block structure and the Wilkinson & Roger notation
    • Main effect models
    • Allowing for interaction
  • Summary measures approaches
  • Mixed models
    • Estimation
    • Best linear unbiased predictors (shrunk estimates)
  • Meta-analysis approaches
    • Fixed effects
    • Random effects
  • Binary data
  • Planning issues

 

Early
(up to and including 6th June)

Late
(after 6th June)

Academic (includes non voting reduced membership)

£245 + VAT

£295 + VAT

PSI member

£295 + VAT

£345 + VAT

Non-member (includes PSI membership for one year)

£375 +VAT

£425 + VAT


Registration closes 28th June 2016

PLEASE CLICK HERE TO REGISTER!

Scientific Meetings

The Design and Analysis of N of 1 Trials

Radisson Blu Edwardian Heathrow Hotel <br>140 Bath Road, Hayes, Middlesex, UB3 5AW <br><br><b>Start:</b> 09:00 <br><b>Finish:</b> 17:00

PLEASE CLICK HERE TO REGISTER!

Introduction

N of 1 trials are trials in which individual patients are repeatedly treated with experimental and control treatments in a deliberate and designed manner using principles of control, randomisation and replication. Their uses include personalising treatment and increasing efficiency by reducing the number of patients it is necessary to study.

In chronic diseases, sets of n-of-1 trials (in which a limited number of patients follow an n-of-1 protocol) have great potential as phase IV trials for understanding components of variation but may also constitute possible Phase III programmes for rare diseases. They can also be used as phase II studies for proof of concept and dose-finding. However, they are often poorly analysed and, indeed, much of the published advice is poor.

This course will present the latest thinking on n-of-1 trials and cover not only their analysis through SAS®, R® GenStat® and meta-analysis packages but also approaches to design. They will also be critically examined as to their potential use in a) establishing average effects of treatment b) studying the extent to which such effects vary from patient to patient and c) optimising treatment for individual patients.

Course leader

This course will be given by Professor Stephen Senn, of the Luxembourg Institute of Health, who is well- known for his work on the design and analysis of clinical trials and the application of statistics in drug development. 

Topics covered

  • Uses of n-of-1 trials and purposes of analysis
    • Showing the treatment can work
    • Understanding variation in effect
    • Predicting effects
  • Design 
    • Randomisation in cycles
    • Randomisation in patient blocks
  • Graphical presentation of results
    • Trellis plots
    • Dot plots
  • Causal analysis
  • Analysis of variance
    • Block structure and the Wilkinson & Roger notation
    • Main effect models
    • Allowing for interaction
  • Summary measures approaches
  • Mixed models
    • Estimation
    • Best linear unbiased predictors (shrunk estimates)
  • Meta-analysis approaches
    • Fixed effects
    • Random effects
  • Binary data
  • Planning issues

 

Early
(up to and including 6th June)

Late
(after 6th June)

Academic (includes non voting reduced membership)

£245 + VAT

£295 + VAT

PSI member

£295 + VAT

£345 + VAT

Non-member (includes PSI membership for one year)

£375 +VAT

£425 + VAT


Registration closes 28th June 2016

PLEASE CLICK HERE TO REGISTER!

Training Courses

The Design and Analysis of N of 1 Trials

Radisson Blu Edwardian Heathrow Hotel <br>140 Bath Road, Hayes, Middlesex, UB3 5AW <br><br><b>Start:</b> 09:00 <br><b>Finish:</b> 17:00

PLEASE CLICK HERE TO REGISTER!

Introduction

N of 1 trials are trials in which individual patients are repeatedly treated with experimental and control treatments in a deliberate and designed manner using principles of control, randomisation and replication. Their uses include personalising treatment and increasing efficiency by reducing the number of patients it is necessary to study.

In chronic diseases, sets of n-of-1 trials (in which a limited number of patients follow an n-of-1 protocol) have great potential as phase IV trials for understanding components of variation but may also constitute possible Phase III programmes for rare diseases. They can also be used as phase II studies for proof of concept and dose-finding. However, they are often poorly analysed and, indeed, much of the published advice is poor.

This course will present the latest thinking on n-of-1 trials and cover not only their analysis through SAS®, R® GenStat® and meta-analysis packages but also approaches to design. They will also be critically examined as to their potential use in a) establishing average effects of treatment b) studying the extent to which such effects vary from patient to patient and c) optimising treatment for individual patients.

Course leader

This course will be given by Professor Stephen Senn, of the Luxembourg Institute of Health, who is well- known for his work on the design and analysis of clinical trials and the application of statistics in drug development. 

Topics covered

  • Uses of n-of-1 trials and purposes of analysis
    • Showing the treatment can work
    • Understanding variation in effect
    • Predicting effects
  • Design 
    • Randomisation in cycles
    • Randomisation in patient blocks
  • Graphical presentation of results
    • Trellis plots
    • Dot plots
  • Causal analysis
  • Analysis of variance
    • Block structure and the Wilkinson & Roger notation
    • Main effect models
    • Allowing for interaction
  • Summary measures approaches
  • Mixed models
    • Estimation
    • Best linear unbiased predictors (shrunk estimates)
  • Meta-analysis approaches
    • Fixed effects
    • Random effects
  • Binary data
  • Planning issues

 

Early
(up to and including 6th June)

Late
(after 6th June)

Academic (includes non voting reduced membership)

£245 + VAT

£295 + VAT

PSI member

£295 + VAT

£345 + VAT

Non-member (includes PSI membership for one year)

£375 +VAT

£425 + VAT


Registration closes 28th June 2016

PLEASE CLICK HERE TO REGISTER!

Journal Club

The Design and Analysis of N of 1 Trials

Radisson Blu Edwardian Heathrow Hotel <br>140 Bath Road, Hayes, Middlesex, UB3 5AW <br><br><b>Start:</b> 09:00 <br><b>Finish:</b> 17:00

PLEASE CLICK HERE TO REGISTER!

Introduction

N of 1 trials are trials in which individual patients are repeatedly treated with experimental and control treatments in a deliberate and designed manner using principles of control, randomisation and replication. Their uses include personalising treatment and increasing efficiency by reducing the number of patients it is necessary to study.

In chronic diseases, sets of n-of-1 trials (in which a limited number of patients follow an n-of-1 protocol) have great potential as phase IV trials for understanding components of variation but may also constitute possible Phase III programmes for rare diseases. They can also be used as phase II studies for proof of concept and dose-finding. However, they are often poorly analysed and, indeed, much of the published advice is poor.

This course will present the latest thinking on n-of-1 trials and cover not only their analysis through SAS®, R® GenStat® and meta-analysis packages but also approaches to design. They will also be critically examined as to their potential use in a) establishing average effects of treatment b) studying the extent to which such effects vary from patient to patient and c) optimising treatment for individual patients.

Course leader

This course will be given by Professor Stephen Senn, of the Luxembourg Institute of Health, who is well- known for his work on the design and analysis of clinical trials and the application of statistics in drug development. 

Topics covered

  • Uses of n-of-1 trials and purposes of analysis
    • Showing the treatment can work
    • Understanding variation in effect
    • Predicting effects
  • Design 
    • Randomisation in cycles
    • Randomisation in patient blocks
  • Graphical presentation of results
    • Trellis plots
    • Dot plots
  • Causal analysis
  • Analysis of variance
    • Block structure and the Wilkinson & Roger notation
    • Main effect models
    • Allowing for interaction
  • Summary measures approaches
  • Mixed models
    • Estimation
    • Best linear unbiased predictors (shrunk estimates)
  • Meta-analysis approaches
    • Fixed effects
    • Random effects
  • Binary data
  • Planning issues

 

Early
(up to and including 6th June)

Late
(after 6th June)

Academic (includes non voting reduced membership)

£245 + VAT

£295 + VAT

PSI member

£295 + VAT

£345 + VAT

Non-member (includes PSI membership for one year)

£375 +VAT

£425 + VAT


Registration closes 28th June 2016

PLEASE CLICK HERE TO REGISTER!

Webinars

The Design and Analysis of N of 1 Trials

Radisson Blu Edwardian Heathrow Hotel <br>140 Bath Road, Hayes, Middlesex, UB3 5AW <br><br><b>Start:</b> 09:00 <br><b>Finish:</b> 17:00

PLEASE CLICK HERE TO REGISTER!

Introduction

N of 1 trials are trials in which individual patients are repeatedly treated with experimental and control treatments in a deliberate and designed manner using principles of control, randomisation and replication. Their uses include personalising treatment and increasing efficiency by reducing the number of patients it is necessary to study.

In chronic diseases, sets of n-of-1 trials (in which a limited number of patients follow an n-of-1 protocol) have great potential as phase IV trials for understanding components of variation but may also constitute possible Phase III programmes for rare diseases. They can also be used as phase II studies for proof of concept and dose-finding. However, they are often poorly analysed and, indeed, much of the published advice is poor.

This course will present the latest thinking on n-of-1 trials and cover not only their analysis through SAS®, R® GenStat® and meta-analysis packages but also approaches to design. They will also be critically examined as to their potential use in a) establishing average effects of treatment b) studying the extent to which such effects vary from patient to patient and c) optimising treatment for individual patients.

Course leader

This course will be given by Professor Stephen Senn, of the Luxembourg Institute of Health, who is well- known for his work on the design and analysis of clinical trials and the application of statistics in drug development. 

Topics covered

  • Uses of n-of-1 trials and purposes of analysis
    • Showing the treatment can work
    • Understanding variation in effect
    • Predicting effects
  • Design 
    • Randomisation in cycles
    • Randomisation in patient blocks
  • Graphical presentation of results
    • Trellis plots
    • Dot plots
  • Causal analysis
  • Analysis of variance
    • Block structure and the Wilkinson & Roger notation
    • Main effect models
    • Allowing for interaction
  • Summary measures approaches
  • Mixed models
    • Estimation
    • Best linear unbiased predictors (shrunk estimates)
  • Meta-analysis approaches
    • Fixed effects
    • Random effects
  • Binary data
  • Planning issues

 

Early
(up to and including 6th June)

Late
(after 6th June)

Academic (includes non voting reduced membership)

£245 + VAT

£295 + VAT

PSI member

£295 + VAT

£345 + VAT

Non-member (includes PSI membership for one year)

£375 +VAT

£425 + VAT


Registration closes 28th June 2016

PLEASE CLICK HERE TO REGISTER!

Careers Meetings

The Design and Analysis of N of 1 Trials

Radisson Blu Edwardian Heathrow Hotel <br>140 Bath Road, Hayes, Middlesex, UB3 5AW <br><br><b>Start:</b> 09:00 <br><b>Finish:</b> 17:00

PLEASE CLICK HERE TO REGISTER!

Introduction

N of 1 trials are trials in which individual patients are repeatedly treated with experimental and control treatments in a deliberate and designed manner using principles of control, randomisation and replication. Their uses include personalising treatment and increasing efficiency by reducing the number of patients it is necessary to study.

In chronic diseases, sets of n-of-1 trials (in which a limited number of patients follow an n-of-1 protocol) have great potential as phase IV trials for understanding components of variation but may also constitute possible Phase III programmes for rare diseases. They can also be used as phase II studies for proof of concept and dose-finding. However, they are often poorly analysed and, indeed, much of the published advice is poor.

This course will present the latest thinking on n-of-1 trials and cover not only their analysis through SAS®, R® GenStat® and meta-analysis packages but also approaches to design. They will also be critically examined as to their potential use in a) establishing average effects of treatment b) studying the extent to which such effects vary from patient to patient and c) optimising treatment for individual patients.

Course leader

This course will be given by Professor Stephen Senn, of the Luxembourg Institute of Health, who is well- known for his work on the design and analysis of clinical trials and the application of statistics in drug development. 

Topics covered

  • Uses of n-of-1 trials and purposes of analysis
    • Showing the treatment can work
    • Understanding variation in effect
    • Predicting effects
  • Design 
    • Randomisation in cycles
    • Randomisation in patient blocks
  • Graphical presentation of results
    • Trellis plots
    • Dot plots
  • Causal analysis
  • Analysis of variance
    • Block structure and the Wilkinson & Roger notation
    • Main effect models
    • Allowing for interaction
  • Summary measures approaches
  • Mixed models
    • Estimation
    • Best linear unbiased predictors (shrunk estimates)
  • Meta-analysis approaches
    • Fixed effects
    • Random effects
  • Binary data
  • Planning issues

 

Early
(up to and including 6th June)

Late
(after 6th June)

Academic (includes non voting reduced membership)

£245 + VAT

£295 + VAT

PSI member

£295 + VAT

£345 + VAT

Non-member (includes PSI membership for one year)

£375 +VAT

£425 + VAT


Registration closes 28th June 2016

PLEASE CLICK HERE TO REGISTER!

Upcoming Events

PSI Introduction to Industry Training (ITIT) Course - 2025/2026

An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.

PSI Estimand Online Training (4 Day Workshop)

This is an interactive online training workshop providing an in-depth review of the estimand framework as laid out by ICH E9(R1) addendum with inputs from estimand experts, case studies, quizzes and opportunity for discussions. You will develop an estimand in a therapeutic area of interest to your company. In an online break-out room, you will join a series of team discussions to implement the estimand framework in a case study, aligning estimands, design, conduct, analysis, (assumptions + sensitivity analyses) to the clinical objective and therapeutic setting.

Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars

Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.

PSI Webinar: Dose-finding in Oncology

Who is this event intended for? Statisticians with an interest understanding dose-finding in oncology. What is the benefit of attending? Learn about the state of oncology dose finding, particularly in light of current FDA guidance.

PSI Book Club Webinar: Atomic Habits - The Science of Getting Your Act Together

The book club’s usual focus is to read and discuss professional development books. In this short format event you can more easily develop you career without the commitment of reading the whole book - simply listen to the 1-hour long podcast before joining the interactive session on 21 May.

PSI Career Young Virtual Event (Q2 2025)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

PSI Career Young Virtual Event (Q3 2025)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

PSI Career Young Virtual Event (Q4 2025)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

Latest Jobs

Group Leader - ICR Clinical Trials and Statistics Unit

The Institute of Cancer Research are seeking to appoint a Research Group Leader to join The CRUK Clinical Trials and Statistics Unit at the ICR.

Statistical Science Intern - Biomarin

The BioMarin internship programme will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, whilst gaining an insight into the pharmaceutical/biotech industry.