Who is this event intended for? This event is intended for people who create data visualizations as well as customers who work with data visualization developers to make their data come to life.
What is the benefit of attending? This is a fun event where the audience will participate and become part of an experiment using polls and quick exposure to images (~250 milliseconds) to validate some of the principles taught in this course. This event will benefit data visualization developers and customers by teaching them how to leverage gestalt principles and pre-attentive processing in selecting aesthetics to maximize the effectiveness of their data visualizations.
Registration
You can now register for this event. This event is free of charge to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
The visual cortex can recognize certain “targets” and “borders”, based on variations in visual cues such as shape and color, within 250 milliseconds; this is called pre-attentive processing. This is faster than it takes to become conscious of the image. When combining visual cues, conjunctive visual cues, the pre-attentive qualities are generally lost. We will illustrate these concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 250 milliseconds. We will cover what types of visual cues are conducive to pre-attentive processing and how to incorporate these concepts in your data visualizations. Similarly, the study of gestalt principles from psychology, seeing meaning in a purposeful arrangement of design elements, can be leveraged for effective data visualizations. We will also discuss the hierarchies of perception and how this applies to data visualization.
Speaker details
Zachary Skrivanek
Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University, where he studied exploratory data analysis under Professor Velleman, a protégé of John W. Tukey, who invented a number of statistical graphics including the box plot. He joined Eli Lilly in 2002 where he contributed to the development of endocrine-related medicines and related biomarkers in early clinical phase drug development. He later transitioned to a product team in late phase clinical development as the lead statistician and developed and successfully implemented an innovative Bayesian adaptive, seamless phase 2/3 study which selected the doses for the entire program utilizing a clinical utility index. Dr. Skrivanek heavily leveraged data visualization to communicate the operating characteristics of the design as well as the results of the study.
He is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug development at Eli Lilly and the industry in general. He is involved in a number of external collaborations focused on advancing drug development through visual analytics including co-leading a subproject in PHUSE, on “Interactive Data Visualizations for Decision Making in Submissions”, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutical Industry) Special Interest Group (SIG) which hosts a monthly event, “Wonderful Wednesdays” where members are given data visualization challenges that they must solve for the following month and the solutions are critiqued by the panel based on good data visualization principles.
Who is this event intended for? This event is intended for people who create data visualizations as well as customers who work with data visualization developers to make their data come to life.
What is the benefit of attending? This is a fun event where the audience will participate and become part of an experiment using polls and quick exposure to images (~250 milliseconds) to validate some of the principles taught in this course. This event will benefit data visualization developers and customers by teaching them how to leverage gestalt principles and pre-attentive processing in selecting aesthetics to maximize the effectiveness of their data visualizations.
Registration
You can now register for this event. This event is free of charge to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
The visual cortex can recognize certain “targets” and “borders”, based on variations in visual cues such as shape and color, within 250 milliseconds; this is called pre-attentive processing. This is faster than it takes to become conscious of the image. When combining visual cues, conjunctive visual cues, the pre-attentive qualities are generally lost. We will illustrate these concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 250 milliseconds. We will cover what types of visual cues are conducive to pre-attentive processing and how to incorporate these concepts in your data visualizations. Similarly, the study of gestalt principles from psychology, seeing meaning in a purposeful arrangement of design elements, can be leveraged for effective data visualizations. We will also discuss the hierarchies of perception and how this applies to data visualization.
Speaker details
Zachary Skrivanek
Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University, where he studied exploratory data analysis under Professor Velleman, a protégé of John W. Tukey, who invented a number of statistical graphics including the box plot. He joined Eli Lilly in 2002 where he contributed to the development of endocrine-related medicines and related biomarkers in early clinical phase drug development. He later transitioned to a product team in late phase clinical development as the lead statistician and developed and successfully implemented an innovative Bayesian adaptive, seamless phase 2/3 study which selected the doses for the entire program utilizing a clinical utility index. Dr. Skrivanek heavily leveraged data visualization to communicate the operating characteristics of the design as well as the results of the study.
He is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug development at Eli Lilly and the industry in general. He is involved in a number of external collaborations focused on advancing drug development through visual analytics including co-leading a subproject in PHUSE, on “Interactive Data Visualizations for Decision Making in Submissions”, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutical Industry) Special Interest Group (SIG) which hosts a monthly event, “Wonderful Wednesdays” where members are given data visualization challenges that they must solve for the following month and the solutions are critiqued by the panel based on good data visualization principles.
Who is this event intended for? This event is intended for people who create data visualizations as well as customers who work with data visualization developers to make their data come to life.
What is the benefit of attending? This is a fun event where the audience will participate and become part of an experiment using polls and quick exposure to images (~250 milliseconds) to validate some of the principles taught in this course. This event will benefit data visualization developers and customers by teaching them how to leverage gestalt principles and pre-attentive processing in selecting aesthetics to maximize the effectiveness of their data visualizations.
Registration
You can now register for this event. This event is free of charge to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
The visual cortex can recognize certain “targets” and “borders”, based on variations in visual cues such as shape and color, within 250 milliseconds; this is called pre-attentive processing. This is faster than it takes to become conscious of the image. When combining visual cues, conjunctive visual cues, the pre-attentive qualities are generally lost. We will illustrate these concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 250 milliseconds. We will cover what types of visual cues are conducive to pre-attentive processing and how to incorporate these concepts in your data visualizations. Similarly, the study of gestalt principles from psychology, seeing meaning in a purposeful arrangement of design elements, can be leveraged for effective data visualizations. We will also discuss the hierarchies of perception and how this applies to data visualization.
Speaker details
Zachary Skrivanek
Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University, where he studied exploratory data analysis under Professor Velleman, a protégé of John W. Tukey, who invented a number of statistical graphics including the box plot. He joined Eli Lilly in 2002 where he contributed to the development of endocrine-related medicines and related biomarkers in early clinical phase drug development. He later transitioned to a product team in late phase clinical development as the lead statistician and developed and successfully implemented an innovative Bayesian adaptive, seamless phase 2/3 study which selected the doses for the entire program utilizing a clinical utility index. Dr. Skrivanek heavily leveraged data visualization to communicate the operating characteristics of the design as well as the results of the study.
He is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug development at Eli Lilly and the industry in general. He is involved in a number of external collaborations focused on advancing drug development through visual analytics including co-leading a subproject in PHUSE, on “Interactive Data Visualizations for Decision Making in Submissions”, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutical Industry) Special Interest Group (SIG) which hosts a monthly event, “Wonderful Wednesdays” where members are given data visualization challenges that they must solve for the following month and the solutions are critiqued by the panel based on good data visualization principles.
Who is this event intended for? This event is intended for people who create data visualizations as well as customers who work with data visualization developers to make their data come to life.
What is the benefit of attending? This is a fun event where the audience will participate and become part of an experiment using polls and quick exposure to images (~250 milliseconds) to validate some of the principles taught in this course. This event will benefit data visualization developers and customers by teaching them how to leverage gestalt principles and pre-attentive processing in selecting aesthetics to maximize the effectiveness of their data visualizations.
Registration
You can now register for this event. This event is free of charge to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
The visual cortex can recognize certain “targets” and “borders”, based on variations in visual cues such as shape and color, within 250 milliseconds; this is called pre-attentive processing. This is faster than it takes to become conscious of the image. When combining visual cues, conjunctive visual cues, the pre-attentive qualities are generally lost. We will illustrate these concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 250 milliseconds. We will cover what types of visual cues are conducive to pre-attentive processing and how to incorporate these concepts in your data visualizations. Similarly, the study of gestalt principles from psychology, seeing meaning in a purposeful arrangement of design elements, can be leveraged for effective data visualizations. We will also discuss the hierarchies of perception and how this applies to data visualization.
Speaker details
Zachary Skrivanek
Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University, where he studied exploratory data analysis under Professor Velleman, a protégé of John W. Tukey, who invented a number of statistical graphics including the box plot. He joined Eli Lilly in 2002 where he contributed to the development of endocrine-related medicines and related biomarkers in early clinical phase drug development. He later transitioned to a product team in late phase clinical development as the lead statistician and developed and successfully implemented an innovative Bayesian adaptive, seamless phase 2/3 study which selected the doses for the entire program utilizing a clinical utility index. Dr. Skrivanek heavily leveraged data visualization to communicate the operating characteristics of the design as well as the results of the study.
He is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug development at Eli Lilly and the industry in general. He is involved in a number of external collaborations focused on advancing drug development through visual analytics including co-leading a subproject in PHUSE, on “Interactive Data Visualizations for Decision Making in Submissions”, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutical Industry) Special Interest Group (SIG) which hosts a monthly event, “Wonderful Wednesdays” where members are given data visualization challenges that they must solve for the following month and the solutions are critiqued by the panel based on good data visualization principles.
Who is this event intended for? This event is intended for people who create data visualizations as well as customers who work with data visualization developers to make their data come to life.
What is the benefit of attending? This is a fun event where the audience will participate and become part of an experiment using polls and quick exposure to images (~250 milliseconds) to validate some of the principles taught in this course. This event will benefit data visualization developers and customers by teaching them how to leverage gestalt principles and pre-attentive processing in selecting aesthetics to maximize the effectiveness of their data visualizations.
Registration
You can now register for this event. This event is free of charge to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
The visual cortex can recognize certain “targets” and “borders”, based on variations in visual cues such as shape and color, within 250 milliseconds; this is called pre-attentive processing. This is faster than it takes to become conscious of the image. When combining visual cues, conjunctive visual cues, the pre-attentive qualities are generally lost. We will illustrate these concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 250 milliseconds. We will cover what types of visual cues are conducive to pre-attentive processing and how to incorporate these concepts in your data visualizations. Similarly, the study of gestalt principles from psychology, seeing meaning in a purposeful arrangement of design elements, can be leveraged for effective data visualizations. We will also discuss the hierarchies of perception and how this applies to data visualization.
Speaker details
Zachary Skrivanek
Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University, where he studied exploratory data analysis under Professor Velleman, a protégé of John W. Tukey, who invented a number of statistical graphics including the box plot. He joined Eli Lilly in 2002 where he contributed to the development of endocrine-related medicines and related biomarkers in early clinical phase drug development. He later transitioned to a product team in late phase clinical development as the lead statistician and developed and successfully implemented an innovative Bayesian adaptive, seamless phase 2/3 study which selected the doses for the entire program utilizing a clinical utility index. Dr. Skrivanek heavily leveraged data visualization to communicate the operating characteristics of the design as well as the results of the study.
He is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug development at Eli Lilly and the industry in general. He is involved in a number of external collaborations focused on advancing drug development through visual analytics including co-leading a subproject in PHUSE, on “Interactive Data Visualizations for Decision Making in Submissions”, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutical Industry) Special Interest Group (SIG) which hosts a monthly event, “Wonderful Wednesdays” where members are given data visualization challenges that they must solve for the following month and the solutions are critiqued by the panel based on good data visualization principles.
Who is this event intended for? This event is intended for people who create data visualizations as well as customers who work with data visualization developers to make their data come to life.
What is the benefit of attending? This is a fun event where the audience will participate and become part of an experiment using polls and quick exposure to images (~250 milliseconds) to validate some of the principles taught in this course. This event will benefit data visualization developers and customers by teaching them how to leverage gestalt principles and pre-attentive processing in selecting aesthetics to maximize the effectiveness of their data visualizations.
Registration
You can now register for this event. This event is free of charge to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
The visual cortex can recognize certain “targets” and “borders”, based on variations in visual cues such as shape and color, within 250 milliseconds; this is called pre-attentive processing. This is faster than it takes to become conscious of the image. When combining visual cues, conjunctive visual cues, the pre-attentive qualities are generally lost. We will illustrate these concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 250 milliseconds. We will cover what types of visual cues are conducive to pre-attentive processing and how to incorporate these concepts in your data visualizations. Similarly, the study of gestalt principles from psychology, seeing meaning in a purposeful arrangement of design elements, can be leveraged for effective data visualizations. We will also discuss the hierarchies of perception and how this applies to data visualization.
Speaker details
Zachary Skrivanek
Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University, where he studied exploratory data analysis under Professor Velleman, a protégé of John W. Tukey, who invented a number of statistical graphics including the box plot. He joined Eli Lilly in 2002 where he contributed to the development of endocrine-related medicines and related biomarkers in early clinical phase drug development. He later transitioned to a product team in late phase clinical development as the lead statistician and developed and successfully implemented an innovative Bayesian adaptive, seamless phase 2/3 study which selected the doses for the entire program utilizing a clinical utility index. Dr. Skrivanek heavily leveraged data visualization to communicate the operating characteristics of the design as well as the results of the study.
He is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug development at Eli Lilly and the industry in general. He is involved in a number of external collaborations focused on advancing drug development through visual analytics including co-leading a subproject in PHUSE, on “Interactive Data Visualizations for Decision Making in Submissions”, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutical Industry) Special Interest Group (SIG) which hosts a monthly event, “Wonderful Wednesdays” where members are given data visualization challenges that they must solve for the following month and the solutions are critiqued by the panel based on good data visualization principles.
Upcoming Events
PSI Training Course: Introduction to Machine Learning
This course is aimed at clinical trial statisticians who are new to or with limited experience of machine learning. Attendees will learn about a range of topics in machine learning, including practical sessions in R.
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.
The event will open with an overview on drug development in women’s health from a clinician perspective. This talk is followed by talks about statistical challenges when planning IVF studies and analysing the menstrual cycles.
This webinar will provide an overview of surrogacy for licensing and reimbursement. In turn, the need of extensions of the SPIRIT and CONSORT statement will be defined and outlined, with case studies to support.
Joint PSI/EFSPI Pre-Clinical SIG Webinar: Virtual Control Groups in Toxicity Studies
Lea Vaas will present how replacement of concurrent control animals by Virtual Control Groups (VCGs) in systemic toxicity studies may help in contributing to the 3R's principle of animal experimentation: Reduce, Refine, Replace.
Joint PSI/EFSPI Data Science SIG Webinar: Developing Digital Measures (Digital Biomarkers) in Drug Development – insights from Mobilise D consortium
We will share a brief overview of what Mobilise D is and why it is an important step stone in the development of digital biomarkers, and how Mobilise D outputs can be relevant for you.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
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 Introduction to Industry Training (ITIT) Course - 2024/2025
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.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
Statisticians in the Pharmaceutical Industry Executive Office: c/o MCI UK Ltd | Unit 24/22 South | Building 4000 | Langstone Park| Langstone Road | Havant | PO9 1SA | UK