Education > Continuing Education
Previously recorded webinars are available through the LearnSTAT OnDemand program.
Current Webinar Offerings:
|November 20, 2014||Finding the Gold in Your Data: An Overview of Some Data Mining Techniques|
|December 4, 2014||From Sample Size Calculations to Clinical Trial Optimization|
Title: Finding the Gold in Your Data: An Overview of Some Data Mining Techniques
Presenter: David Dickey, North Carolina State University Department of Statistics
Date and Time: November 20, 12:00 p.m. - 2:00 p.m. Eastern Time
Sponsor: Section on Physical and Engineering Sciences and the Quality and Productivity Section
Registration Deadline: November 18, at 12:00 p.m. Eastern time
Data mining is a popular term for methods that are appropriate for big data. I will talk about a few of the popular methods that are related to statistical methods. The methods require contributions from computer scientists, mathematicians, engineers, experts in visualization, and even language experts and psychologists for the aspect known as text mining. I will only speak on the statistical aspects at a rather elementary introductory level. Techniques discussed include recursive splitting, also known as decisions trees or CART, logistic regression, association analysis, unsupervised learning, neural networks, and text mining. New methods for model evaluation and comparison will be reviewed. Several examples will be used to illustrate the ideas.
Members of Q&P: $75
Members of SPES: $75
Members of SSC-BISS: $75
ASA Members: $90
Each registration is allowed one web connection and one audio connection. Multiple persons are encouraged to view each registered connection (for example, by projecting the webinar in a conference room).
Registration is Closed
Registered persons will be sent an email the afternoon of November 18, with the access information to join the webinar and the link to download and print a copy of the presentation slides.
Title: From Sample Size Calculations to Clinical Trial Optimization
Presenters: Alex Dmitrienko, Quintiles, and Gautier Paux, Servier
Date and Time: Thursday, December 4, 2014, 12:00 p.m. – 2:00 p.m. Eastern time
Sponsor: Biopharmaceutical Section
Registration Deadline: Tuesday, December 2, at 12:00 p.m. Eastern time
It is well known that sample size determination is one of the key aspects of designing a new clinical trial. A standard sample size calculation approach generally pursues a simple goal of computing a quick estimate of the required number of patients or events. Closed-form solutions are normally preferred, which often forces the trial’s sponsor to make simplifying assumptions. The clinical scenario evaluation (CSE) framework introduced in Benda et al (2010) provides an extended version of this basic “one-dimensional” approach. Clinical scenario evaluation focuses on a broad “multi-dimensional” approach to a quantitative assessment of the operating characteristics of several candidate analysis methods under multiple candidate trial designs to arrive at a solution which is consistent with the trial’s clinical objectives and maximizes a relevant success criterion or utility function.
In this webinar we will introduce the key principles of clinical scenario evaluation in the context of Phase II and Phase III clinical trials and touch upon multiple related approaches. We will discuss the general concept of clinical trial optimization aimed at identifying the configurations of applicable design scenarios and analysis strategies that lead to optimal performance. We will also emphasize the importance of sensitivity assessments to ensure that an optimal clinical trial design is robust to reasonable deviations from the assumed parameter values.
The CSE approach will be illustrated using case studies based on a clinical trial with multiple objectives, clinical trial with a biomarker-driven design and an adaptive Phase II clinical trial. Finally, we will introduce an R package (Mediana package) which was developed to provide a general software implementation of the CSE approach. The current version of the Mediana package supports a broad set of clinical trial designs and analysis methods, and we will discuss new features that will be added in the future.
Benda, N., Branson, M., Maurer, W., Friede, T. (2010). Aspects of modernizing drug development using clinical scenario planning and evaluation. Drug Information Journal. 44, 299-315.
Dmitrienko, A., Paux, G., Brechenmacher, T. (2014). Power calculations in clinical trials with complex clinical objectives. In press.
Biopharmaceutical Section Members: $44
ASA Members: $59
Registered persons will be sent an email the afternoon Tuesday, December 2, with the access information to join the webinar and the link to download and print a copy of the presentation slides.