Education > Continuing Education

Web-Based Lectures

Previously recorded webinars are available through the LearnSTAT OnDemand program.

Current Webinar Offerings:


September 3, 2015 Escape the Land of LaTeX/Word for Statistical Reporting: The Ecosystem of R Markdown
September 9, 2015 Bayesian Methods for Drug Safety Evaluation and Signal Detection
September 10, 2015 A Total Survey Error Approach to Managing the Data Quality of Statistical Products
September 23, 2015 Evaluation of Biomarkers and Risk Prediction Models for Binary Outcomes
September 24, 2015 Overview of Agreement Statistics for Continuous, Binary, and Ordinal Data
October 8, 2015 Leveraging R and Shiny for Point and Click ADaM Analysis
October 20, 2015 Statistics for the World of Open Data
October 28, 2015 Nonlinear Mixed Effects Models with Applications in Pharmacokinetic/Pharmacodynamic (PK/PD) Modeling




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Title: Escape the Land of LaTeX/Word for Statistical Reporting: The Ecosystem of R Markdown
Presenter: Yihui Xie, RStudio
Date and Time: Thursday, September 3, 2015, 11:00 a.m. - 12:30 p.m. Eastern time
Sponsor: Section for Statistical Programmers and Analysts

Registration Deadline: Tuesday, September 1, at 12:00 p.m. Eastern time

Description:
It is time to consider the web. Most people may naturally open a LaTeX or Word document to write a statistical report. I will show what you have possibly missed, which can be basically summarized into 1) your report is less reproducible and requires more work, and 2) your report contains nothing interactive and can be less appealing to readers. In the ecosystem of R Markdown v2, there are tools for generating reproducible and interactive statistical reports. In this talk, I will introduce a series of R packages including knitr, rmarkdown, htmlwidgets, DT, leaflet, and shiny, etc, to show how easy it is to enhance your reports with the power of web technologies.

Registration Fees:
Member of the Section for Statistical Programmers and Analysts (SSPA): $40
ASA Member: $65
Nonmember: $85

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).

Register



Access Information
Registered persons will be sent an email the afternoon of Tuesday, September 1, with the access information to join the webinar and the link to download and print a copy of the presentation slides.




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Title: Bayesian Methods for Drug Safety Evaluation and Signal Detection
Presenter: David Ohlssen, Novartis Pharmaceutical, and Amy Xia, Amgen Inc.
Date and Time: Wednesday, September 9, 2015, 12:00 p.m. - 2:00 p.m. Eastern time
Sponsor: Biopharmaceutical Section

Registration Deadline: Monday, September 7, at 12:00 p.m. Eastern time

Description:
As the era of "big data" arrives in full force for health care and pharmaceutical development, researchers in these areas must turn to increasingly sophisticated statistical tools for their proper analysis. Bayesian statistical methods, while dating in principle to the publication of Bayes' Rule in 1763, have only recently begun to see widespread practical application due to advances in computation and software. This tutorial, sponsored by the DIA Bayesian Scientific Working Group, will provide an overview of Bayesian statistical methods and computation, and then explore their use in meta-analysis and hierarchical modeling especially with regard to drug safety. We will demonstrate methods via case examples and discuss the impact of utilizing these approaches throughout pharmaceutical development.

Learning objectives
o Demonstrate knowledge of the key concepts behind Bayesian statistical methods, hierarchical modeling, computation and software
o Utilize meta-analysis and Bayesian meta-analysis in the context of safety evaluation
o Examine techniques for safety signal detection that apply Bayesian hierarchical modeling to clinical trial adverse event data

Registration Fees:
Biopharmaceutical Section Members: $44
ASA Members: $59
Nonmembers: $74

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).

Register



Access Information
Registered persons will be sent an email the afternoon of Monday, September 7, with the access information to join the webinar and the link to download and print a copy of the presentation slides.




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Title: A Total Survey Error Approach to Managing the Data Quality of Statistical Products
Presenter: Paul Biemer, RTI International
Date and Time: Thursday, September 10, 2015 10:00 a.m. - 12:00 p.m. Eastern time
Registrants who are unable to attend the webinar during the scheduled presentation time will be given the link to the recording of the presentation.
Sponsor: Survey Research Methods Section and AAPOR

Registration Deadline: Tuesday, September 8, at 12:00 p.m. Eastern time

Description:
This webinar will describe a general framework for improving the quality of statistical programs in organizations that provide a continual flow of statistical products to users and stakeholders. The work stems from the system the author and his colleagues developed for Statistics Sweden to improve data quality for their key statistical products (see Biemer, Trewin, Bergdahl and Japec, 2014). This system, called ASPIRE, is built upon an array of quality indicators or metrics for tracking developments and changes in product quality and for achieving continual improvements in survey quality over time. ASPIRE works by reducing the risks of error across all major error sources with each review iteration. The webinar will provide some of the theoretical underpinnings of ASPIRE and how it is supported by the four pillars of the TSE paradigm - design, implementation, evaluation and analysis. It will then describe the components of ASPIRE and demonstrate how it was apply it to a number of products at Statistics Sweden including demographic surveys, business surveys and survey frames or registers. Key results and lessons learned will be summarized and the implications of this work for monitoring and evaluating product quality in statistical organizations more generally will be discussed.

Registration Fees:
Members of the Survey Research Methods Section: $60
AAPOR members: $60
ASA members: $75
Nonmembers: $95

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).

Register



Access Information
Registered persons will be sent an email the afternoon of Tuesday, September 8, with the access information to join the webinar and the link to download and print a copy of the presentation slides.




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Title: Evaluation of Biomarkers and Risk Prediction Models for Binary Outcomes
Presenter: Katie Kerr, University of Washington, Seattle
Date and Time: Wednesday, September 23, 2015, 12:30 p.m. - 2:30 p.m. Eastern time
Sponsor: Biopharmaceutical Section

Registration Deadline: Monday, September 21, at 12:00 p.m. Eastern time

Description:
This webinar will discuss fundamental concepts underlying the evaluation of biomarkers and risk prediction for binary outcomes. We will discuss specific metrics and graphical devices including ROC curves and AUC, calibration plots, net benefit, and decision curves. The webinar will also discuss methods to compare risk prediction models, paying particular attention to the case of two nested models and assessing the prediction increment of a new biomarker. We will discuss recently proposed metrics that rely on the concept of reclassification to evaluate new biomarkers. The focus of the webinar will be concepts, with limited attention to methods of statistical inference.

Registration Fees:
Biopharmaceutical Section Members: $44
ASA Members: $59
Nonmembers: $74

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).

Register



Access Information
Registered persons will be sent an email the afternoon of Monday, September 21, with the access information to join the webinar and the link to download and print a copy of the presentation slides.




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Title: Overview of Agreement Statistics for Continuous, Binary, and Ordinal Data
Presenter: Lawrence Lin, JBS Consulting Company
Date and Time: Thursday, September 24, 2015, 1:00 p.m. - 2:30 p.m. Eastern time
Sponsor: Section on Medical Devices and Diagnostics

Registration Deadline: Tuesday, September 22, at 12:00 p.m. Eastern time

Description:
This webinar be a general overview presentation with practical examples and without much statistical formulas. It will be based on materials presented in Lin, et al (2012), Statistical Tools for Measuring Agreement, Springer, NY (prerequisite). We will discuss definitions of precision/ accuracy/agreement and pitfalls of some misleading approaches. For continuous data we will start with the basic scenario of two assays/raters each with one measurement. We will consider the case of random or fixed target values for un-scaled (absolute) and scaled (relative) indices with constant or proportional error structure. For categorical data we will introduce traditional approaches with the basic scenario for un-scaled and scaled indices. We will present the convergence of approaches for categorical and continuous data. For both continuous and categorical data we will present examples of a unified approach for agreement among multiple raters each with multiple replicates. We will also present examples of a flexible and general setting where the agreement of certain cases can be compared relative to the agreement of a chosen case. Many practical examples will be presented in a wide variety of situations.

Registration Fees:
Member of the Section for Medical Devices and Diagnostics (MDD): $40
ASA Member: $65
Nonmember: $85

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).

Register



Access Information
Registered persons will be sent an email the afternoon of Tuesday, September 22, with the access information to join the webinar and the link to download and print a copy of the presentation slides.




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Title: Leveraging R and Shiny for Point and Click ADaM Analysis
Presenter: Ian Fleming, D-Wise
Date and Time: Thursday, October 8, 2015, 11:00 a.m. - 12:30 p.m. Eastern time
Sponsor: Section for Statistical Programmers and Analysts

Registration Deadline: Tuesday, September 22, at 12:00 p.m. Eastern time

Description:
In the process of adopting CDISC standards, we have seen point and click types of tools designed around providing standard reports using SDTM data as a source. When dealing with ADaM though, there are few options. This talk will center on the attempt to build a basic point and click analysis tool using ADaM data as a source using Shiny, an R development library intended to accommodate rapid and dynamic HTML reports. The process of rapid prototyping in Shiny as well as the different reports that can be automatically generated from this tool will be discussed.

Registration Fees:
Member of the Section for Statistical Programmers and Analysts: $40
ASA Member: $65
Nonmember: $85

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).

Register



Access Information
Registered persons will be sent an email the afternoon of Tuesday, September 22, with the access information to join the webinar and the link to download and print a copy of the presentation slides.




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Title: Statistics for the World of Open Data
Presenter: Mark Elbert, Director, Office of Web Management, Energy Information Administration and Jay Meisenheimer, Chief, Division of New Media, Bureau of Labor Statistics
Date and Time: Tuesday, October 20, 2015, 3:00 p.m. - 4:00 p.m. Eastern time
Sponsor: American Statistical Association and the Association of Public Data Users

Description:
In commemoration of World Statistics Day, Mark Elbert of the Energy Information Administration (EIA) and Jay Meisenheimer of the Bureau of Labor Statistics (BLS) will talk about the exciting innovate ways their agencies are making their data available to the public to make it more accessible, insightful, and appealing. Meisenheimer will discuss how BLS uses data visualizations to tell interesting stories about the labor market and economy and Elbert will discuss how EIA uses relational metadata to create a data-ecosystem of interlinked online query tools, interactive charts and maps, and a robust open data program.

Registration Fees:
Registration is free to members of ASA

APDU is hosting this webinar. Go to the APDU website (http://apdu.org/2015/08/03/statistics-for-the-world-of-open-data/) to register.




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Title: Nonlinear Mixed Effects Models with Applications in Pharmacokinetic/Pharmacodynamic (PK/PD) Modeling
Presenter: Balakrishna Hosmane, Northern Illinois University, and Sandeep Dutta, AbbVie
Date and Time: Wednesday, October 28, 2015, 12:00 p.m. - 2:00 p.m. Eastern time
Sponsor: Biopharmaceutical Section

Registration Deadline: Monday, October 26, at 12:00 p.m. Eastern time

Description:
Nonlinear mixed effects models have been used extensively in PK and PK/PD modeling. Several statistical packages have been developed to implement these highly computationally complex and statistically challenging models. The PK/PD modeling is used for investigating the patterns of exposure, pharmacodynamics effects including safety and efficacy endpoints to help the efficient drug development process, regulatory decision making and rational drug treatment in patients.

This presentation will include:

o Importance of PK-PD modeling at different stages of drug development.
o Discussion of nonlinear mixed effects (NLME) models including statistical estimation of model parameters.
o Examples of NLME Model fitting using existing software including NONMEM.
o Different types of PK and PD models routinely used in exposure-response analyses of clinical trial data, and the classification of PD models based on (i) the nature of drug effects (direct vs indirect response models, reversible vs irreversible effects, empirical vs. mechanistic vs. physiological models), or (ii) type of data (continuous, categorical, logistic, time to event).

Registration Fees:
Biopharmaceutical Section Members: FREE
ASA Members: $59
Nonmembers: $74

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).

Register



Access Information
Registered persons will be sent an email the afternoon of Monday, October 26, with the access information to join the webinar and the link to download and print a copy of the presentation slides.