Education > Continuing Education

Web-Based Lectures

Previously recorded webinars are available through the LearnSTAT OnDemand program.

Current Webinar Offerings:


February 18, 2016 Bayesian Methods for Evidence Synthesis and Network Meta-Analysis
February 25, 2016 How to Create Presentations that People Will Actually Remember
March 1, 2016 Mobile Phone-based Data Collection and Analysis




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Title: Bayesian Methods for Evidence Synthesis and Network Meta-Analysis
Presenter: Brad Carlin, Division of Biostatistics, University of Minnesota
Date and Time: Thursday, February 18, 2016, 1:00 p.m. - 3:00 p.m. Eastern time
Sponsor: Biopharmaceutical Section and Section

Registration Deadline: Tuesday, February 16, 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 and increasing encouragement from regulatory authorities. This two-hour webinar introduces modern Bayesian methods and software for evidence synthesis and network meta-analysis (NMA). In particular, we show how Bayesian methods can facilitate borrowing of strength across treatments, trials, and outcomes (say, both safety and efficacy), as well as provide a natural framework for filling in missing data values that respect the underlying correlation structure in the data. Our discussion will cover both contrast- and arm-based approaches to NMA, ranking of treatments, adjusting for confounders, handling individual-level patient data, and checking for network inconsistency. Time permitting, we tie in recent advances in adaptive incorporation of historical data, both randomized and observational, and indicate the approach's value in evaluating treatments for rare and pediatric diseases.

Registration Fees:
Biopharmaceutical Section Members: $0
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 Tuesday, February 16, 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: How to Create Presentations that People Will Actually Remember
Presenter: Annie Pettit
Date and Time: Thursday, February 25, 2016, 1:00 p.m. - 2:00 p.m. Eastern time
Sponsor: Survey Research Methods Section

Registration Deadline: Tuesday, February 23, at 12:00 p.m. Eastern time

Description:
You might think that choosing the most salient pieces of information and copying them into a presentation is all that is required to communicate research findings with an audience. That is false. In order to engage an audience and help them to follow and believe in your argument, you must follow some basic presentation techniques. And that doesn't mean adding clip-art to every other page. In this webinar, you will learn how to tailor your presentation for conferences versus other types of events. You will learn how to set-up slides so that audiences can quickly and easily identify the most important information, as well as learn techniques to help keep audience members engaged and able to follow your train of thought. This webinar in a must for anyone who wants to spark serious conversations at conferences such as ASA, ENAR/WNAR, or ISI WSC, or gain an extra edge on the job market.

Presenter: Annie Pettit, Ph.D., is Chief Research Officer at Peanut Labs, an online market research company. Annie is a market research methodologist with fifteen years of experience in data quality of online surveys, research panels, and social media research, working across a spectrum of methodologies, be that quantitative, online panels, sampling, Big Data, and analytics. She is excited by the opportunity to project her expertise in psychology of visual perception of survey layouts such as web pages to improve the ways research presentations can be designed and delivered.

Registration Fees:
SRMS Members: $40
AAPOR Members: $40
ASA Members: $50
Nonmembers: $60

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, February 23, 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: Mobile Phone-based Data Collection and Analysis
Presenter: Scott Comulada
Date and Time: Tuesday, March 1, 2016, 12:00 p.m. - 1:30 p.m. Eastern time
Sponsor: Mental Health Statistics Section

Registration Deadline: Friday, February 26, at 12:00 p.m. Eastern time

Description:
Mobile phones are gaining in popularity as a data collection instrument in many fields of research, given their ability to reduce study costs, data entry errors, and study participant burden relative to traditional methods of data collection. Moreover, mobile phones introduce new types of data that can be collected, such as GPS location traces. Despite opportunities, researchers and statisticians face challenges in learning about the array of emerging mobile technologies that are at their disposal and how best to utilize mobile phones in their studies. In this vein, this webinar will provide a brief introduction to mobile phone-based data collection and analysis, with an emphasis on applications in public health studies. The first part of the webinar will focus on study design considerations, including data security protocols, the level of assessment sophistication that is needed (e.g., smart phone app versus SMS text), types of data that can be collected, and trade-offs in different data types. The second part of the webinar will discuss analytic approaches for mobile phone data that often consists of data collected over many time points. Discussion will include the analysis of episodic patterns, such as drug use, and extensions of traditional longitudinal regressions to model mean responses and variation over time. Analyses will be applied to mobile data on substance use in adolescents and data on diet and exercise in mothers. Code to implement analyses in SAS and R is available.

Registration Fees:
Member of the Mental Health Statistics Section: $60
ASA Member: $90
Nonmember: $110

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 Friday, February 26, with the access information to join the webinar and the link to download and print a copy of the presentation slides.