Education > Continuing Education

Web-Based Lectures

Previously recorded webinars are available through the LearnSTAT OnDemand program.

Current Webinar Offerings:


June 4, 2015 Using SAS and LaTeX to Create Documents with Reproducible Results
June 17, 2015 NIH Opportunities for Theory, Modeling, Computation, and Statistics Researchers
June 24, 2015 Propensity Score Methods for Estimating Causal Effects in Pharmaceutical Research
July 16, 2015 Mixed Models for Longitudinal Categorical Outcomes




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Title: Using SAS and LaTeX to Create Documents with Reproducible Results
Presenter: Tim Arnold, SAS Institute, Inc.
Date and Time: Thursday, June 4, 2015, 11:00 a.m. - 12:30 p.m. Eastern time
Sponsor: Section for Statistical Programmers and Analysts

Registration Deadline: Tuesday, June 2, at 12:00 p.m. Eastern time

Description:
This webinar will describe the StatRep system for reproducible research. The StatRep system uses SAS and the LaTeX typesetting system to create documents with reproducible results. It consists of a LaTeX package, a suite of SAS macros and a user guide.

The LaTeX package provides two environments and two tags that work together to display your SAS code and results and to generate the SAS program that produces those results. The generated SAS program includes calls to the StatRep SAS macros that use the SAS Output Delivery System (ODS) document to capture the output as external files.

With the StatRep system, you can share your LaTeX document with colleagues and be sure that your results are reproducible.

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, June 2, 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: NIH Opportunities for Theory, Modeling, Computation, and Statistics Researchers
Presenter: Gregory Farber, Director, Office of Technology Development and Coordination, National Institute of Mental Health
Date and Time: Wednesday, June 17, 2015, 1:00 p.m. - 2:00 p.m. Eastern time
Sponsor: Mental Health Statistics Section

Registration Deadline: Monday, June 15, at 12:00 p.m. Eastern time

Description:
The National Institutes of Health works to improve health and save lives. Quantitative researchers play a key part in these efforts. This talk will discuss the various programs that might be of interest to the statistics community. Areas that will be covered include the Big Data to Knowledge (BD2K) effort, the BRAIN Initiative, new NIMH expectations for data sharing, and some of the many databases that make data freely available to the research community.

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 Monday, June 15, 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: Propensity Score Methods for Estimating Causal Effects in Pharmaceutical Research
Presenter: Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
Date and Time: Wednesday, June 24, 2015, 12:00 p.m. - 2:00 p.m. Eastern time
Sponsor: Biopharmaceutical Section

Registration Deadline: Monday, June 22, at 12:00 p.m. Eastern time

Description:
Propensity scores are an increasingly common tool for estimating the effects of interventions in observational ("non-experimental") settings and for answering complex questions in randomized controlled trials. They can be of great use in pharmaceutical and health services research, for example helping assess broad population effects of drugs, devices, or biologics already on the market, especially investigating post-marketing safety outcomes, or for answering questions regarding the outcomes of long-term use using claims data. This webinar will discuss the importance of the careful design of observational studies, and the role of propensity scores in that design, with the main goal of providing practical guidance on the use of propensity scores to estimate causal effects. The webinar will briefly cover the primary ways of using propensity scores to adjust for confounders when estimating the effect of a particular "cause" or "intervention," including weighting, subclassification, and matching. Topics covered will include how to specify and estimate the propensity score model, selecting covariates to include in the model, diagnostics, and common challenges and solutions. Software for implementing analyses using propensity scores will also be briefly discussed. The webinar will also highlight recent advances in the propensity score literature, with a focus on topics particularly relevant for pharmaceutical contexts, including prognostic scores, covariate balancing propensity scores, methods for non-binary treatments (such as dosage levels of a drug or when comparing multiple drugs, devices, or biologics simultaneously), and approaches to be used when there are large numbers of covariates available (as in claims 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, June 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: Mixed Models for Longitudinal Categorical Outcomes
Presenter: Donald Hedeker
Date and Time: Thursday, July 16, 2015, 12:00 p.m. - 2:00 p.m. Eastern time
Sponsor: Mental Health Statistics Section

Registration Deadline: Tuesday, July 14, at 12:00 p.m. Eastern time

Description:
This webinar will focus on analysis of longitudinal data using mixed models. Because dichotomous, ordinal and nominal outcomes are common in many areas of research, this webinar will mainly consider the mixed logistic regression model, and generalizations of it. Specifically, the following models will be described: mixed logistic regression for dichotomous outcomes, mixed logistic regression for nominal outcomes, and mixed proportional odds and non-proportional odds models for ordinal outcomes. The latter models are useful because the proportional odds assumption of equal covariate effects across the cumulative logits of the model is often unreasonable. Use of the program SuperMix for these models will be described and illustrated.

Registration Fees:
Member of the Mental Health Statistics Section: $75
ASA Member: $90
Nonmember: $105

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, July 14, with the access information to join the webinar and the link to download and print a copy of the presentation slides.