Professional Development > Continuing Education

Continuing Education offerings consist of Continuing Education (CE) courses and Computer Technology Workshops (CTW). The courses cover a range of topics including topics that may have been missed in graduate school, such as survival analysis or sampling, or those that are considerably more current, such as big data and computational aspects of Bayesian data analysis. Courses are offered in two-day, one-day, and half-day formats on Saturday, Sunday, Monday, and Tuesday. Computer Technology Workshops are offered in two-hour intervals on Wednesday. For CE courses, an hour and a half break beginning at 12:30 p.m. is provided for attendees to have lunch on their own. The ASA will provide beverages for midmorning and midafternoon CE course breaks. Persons can register for CE and CTW offerings when JSM registration opens.

A complete list of CE Course and CTW offerings along with descriptions can be found in the JSM Online Program.

Excellence-in-CE Award

Courses that exceed expectations in quality, content, and presentation are recognized with the Excellence-in-CE award from the Advisory Committee on Continuing Education (ACCE). This year, many past Excellence-in-CE award winners have returned to present courses to help ASA "Celebrate our Past" during this 175th Anniversary year. Here is the full list of past Excellence-in-CE Award winners:

JSM 2000
Charles S. Davis, Statistical Methods for the Analysis of Ordered Categorical Data

JSM 2001
Thomas Lang and Michelle Secic, Writing Effectively and Communicating with Nonstatisticians

Ralph O'Brien, Determining Sample Size

G. Rex Bryce, Roger Hoerl, and Ron Snee, Teaching an Introductory Statistics Course Based on Statistical Thinking

JSM 2002
Geert Verbeke and Geert Molenberghs, Longitudinal Data Analysis

Alan Agresti, Analysis of Repeated Categorical Measurement Data

JSM 2003
David Draper, Intermediate/Advanced Bayesian Hierarchical Modeling

JSM 2004
Geert Verbeke and Geert Molenberghs, Longitudinal and Incomplete Data

JSM 2005
Pete Westfall, Multiple Comparisons and Multiple Tests

Alex Dmitrienko, Christy Chuang-Stein, and Geert Molenberghs, Analysis of Clinical Trials: Theory and Applications

JSM 2006
Garrett Fitzmaurice, Applied Longitudinal Analysis

JSM 2007
David Spiegelhalter, Bayesian Modelling in Practice

JSM 2008
Paul Allison, Multiple Imputation of Missing Data

Geert Verbeke and Geert Molenberghs, Models for Discrete Repeated Measures

JSM 2009
Paul Allison, Multiple Imputation of Missing Data

Greg Piepel and John Cornell, Methods for Designing and Analyzing Mixture Experiments

JSM 2010
Donald Berry, Brad Carlin, J. Jack Lee, and Scott Berry, Bayesian Adaptive Methods for Clinical Trials

JSM 2011
Geert Verbeke, Geert Molenberghs, and Dimitris Rizopoulos, Foundations and Recent Advances in Longitudinal and Incomplete Data

Anastasios Tsiatis, Semiparametric Theory and Missing Data

JSM 2012
Brian Wiens, Design and Analysis of Non-Inferiority Trials

JSM 2013
Rick Wicklin, Techniques for Simulating Data in SAS