From CCI

Jump to: navigation, search

Upcoming Seminars




Past Seminars


Biostatistics Seminar Series

The CTSC Biostatistics, Epidemiology, and Research Design Core, in conjunction with the CCI Statistical Sciences Core, will offer stand-alone educational seminars to researchers who would like to increase their knowledge of commonly used research study designs and statistical concepts. Seminars will emphasize concepts and strive for understanding of key issues in biostatistics. Specific statistical analysis techniques and use of statistical programs will not be featured. Examples will be used extensively throughout – real examples from the literature or experience will be used whenever possible. There is no fee to attend this seminar series. Sessions will be offered once a month beginning at noon in Wolstein 6136, lasting 1 hour to 1.5 hours each.

Seminars will not be given during the months of January, February, and March because Dr. Mark Schluchter is providing a seminar series on applied biostatistics in clinical research, sponsored by the CTSC at CWRU and the William T. Dahms Clinical Research Unit at CWRU .

Audience: Case/UH physician investigators (medical students, residents, fellows, faculty); nurse investigators; study co-ordinators

Current seminars in this series:



A CTSC Seminar Series for Research Personnel

The CCI Data Management Core will offer an ongoing series of educational seminars exploring various issues in the collection, storage, and management of research data. Seminars will range from general coverage of key data management concepts to specific technical topics in data management, database design, and statistical programming.

Seminars will be held the second Wednesday of the month, beginning November 11, 2009 and extending through June 9, 2010. All seminar sessions are held from 12:00 - 1:00 PM in Wolstein Research Building 6136.

Suitable for data managers, data coordinators, project coordinators, principal investigators, and all research personnel interested in gaining a further understanding of the research data they collect.

Current seminars in this series:



Association and Causation

Wednesday, April 28, 2010

Noon - 1:30 pm

Wolstein Research Building (WRB), Room 6136

Presenter: Vinay Cheruvu

Part of the monthly seminar series Selected Topics in Biostatistics.

Association and causation are not the same. Association does not necessarily imply causation. While causation implies that there is a true mechanism that leads from exposure to disease, studies that show an association between the two does not necessarily imply that the exposure causes the disease. This seminar introduces formal definitions of association and causal effects and methods that distinguish association from causation. Criteria to study association and causation are discussed. Confounding, interaction, the difference between the two and its role to study association and causation is discussed.

Slides



Prediction Modeling

Wednesday, May 26, 2010

Noon - 1:30 pm

Wolstein Research Building (WRB), Room 6136

Presenter: Denise Babineau

Part of the monthly seminar series Selected Topics in Biostatistics.

Clinical prediction models combine a number of characteristics related to the patient, the disease, or the treatment to predict a diagnostic or prognostic outcome and are often used to guide decision-making once a diagnosis is made. This seminar will review appropriate study design for the development of prediction models, measures of predictive ability (overall performance, discrimination, calibration, and clinical usefulness), and generalizability of predictive models using internal/external validation. Predictive models that have been recently developed will be discussed.

Slides



Missing Data

Wednesday, June 23, 2010

Noon - 1:30 pm

Wolstein Research Building (WRB), Room 6136

Presenter: Brian Schmotzer

Part of the monthly seminar series Selected Topics in Biostatistics. In this seminar, we will discuss the issue of missing data and its impact on medical research. Topics will include why and how data goes missing in the first place, what are the different types of missing data, strategies for dealing with missing data, and what are the repercussions for good versus bad strategies.

Slides



Data Types

Wednesday, November 11, 2009

Noon - 1:00 pm

Wolstein Research Building (WRB), Room 6136

Presenter: Sue Caban

Part of the monthly seminar series Topics in Managing Data.

This seminar will explain the various types of data encountered in research settings.

Suitable for data managers, data coordinators, project coordinators, principal investigators, and all research personnel interested in gaining a further understanding of the research data they collect.

Slides



Data Cleaning Part 1: Ranges and Distributions of Numeric Variables

Wednesday, April 14, 2010

Noon - 1:00 pm

Wolstein Research Building (WRB), Room 6136

Presenter: TBD

Part of the monthly seminar series Topics in Managing Data.

This seminar will explore general approaches to cleaning both continuous and categorical numeric data, and will provide examples of application of those principles using SQL and SAS.

Slides



Unleashing the Power of PROC FORMAT

Wednesday, January 13, 2010

Noon - 1:00 pm

Wolstein Research Building (WRB), Room 6136

Presenter: Nathan Johnson

Part of the monthly seminar series Topics in Managing Data.

This seminar will present practical applications of data formats in SAS, from basic presentation of data to more advanced and creative uses. Examples will be presented showing how the SAS Format Procedure can be used for data cleaning and transformation, creation and use of permanent format catalogs, and creation of formats from a dataset or table.

Suitable for data managers, statisticians, statistical programmers, data coordinators, investigators, and other research personnel using SAS for data management or analysis.

Slides



SQL Workshop: MS SQL Server Management Studio

Wednesday, February 10, 2010

Noon - 1:00 pm

Wolstein Research Building (WRB), Room 6136

Part of the monthly seminar series Topics in Managing Data.

This seminar is a live demonstration of using Microsoft SQL Server Management Studio to develop and manage databases in SQL Server 2005 and 2008. Differences between the new version and MS SQL Server Enterprise Manager will be explored. If time permits basic concepts of SQL will be discussed.

The format of this seminar is that of a workshop and open discussion with live demo. Suitable for research personnel developing or managing databases in MS SQL Server.



Questionnaire Design Part 1: Content

Wednesday, December 9, 2009

Noon - 1:00 pm

Wolstein Research Building (WRB), Room 6136

Presenter: Sue Caban

Part of the monthly seminar series Topics in Managing Data.

This seminar will cover topics related to development of the content of a questionnaire, interview, or survey you intend to use in a research setting. Ways to improve wording of questions, the structure of the questionnaire (self-administered or interview format), and coding of responses for more efficient data entry, cleaning, and analysis will be covered in this session.

A separate session (Questionnaire Design, Part 2: Layout) will cover layout issues such as organization of your questionnaire, layout of the form, and administration.

Suitable for data managers, data coordinators, project coordinators, principal investigators, and all research personnel interested in gaining a further understanding of the research data they collect.

Slides



Questionnaire Design Part 2: Layout and Administration

Wednesday, March 17, 2010

Noon - 1:00 pm

Wolstein Research Building (WRB), Room 6136

Presenter: Sue Caban

Part of the monthly seminar series Topics in Managing Data.

This seminar will cover topics related to development of a research questionnaire, interview, or survey specifically geared towards how the layout and intended administration of the instrument affect design decisions.

Suitable for data managers, data coordinators, project coordinators, principal investigators, and all research personnel interested in gaining a further understanding of the research data they collect.

Slides