Statistics

 Submit Abstract
The Statistics Section invites the submission of individual abstracts, groups of abstracts (Special Interest Sessions), and student abstracts (Student Paper Session) related to:
  • Behavioral Statistics
  • Biostatistical Methods
  • Biostatistics and Public Health: Methods and Education
  • Classification Issues in Public Health Policy
  • Counterterrorism and Biomedical Surveillance I: Methods and Data
  • Counterterrorism and Biomedical Surveillance II: Methods and Data (cont'd)
  • Counterterrorism and Biomedical Surveillance IIII: Active Bacterial Core Surveillance (ABCs) System
  • Counterterrorism and Biomedical Surveillance IV: Statistical Reasoning in the Public Health Response to Anthrax (Speigelman Award Session)
  • Current Public Health Issues: Statistical Analyses
  • Data Mining Applications in Health Data
  • Disability Statistics
  • Geographic Information Systems (GIS) Methods for Health Data Analysis
  • Health Care Utilization Surveys
  • Health Information Management Issues
  • Health Services Research: Methods, Models, Data
  • Improvements in Data Collectin, and Other Issues in Health Statistics
  • Individual and Community Indicators of Health Status and Health Disparities
  • Information Technology, Indicators, and Surveillance Data in Environmental and Public Health
  • Mapping - Data Mining - Report Cards
  • Methodological Issues in Health Surveys
  • Methodological Issues in Screening
  • Methods for Health Examination Surveys
  • Multi-level Analysis of Racial Disparities in Preterm Birth Rates and Individual and Neighborhood Characteristics
  • Privacy and Confidentiality in Health Data
  • Statistical Issues for Epidemiological Studies
  • Statistical Issues in Environment Health Research
  • Statistical Issues in Genetics and Genome Research
  • Statistical Issues in Identifying and Countering Bioterrorism
  • Statistical Issues in Pharmachology
  • Statistical Modeling Applications in Health
  • Survey, Epidemiologic, and Clinical Methods
  • Tracking Healthy People 2010
  • Web, GIS, and PC Methods in Public Health Statistics
  • Web-based Data Collection Issues
Papers on other topics of relevance to statistics in public health are welcome, however note that the Statistics Section sessions focus on the development and application of new statistical methods in public health. Routine analyses of data should be submitted to the Section or Special Interest Group related to the subject matter of the analysis.

If you are submitting an abstract that is linked with other abstracts in a joint session, submit the abstract on-line and notify the Statistics Section Program Chair, Andy White, of the group of abstracts with which yours belongs.

Individual Abstract Submissions
Submit individual abstracts according to the on-line instructions. (Non-students need submit only an abstract; enter "N/A" where a summary is requested.) Abstracts are judged on clarity of presentation, originality, methodology and contribution to the field of statistics. Highest rated abstracts, based on blinded peer review, are generally selected and placed in sessions according to the overall program plan. Note that oral presentations at contributed sessions are generally 15 minutes in length. Presenters at poster sessions should display their work and be available to answer questions throughout the scheduled 90-minute session. Preferences for oral versus poster presentation will be considered, but the Program Committee will consider all abstracts for both oral and poster categories. Individuals should submit material only if they are committed to presenting the paper or poster themselves or to finding a substitute willing to register, attend the meeting and present the paper or poster.

Student Research Session
The Statistics Section is also accepting abstract submissions for a student research session. Students wishing to be considered for this session should submit online an abstract and also a 2-page summary of the paper. The author must be a member of the Statistics Section. A letter from a faculty member attesting to the author's student status must also be provided to the Program Chair. If you are not able to submit your 2-page summary through the website, please e-mail it to Andy White at awhite@nas.edu.

Special Interest Session Proposals
The Statistics Section also invites the submission of proposals for special interest sessions pertinent to the "Behavior, Lifestyle, and Social Determinants of Health" theme of this Annual Meeting. Submit individual abstracts for a Special Interest Session according to the on-line instructions. The Special Interest Session organizer should also submit a written proposal for the session by mail or e-mail to the Program Chair. The proposal should include
  1. the organizer's full mailing address, e-mail address, telephone and fax numbers;
  2. session title;
  3. a brief (1-2 pages) overview describing the purpose, relevance and importance of the proposed session;
  4. topics and participants, including the proposed presiders(s), titles of each presentation, full names of all authors, with full names of presenters underlined (as in the on-line abstract);
  5. a time schedule within the session (begin the session at 0:00 hrs and end it at 1:30).
A presentation at a Special Interest Session may be up to 30 minutes in length. We suggest that Special Interest Sessions allow time for a discussant.

Review of Special Interest Sessions
All Special Interest Session proposals and abstracts will be peer reviewed. All abstracts will be evaluated on their individual merits; acceptance of a Special Interest Session does not guarantee that all abstracts submitted for that session will be accepted, or that they can all be scheduled together. Unless instructed otherwise, the Program Committee will automatically consider the individual abstracts from any rejected Special Interest Session for possible presentation in Contributed Abstract sessions.

Program Planner Contact Information:
Andrew A. White, MPH,PhD
Committee on National Statistics
The National Academies
500 Fifth Street, NW, Room 1059
Washington, DC 20001
Phone: (202) 334-3096
Fax: (202) 334-3751
awhite@nas.edu

and
Michael A. Stoto, PhD
Statistics group and RAND Health
RAND
1200 South Hayes St.
Arlington, VA 22202-5050
Phone: 703-413-1100 x5472
Fax: 703-413-8111
mstoto@rand.org