Analytic Resources/Tools
Clinical Case Classification Algorithm
Purpose
Classify the cases (infants and fetuses) in your registry in a clinical sense, for example into isolated, multiple, etc.
By modifying the spreadsheet, you can adapt it to your birth defect coding scheme and to the categories into which you want to classify cases.
Download the SAS Code, Excel file, Project Documentation, and Project Description
- User Guide/ Data Dictionary (file name: User guide to case classification v2.docx)
- Project Description (file name: NBDPN BD case classification project decription.docx)
- Excel Diagnostic Code Map (file name: dxmap.xls)
- SAS Program (file name: classify cases v3.sas)
Sample Analyses in SAS
Sample analyses in SAS that demonstrate the use of PROC GLM, PROC FREQ, PROC GENMOD, and PROC UNIVARIATE
Author: Peter Langlois
Author: Peter Langlois
- Anova Regression (file name: anovaregression1.sas)
- Chi-Square Logistic Regression (file name: chisquarelogisticregn.sas)
- Poisson Regression - Crude (file name: poisregncrude.sas)
- Poisson Regression - Multiple (file name: poisregnmultiple.sas)
- Prevalence and Confidence Intervals - Crude (file name: prevandconfintlcrude.sas)
- Prevalence and Confidence Intervals - Stratum Specific (file name: prevandconfintlstratumspecific.sas)
- Summarizing Data (file name: summarizingdata.sas)
Data Presentation Resources
Chapter 11 of the NBDPN Guidelines for Conducting Birth Defects Surveillance focuses on Data Presentation (available at https://www.nbdpn.org/guidelines.php).
Additional resources that might be of interest to NBDPN members are available here on more complex data presentation, such as information density, continuous data, and plotting irregular confidence intervals
Additional resources that might be of interest to NBDPN members are available here on more complex data presentation, such as information density, continuous data, and plotting irregular confidence intervals
External Resources
Making Data Meaningful: A Guide to Writing Stories about Numbers
The United Nations Economic Commission for Europe developed this guide as a practical tool to bring statistics to life. It contains suggestions, guidelines and examples of how to use effective writing techniques to make data meaningful.