Data Skills Training

 

MCH Analytic Skills Online (at the University of Illinois at Chicago, School of Public Health) provides the following Skillbytes:

Target Population
Estimation
(Requires Internet Explorer 3.0 and above)

This module describes estimating target populations for program planning.  It specifically describes estimating populations of children with special health care needs using National survey data.

Using Census Data

This module describes census data and how to use it, including an exercise for obtaining census data on the internet.

Software Tips 1:
Moving Data to Excel

This tutorial demonstrates how to move saved SAS or Epi-Info output into Excel.  For practice, SAS and Epi-Info data sets,  SAS programs, and text files are available for download. 

Software Tips 2:
Calculating IMR in SAS

This tutorial discusses software issues involved when calculating rates from individual level data. We demonstrate an approach in SAS for generating correct numerators and denominators, producing output with infant mortality rates on a per 1,000 basis.  In order to complete this tutorial, sample SAS datasets and SAS programs are provided.
Infant Mortality
Trend Analysis

This tutorial describes how the state of Hawaii used trend analysis to gain a better understanding of its infant mortality rates.

Cumulative Teen Pregnancy

This skillbyte presents a method for calculating the cumulative risk of first time teen pregnancy.. The skillbyte discusses the conceptual basis for this measure, describes both its advantages and limitations, illustrates how to calculate it, and provides two ready-to-use Microsoft Escel workbooks that allow users to enter their own data and automatically calculate the cumulative risk of first time teen pregnancy.

Click Here to Register for a Skillbyte

 


The Enhanced Analytical Skills through Online Access (at the The University of California, Berkeley)

This is an activity of the School of Public Health in collaboration with the Family Health Outcomes Project at the University of California at San Francisco.

Instructor Course Dates Description
FHOP group EAS On-Line: March 1, 1999 Using Quantitative Data in MCH Planning
UCB group EAS On-Line: May 1, 1999 Cost Analysis and Decision Making in MCH
UCB group Face-to-Face Workshop: May 13 and 14, 1999 Cost Analysis and Decision Making in MCH
UCB group EAS On-Line: Oct. 15, 1999 Cost Analysis and Decision Making in MCH
UCB and CMIL group EAS On-Line: Late '99 Using Quantitative Data in MCH Planning-Asynchronous course
UCB and FHOP group EAS On-Line: Feb. 2000 Program Evaluation

 


The Enhancing Data Utilization Skills through Information Technology (EDUSIT) initiative is a Department of Maternal and Child Health, School of Public Health, distance learning project.

The EDUSIT training model includes a self-paced, modular web-based data skills development course with both didactic and applied components. At least two participants will be recruited from each of 13 states in DHHS Regions III, IV, and VI (North Carolina, South Carolina, Georgia, Mississippi, Tennessee, Kentucky, Alabama, Maryland, Virginia, Louisiana, Arkansas, New Mexico, Arizona).

The training covers the following six modules:

Essential Skills
Qualitative Data Collection and Analysis
Measuring Social Inequalities in Health
Planning for Quantitative Data Analysis
Economic Analysis for MCH Programs
Applying Geographical Information Systems (GIS) to Public Health Problems

 

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