Data Analysis and Interpretation by Victor J. Schoenbach

11947 Words48 Pages
14. Data analysis and interpretation Concepts and techniques for managing, editing, analyzing and interpreting data from epidemiologic studies. Key concepts/expectations This chapter contains a great deal of material and goes beyond what you are expected to learn for this course (i.e., for examination questions). However, statistical issues pervade epidemiologic studies, and you may find some of the material that follows of use as you read the literature. So if you find that you are getting lost and begin to wonder what points you are expected to learn, please refer to the following list of concepts we expect you to know: Need to edit data before serious analysis and to catch errors as soon as possible. Options for data cleaning – range…show more content…
Assess potential for bias (e.g., nonresponse, refusal, and attrition, comparison groups) 4. Estimate measures of frequency and extent (prevalence, incidence, means, medians) 5. Estimate measures of strength of association or effect 6. Assess the degree of uncertainty from random noise (“chance”) 7. Control and examine effects of other relevant factors 8. Seek further insight into the relationships observed or not observed 9. Evaluate impact or importance Preparatory work – Data editing In a well-executed study, the data collection plan, including procedures, instruments, and forms, is designed and pretested to maximize accuracy. All data collection activities are monitored to ensure adherence to the data collection protocol and to prompt actions to minimize and resolve missing ____________________________________________________________ _________________________________ © Victor J. Schoenbach 14. Data analysis and interpretation – 452 rev. 3/29/2004, 6/27/2004, 7/22/2004 and questionable data. Monitoring procedures are instituted at the outset and maintained throughout the study, since the faster irregularities can be detected, the greater the likelihood that they can be resolved in a satisfactory manner and the sooner preventive measures can be instituted. Nevertheless, there is often the need to “edit” data, both before and after they are computerized. The first step is “manual” or “visual editing”. Before forms are keyed

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