PPT-Confounding An apparent association between disease and exposure caused by a third factor

Confounder is a variable that is associated with the exposure and independent of that exposure is a risk factor for the disease Multiple regression allows us to add additional variables into our equation holding these additional covariate constantadjusting for confounding. What is silica Silica is a natural substance found in most rocks sand and clay and in products such as bricks and concrete Silica is also used as filler in some plastics In the workplace these materials create dust when they are cut sanded carved et TO EPIDEMIOLO FOR POME . 105.. Lesson . 3. :. R H THEKISO:SENIOR PAT TIME LECTURER. INE . OF PRESENTATION. Epidemiologic measures of . association. Study designs allowing for association measurement. Epidemiology . matters: a new introduction to methodological foundations. Chapter . 8. Seven steps. Define . the population of . interest. Conceptualize . and create measures of exposures and health indicators. CHP 646 . Dr. Holly Gaff. 2. Lecture Overview. Gordis - Chapter 14. Inference. Gordis Chapter 15. Bias, confounding and interaction. Gordis - Chapter 16. Genetic and environmental factors. Brief overview of adjusting RR and OR. M. A. Yushuf Sharker. Assistant Scientist. Center. for Communicable diseases. Icddr,b. yushuf@icddrb.org. Measures of Disease Exposure Association. Does coffee drinking affect the risk of pancreatic cancer?. Prepared for:. Agency for Healthcare Research and Quality (AHRQ). www.ahrq.gov. This presentation will:. Propose and describe planned sensitivity analyses. Describe important subpopulations in which measures of effect will be assessed for homogeneity . Standard definition of confounding. A confounder is . Associated with the exposure in the study base. Associated with disease in the unexposed . Not in the causal pathway. Criteria for confounding in genetic association studies. Two types of confounding. 1. . A . cofounding variable . hides. . a . non-apparent. . relationship between . two variables. 2. . A cofounding variable (at least partly) . explains away. . an . apparent. 4. Considerations for Interpretation. Confounding. 1. . Introduction. Understanding what the data can tell us and cannot tell us. 2. 3. Approach to understanding the data. If we see an association, what other possible explanations can there be besides causation?. Dr.MUSTAQUE. AHMED. MBBS,MD(COMMUNITY MEDICINE),. FELLOWSHIP IN HIV/AIDS. OBJECTIVE OF THE CLASS. TO UNDERSTAND THE ASSOCIATION AND CAUSATION IN EPIDEMIOLOGY. 2. DESCRIPTIVE STUDIES- suggest an etiological hypothesis.. Dr. . Sireen. . Alkhaldi. Community Medicine . 2016/ 1017. Faculty of Medicine, The University of Jordan. Measures of Association. Odds . Ratio. Chi-square. Relative Risk or Risk Ratio. Attributable . . Bsc. . Veterinary Medicine . Bsc. . Public health. Master of HSM at KU. Chapter 03. Types of . Studies. Key messages. Choosing . the appropriate study design is a crucial step in an . epidemiological investigation. OCCUPATIONAL MEDICINE SPECIALIST. PHYSIOLOGY. Regulation of electrolytes . Maintenance of acid-base balance. Regulation of BP . Remove wastes from the blood. Reabsorption. of H2O,G,AA. Produce hormones. to Causation. What is a Cause?. Merriam-Webster Dictionary. : Something that brings about a result especially a person or thing that is the agent of bringing something about.. KJ Rothman. : An event, condition, or characteristic without which the disease would not have occurred..