'Potential confounding variables' presentation slideshows

Epidemiology Module 3: Systematic and Random Error (Biases and Statistical Precision)

Epidemiology Module 3: Systematic and Random Error (Biases and Statistical Precision). Tuhina Neogi, MD, PhD, FRCPC Steven Vlad, MD Clinical Epidemiology Research and Training Unit Boston University School of Medicine. Goals.

1.74k views • 122 slides

Statistics for Science Journalists

Statistics for Science Journalists. Steve Doig Cronkite School of Journalism. Common Research Methods. Randomized experiments: Measure deliberate manipulation of the environment Observational studies: Measure the differences that occur naturally

768 views • 68 slides

Multiple Regression III 4/16/12

Multiple Regression III 4/16/12. More on categorical variables Missing data Variable Selection Stepwise Regression Confounding variables. Not in book. Professor Kari Lock Morgan Duke University. To Do. Project 2 Presentation (Thursday, 4/19) Project 2 Paper (Wednesday, 4/25).

580 views • 44 slides

Confounding

Confounding. Confounding is an apparent association between disease and exposure caused by a third factor not taken into consideration A confounder is a variable that is associated with the exposure and, independent of that exposure, is a risk factor for the disease. Examples.

992 views • 37 slides

Cohort studies

Cohort studies. Design Concepts in Nutritional Epidemiology Barrie M. Margetts and Michael Nelson. Contents General considerations Practical issues Infancy and childhood Adults The elderly Concluding remarks Appendix Checklist for planning a cohort study Analysis of cohort studies.

1.05k views • 36 slides

Experimental Design making causal inferences

Experimental Design making causal inferences. Causal and Effect. The IV precedes the DV in time The IV and DV are correlated There are no plausible additional variables that could reasonably explain the correlation. The Gold Standard. What are the differences between these types of studies?

302 views • 29 slides

Class 7: Thurs., Sep. 30

Class 7: Thurs., Sep. 30. Outliers and Influential Observations. Outlier: Any really unusual observation. Outlier in the X direction (called high leverage point): Has the potential to influence the regression line.

378 views • 24 slides

Multiple Baseline Designs

Multiple Baseline Designs. Chapter 7 Single Subject Research and Design. Multiple Baseline. Description Multiple measures are used to obtain data over two or more baselines The end result appears visually as a series of A-B designs on top of one another

957 views • 22 slides

Guidelines for Critically Reading the Medical Literature

Guidelines for Critically Reading the Medical Literature. John L. Clayton, MPH. Purpose of the Study. What are the objectives in performing the study? What is (are) the research questions being asked? Why was this study conducted?. Study Design. What type of study was performed?

415 views • 19 slides

First Annual Virginia Distracted Driving Summit

279 views • 14 slides

SMOKERS

203 views • 3 slides