PPT-Moving Beyond Odds Ratios: Estimating and Presenting Absolu

Ashley H Schempf PhD MCH Epidemiology Training Course June 2 2012 Acknowledgements Jay Kaufman PhD McGill University Presentation at 17 th Annual MCH Epidemiology Conference New Orleans LA. They should not be considered the same as relative risk ratios When hazard ratios are used in survival analysis this may have nothing to do with dying or prolonging life but r eflects the analysis of time survived to an event the event may in some i Ratios ratios are one number expressed in relation to another by dividing the one number by the other For example the sex ratio of Delaware in 1990 was 343200 females to 322968 males or 106 This can easily be expressed in terms of males to females 9 Differences in preservice elementary school teachers perceptions between divisibility by two or evenness and divisibility by another number have been observed This led to an inquiry into participants understanding of the parity of the whole numbers Ashley H. Schempf, PhD. MCH Epidemiology Training Course. June 2, . 2012. Acknowledgements. Jay Kaufman, PhD. McGill University. Presentation . at 17. th. Annual MCH Epidemiology Conference. New Orleans, LA. With an Emphasis on Contingency . Tables. Students in PSYC 2101. Skip to Slide . # 7. . Random Variable. A . random variable. is real valued function defined on a sample space. .. The . sample space. Outline:. Ratios!. What is a Ratio? . How to Use Ratios? . How to Simplify?. . Proportions!. What is a proportion?. Properties of proportions?. How to use proportions? . Mysterious Problems…. Statistical Significance,. Effect Size, and. Sample Size. Brief review. Causation vs. Correlation. When two variables A and B are correlated, there are four possibilities:. A causes B. B causes A. A common cause C causes both A and B. Binary Models. Erik Nesson. Ball State University. MBSW 2013. 1. Outline. Overview of LDVs. Binary Outcome Models. Linear Probability Model. Logit. and . Probit. Interpretation of Coefficients. Odds ratios vs. marginal effects. Statistical Significance,. Effect Size, and. Sample Size. Brief review. Causation vs. Correlation. When two variables A and B are correlated, there are four possibilities:. A causes B. B causes A. A common cause C causes both A and B. Verdict x Defendant Physical Attractiveness. Mock jurors were significantly more likely to find the defendant guilty when he was unattractive (75.7%) than when he was attractive . (65.0%), . . 2. (1, . Disclaimer. Information and strategies contained in this . presentation . are intended as educational information only and should not be used as a sole trading guide. International currency, stock index or commodity prices can be highly volatile and unpredictable. The past is not a guide to future performance and strategies that have worked in the past may not work in the future. Fixed odds financial trading involves a high level of risk and may not be suitable for all customers. The value of any trade, and income derived from it can go down as well as up and your capital is at risk. Although due care has been taken in preparing this document, we disclaim liability for any inaccuracies or omissions.. Ashley H. Schempf, PhD. MCH Epidemiology Training Course. June 2, 2012. Acknowledgements. Jay Kaufman, PhD. McGill University. Presentation . at 17. th. Annual MCH Epidemiology Conference. New Orleans, LA. A comparison between two quantities . For every . x. units of one quantity, there are . y. units of another. A Ratio is…. Using a colon . Example:. . 2:3. As a fraction . Example: . Quiz 6A. . A comparison of two numbers by division. Ratio. . A comparison of two quantities that have different kinds of units. Rate. . A rate in which the second quantity is 1.. Unit Rate. . Ratios, Rates, Unit Rates, & Conversion Factors.