'Dichotomous variables' diaporamas de présentation

Regression Models and Variable types

Regression Models and Variable types. Joel Mefford meffordj@humgen.ucsf.edu. 03/08/2013. Polytomous Exposures and Outcomes. Rothman, Greenland, and Lash: Ch. 17. Polytomous Exposures and Outcomes.

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Biostat 200 Introduction to Biostatistics

Biostat 200 Introduction to Biostatistics. Lecture 1. Course instructors. Course director Judy Hahn, M.A., Ph.D. Associate Professor in Residence Phone: (415) 597-4961 Office: 50 Beale St., Suite 1300 Judy.hahn@ucsf.edu TAs

760 views • 62 slides

Regression Models and polytomous Variables

Regression Models and polytomous Variables. Joel Mefford meffordj@humgen.ucsf.edu. 03/02/2012. Polytomous Exposures and Outcomes. Rothman, Greenland, and Lash: Ch. 17. Polytomous Exposures and Outcomes.

738 views • 62 slides

Real Statistics Using Excel

Real Statistics Using Excel. 102521088 ? ??. Out line . Confidence and prediction intervals for regression Exponential Regression Model Power Regression Model Linear regression models for comparing means. Confidence and prediction intervals for regression.

645 views • 39 slides

Cross-Tabs With Ordinal Variables

Cross-Tabs With Ordinal Variables. 10/29/2013. Readings. Chapter 7 Tests of Significance and Measures of Association (Pollock) (pp. 155-179) Chapter 5 Making Controlled Comparisons (Pollock Workbook ) Chapter 7 Chi-Square and Measures of Association (Pollock Workbook ).

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Contingency Tables

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Chapter 7: Measures of Association for Nominal and Ordinal Variables

Chapter 7: Measures of Association for Nominal and Ordinal Variables. Proportional Reduction of Error (PRE) Degree of Association For Nominal Variables Lambda For Ordinal Variables Gamma Using Gamma for Dichotomous Variables. Measures of Association.

848 views • 30 slides

Crosstabs & Measures of Association

Crosstabs & Measures of Association. POL242 October 9 and 11, 2012 Jennifer Hove. Questions of Causality. Recall: Most causal thinking in social sciences is probabilistic, not deterministic: as X increases, the probability of Y increases, not that X invariably produces Y

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Chapter 16: Correlation

Chapter 16: Correlation. Correlations: Measuring and Describing Relationships. A correlation is a statistical method used to measure and describe the relationship between two variables.

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Atkinson (1957) Motivational Determinants of Risk-Taking Behavior

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Regression III

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Chapter Two SCIENTIFIC METHODS IN BUSINESS

Chapter Two SCIENTIFIC METHODS IN BUSINESS. Sources of Knowledge. Empiricists attempt to describe, explain, and make predictions through observation Rationalists believe all knowledge can be deduced from known laws or basic truths of nature

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Logistic Regression

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Breaking Up is Hard to Do: The Heartbreak of Dichotomizing Continuous Variables

Breaking Up is Hard to Do: The Heartbreak of Dichotomizing Continuous Variables. David L. Streiner Nour Kteily PSY 1950. The Danger of Dichotomizing. Reduced statistical power Increased probability of type II error

263 views • 9 slides