'Binary response' presentation slideshows

Lecture 9: Marginal Logistic Regression Model and GEE (Chapter 8)

Lecture 9: Marginal Logistic Regression Model and GEE (Chapter 8). Marginal Logistic Regression Model and GEE. Marginal models are suitable to estimate population average parameters. For example, in the Indonesian study, a marginal model can be used to address questions such as:

1.29k views • 55 slides

Puzzles and Patterns in 50 years of Research on Speech Perception

Puzzles and Patterns in 50 years of Research on Speech Perception. Sarah Hawkins University of Cambridge sh110@cam.ac.uk. Three periods. 1950-1965 Broad-based exploration

643 views • 51 slides

Puzzles and Patterns in 50 years of Research on Speech Perception

Puzzles and Patterns in 50 years of Research on Speech Perception. Sarah Hawkins University of Cambridge sh110@cam.ac.uk. Three periods. 1950-1965 Broad-based exploration

621 views • 51 slides

Week 4

Week 4. 11/23/07. Five General Item-Writing Commandments. 1. Thou shall not provide opaque directions to students regarding how to respond to your assessment instruments. Five General Item-Writing Commandments. 2. Thou shall not employ ambiguous statements in your assessment items.

596 views • 44 slides

REALCOM

REALCOM. An ESRC research project at Bristol University. Multilevel models for realistically complex data. Methodology and examples for:. Measurement errors Multilevel Structural equations Multivariate responses at several levels and of different types. General Format. MATLAB software

435 views • 31 slides

REALCOM

REALCOM. An ESRC research project at Bristol University. Multilevel models for realistically complex data. Methodology and examples for:. Measurement errors Multilevel Structural equations Multivariate responses at several levels and of different types. General Format. MATLAB software

402 views • 31 slides

REALCOM

REALCOM. An ESRC research project at Bristol University. Multilevel models for realistically complex data. Methodology and examples for:. Measurement errors Multilevel Structural equations Multivariate responses at several levels and of different types. General Format. MATLAB software

315 views • 31 slides

Summary of Remainder

Summary of Remainder. Harry R. Erwin, PhD School of Computing and Technology University of Sunderland. Resources. Crawley, MJ (2005) Statistics: An Introduction Using R. Wiley. Freund, RJ, and WJ Wilson (1998) Regression Analysis, Academic Press.

366 views • 29 slides

Markov Chains: Transitional Modeling

Markov Chains: Transitional Modeling. Qi Liu. content. Terminology Transitional Models without Explanatory Variables Inference for Markov chains Data Analysis : Example 1 (ignoring explanatory variables) Transitional Models with Explanatory Variables

492 views • 28 slides

Presented by Zhu Jinxin

416 views • 26 slides

Considering Cost Asymmetry in Learning Classifiers

Considering Cost Asymmetry in Learning Classifiers . by Bach, Heckerman and Horvitz. Presented by Chunping Wang Machine Learning Group, Duke University May 21, 2007. Outline. Introduction SVM with Asymmetric Cost SVM Regularization Path ( Hastie et al., 2005 ) Path with Cost Asymmetry

299 views • 20 slides

Chapter 17 Comparing Two Proportions

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2006. 2010. 2007. 2009. 2008. Nowcasting the emergent spread of White-nose Syndrome in Indiana bats. Wayne E. Thogmartin , USGSUpper Midwest Environmental Sciences Center , La Crosse, WI, wthogmartin@usgs.gov ;

21 views • 1 slides