Categorical Data Analysis Commons™
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Recent Articles in Categorical Data Analysis
The Net Reclassification Index (Nri): A Misleading Measure Of Prediction Improvement With Miscalibrated Or Overfit Models, Margaret Pepe, Jin Fang, Ziding Feng, Thomas Gerds, Jorgen Hilden 
COBRA
The Net Reclassification Index (Nri): A Misleading Measure Of Prediction Improvement With Miscalibrated Or Overfit Models, Margaret Pepe, Jin Fang, Ziding Feng, Thomas Gerds, Jorgen Hilden
UW Biostatistics Working Paper Series
The Net Reclassification Index (NRI) is a very popular measure for evaluating the improvement in prediction performance gained by adding a marker to a set of baseline predictors. However, the statistical properties of this novel measure have not been explored in depth. We demonstrate the alarming result that the NRI statistic calculated on a large test dataset using risk models derived from a training set is likely to be positive even when the new marker has no predictive information. A related theoretical example is provided in which a miscalibrated risk model that includes an uninformative marker is proven to erroneously ...
Analysis Of Alcohol Use Among Pregnant Women In San Luis Obispo County, Samantha Law 
California Polytechnic State University
Analysis Of Alcohol Use Among Pregnant Women In San Luis Obispo County, Samantha Law
Statistics
Drinking alcohol during pregnancy is harmful to the fetus, and can lead to serious alcohol related developmental birth defects. Utilizing prenatal screening, such as the 4P’s Plus© screening tool, during a woman’s first prenatal doctors visit can help educate women and reduce continued alcohol use during pregnancy. Currently the CDC reports that 1 in 13 women in the US drink alcohol while pregnant compared to local reports that 1 in 3 women in San Luis Obispo County continue to drink alcohol during pregnancy. A primary concern for many local county health care experts and organizations is to raise ...
Analysis Of Median Household Income Differences Between Election Day-Vbm And Eip Voters, Mark Salling, Norman Robbins 
Cleveland State University
Analysis Of Median Household Income Differences Between Election Day-Vbm And Eip Voters, Mark Salling, Norman Robbins
Urban Publications
Analysis of early in-person (EIP) voting in 2008 in Cuyahoga County shows that African-American, white, and Hispanic voters who used EIP voting had significantly lower incomes than members of those same groups who voted on election day or by mail. This result applies to those voting EIP on weekdays, extended weekday hours, weekends, and the three days before election day.
Group Testing Regression Models, Boan Zhang 
University of Nebraska - Lincoln
Group Testing Regression Models, Boan Zhang
Dissertations and Theses in Statistics
Group testing, where groups of individual specimens are composited to test for the presence or absence of a disease (or some other binary characteristic), is a procedure commonly used to reduce the costs of screening a large number of individuals. Statistical research in group testing has traditionally focused on a homogeneous population, where individuals are assumed to have the same probability of having a disease. However, individuals often have different risks of positivity, so recent research has examined regression models that allow for heterogeneity among individuals within the population. This dissertation focuses on two problems involving group testing regression models ...
Comparative Analysis Of Dispersion Parameter Estimates In Loglinear Modeling: Applied To E-Commerce Sales And Customer Data, Scott Davis California Polytechnic State University
Comparative Analysis Of Dispersion Parameter Estimates In Loglinear Modeling: Applied To E-Commerce Sales And Customer Data, Scott Davis
Statistics
When loglinear models are applied to count data the issue of over-dispersion often arises. Moment and maximum likelihood estimation methods in accounting for over-dispersion are widely used because they allow for model checking tools such as Chi-square, F, and likelihood ratio tests. Here is a comparison between R functions that each uses one method; glm.nb uses MLE, and glm.poisson.disp uses MME. The Index of Dissimilarity and visual model selection (ECDF plots) are also incorporated. These are applied to sales data using product and customer information compiled over the last five years that was generously provided by an ...
Library Technical Services Process Improvement Based On Lean, Richard J. Zwiercan, Cyrus Zarganj Ford, Greg W. Voelker 
University of Nevada, Las Vegas
Library Technical Services Process Improvement Based On Lean, Richard J. Zwiercan, Cyrus Zarganj Ford, Greg W. Voelker
Presentations (Libraries)
Lean Thinking … is to see and eliminate Muda ‘waste’ – which is essentially any activity in which absorbs resources but creates no value.
Popular Institutions
Popular Authors
Margaret Pepe
COBRA
Jin Fang
COBRA
Thomas Gerds
COBRA
Jorgen Hilden
COBRA
Ziding Feng
COBRA
ron myers
Florida International University
Mark Salling
Cleveland State University
William Oris
Western Kentucky University
Scott Davis
California Polytechnic State University
Swetha Valluri
University of Massachusetts - Amherst
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Popular Articles
The Net Reclassification Index (Nri): A Misleading Measure Of Prediction Improvement With Miscalibrated Or Overfit Models, Margaret Pepe, Ziding Feng, Jin Fang, Thomas Gerds, Jorgen Hilden
Generalized Mcnemar's Test For Homogeneity Of The Marginal Distributions
The Effects Of The Use Of Technology In Mathematics Instruction On Student Acheivement, ron myers
Spatial Analysis Of Fatal Automobile Crashes In Kentucky, William Oris
Analyzing Financial Data Through Interactive Visualization, Fizi Yadav
A Bayesian Chi-Squared Test For Goodness Of Fit, Valen Johnson
A Unified Approach To Modeling Multivariate Binary Data Using Copulas Over Partitions, Brian Caffo, Bruce Swihart
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