Bayesian Sensitivity-Specificity and ROC Analysis for Finding Key Drivers-Reference-Cited by-同舟云学术

Bayesian Sensitivity-Specificity and ROC Analysis for Finding Key Drivers

Published:2021-08-31 Issue:1 Volume:19 Page:2-15
ISSN:1538-9472
Container-title:Journal of Modern Applied Statistical Methods
language:en
Short-container-title:J. Mod. Appl. Stat. Methods

Author:

Lipovetsky Stan¹,Conklin Michael W.¹

Affiliation:

1. GfK North America, Minneapolis

Abstract

Finding key drivers in regression modeling via Bayesian Sensitivity-Specificity and Receiver Operating Characteristic is suggested, and clearly interpretable results are obtained. Numerical comparisons with other techniques show that this methodology can be useful in practical statistical modeling and analysis helping to researchers and managers in making meaningful decisions.

Publisher

Wayne State University Library System

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference20 articles.

1. The base-rate fallacy and the difficulty of intrusion detection

2. Beyond Global Measures of Relative Importance: Some Insights from Dominance Analysis

3. The Dimensionality of Customer Satisfaction Survey Responses and Implications for Driver Analysis

4. Customer satisfaction analysis: Identification of key drivers

5. Cook, J. D. (2018, September 6). Accuracy, precision, and recall. John D. Cook Consulting. Retrieved from https://www.johndcook.com/blog/2018/09/06/accuracy-precision-and-recall/

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prioritization and decision-making: A brief review of methods;Model Assisted Statistics and Applications;2023-03-24

2. Statistics in marketing research: A brief review on special methods and applications;Model Assisted Statistics and Applications;2022-08-26