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Statistical Inferences for the Youden Index

Zhou, Haochuan - 2011

of sensitivity and specificity for all the possible values of the cut-point. This dissertation concentrates on …

Persistent link: https://www.econbiz.de/10009480799

Empirical Likelihood Confidence Intervals for the Sensitivity of a Continuous-Scale Diagnostic Test

Davis, Angela Elaine - 2007

lead to improved treatment and thus reduce medical mistakes. The sensitivity and specificity are two important measurements … confidence interval for the sensitivity at a fixed level of specificity for the test. In this thesis, we propose three empirical … likelihood intervals for the sensitivity. Simulation studies are conducted to compare the empirical likelihood based confidence …

Persistent link: https://www.econbiz.de/10009463421

Comparative assessment of three common algorithms for estimating the variance of the area under the nonparametric receiver operating characteristic curve

Cleves, Mario A. - 2002

The area under the receiver operating characteristic (ROC) curve is often used to summarize and compare the discriminatory accuracy of a diagnostic test or modality, and to evaluate the predictive power of statistical models for binary outcomes. Parametric maximum likelihood methods for fitting...

Persistent link: https://www.econbiz.de/10009442283

Correcting verification bias in the assessment of the accuracy of diagnostic tests

He, Hua (1969; McDermott, Michael P.; Huang, Li-shan

Sensitivity and specificity are common measures of the accuracy of a diagnostic test. The usual estimators of these … connecting the (sensitivity, 1? specificity) points at each cutpoint of the test using step functions and/or line segments. This …, possibly depending on the result of the diagnostic test and other characteristics of the subjects. Estimators of sensitivity …

Persistent link: https://www.econbiz.de/10009482975

Comparison of scoring systems for invasive pests using ROC analysis and Monte Carlo simulations

Mittinty, Murthy; Makowski, David

assessing scoring systems. Its principle is to simulate virtual data using a stochastic model and, then, to estimate sensitivity … and specificity values from these data for different scoring systems. The interest of our approach was illustrated in a …

Persistent link: https://www.econbiz.de/10009483617

Semiparametric Analysis of Recurrent Events Data in the Presence of Dependent Censoring

Ghosh, Debashis; Lin, D. Y. - 2003

Dependent censoring occurs in longitudinal studies of recurrent events when the censoring time depends on the potentially unobserved recurrent event times. To perform regression analysis in this setting, we propose a semiparametric joint model that formulates the marginal distributions of the...

Persistent link: https://www.econbiz.de/10009476569

Accelerated Rates Regression Models for Recurrent Failure Time Data

Ghosh, Debashis - 2004

In this article, we formulate a semiparametric model for counting processes in which the effect of covariates is to transform the time scale for a baseline rate function. We assume an arbitrary dependence structure for the counting process and propose a class of estimating equations for the...

Persistent link: https://www.econbiz.de/10009477086

Mixed Discrete and Continuous Cox Regression Model

Prentice, Ross L.; Kalbfleisch, John D. - 2003

The Cox (1972) regression model is extended to include discrete and mixed continuous/discrete failure time data by retaining the multiplicative hazard rate form of the absolutely continuous model. Application of martingale arguments to the regression parameter estimating function show the...

Persistent link: https://www.econbiz.de/10009477091

Treatment Comparison in Biomedical Studies Using Survival Function

Zhao, Meng - 2011

In the dissertation, we study the statistical evaluation of treatment comparisons by evaluating the relative comparison of survival experiences between two treatment groups. We construct confidence interval and simultaneous confidence bands for the ratio and odds ratio of two survival functions...

Persistent link: https://www.econbiz.de/10009463366

Spline-based sieve semiparametric generalized estimating equation for panel count data

Hua, Lei - 2010

In this thesis, we propose to analyze panel count data using a spline-basedsieve generalized estimating equation method with a semiparametric proportional mean model E(N(t)|Z) = Λ0(t) eβT0Z. The natural log of the baseline mean function, logΛ0(t), is approximated by a monotone cubic B-spline...

Persistent link: https://www.econbiz.de/10009466051