Gengsheng Qin

Inferences in Censored Cost Regression Models with Empirical Likelihood (2005)

For a continuous-scale diagnostic test, the most commonly used summary index of the receiver operating characteristic (ROC) curve is the area under the curve (AUC) that measures the accuracy of the...

Zhou, Xiao-Hua, Qin, Gengsheng, Lin, Huazhen, Li, Gang

In many studies of health economics, we are interested in the expected total cost over a certain period for a patient with given characteristics. Problems can arise if cost estimation models do not...

Empirical Likelihood Inference for the Area Under the ROC Curve (2005)

Inferences in Censored Cost Regression Models with Empirical Likelihood (2005)

For a continuous-scale diagnostic test, the most commonly used summary index of the receiver operating characteristic (ROC) curve is the area under the curve (AUC) that measures the accuracy of the...

Zhou, Xiao-Hua, Qin, Gengsheng, Lin, Huazhen, Li, Gang

In many studies of health economics, we are interested in the expected total cost over a certain period for a patient with given characteristics. Problems can arise if cost estimation models do not...

Empirical Likelihood Inference for the Area Under the ROC Curve (2005)

Inferences in Censored Cost Regression Models with Empirical Likelihood (2005)

For a continuous-scale diagnostic test, the most commonly used summary index of the receiver operating characteristic (ROC) curve is the area under the curve (AUC) that measures the accuracy of the...

Zhou, Xiao-Hua, Qin, Gengsheng, Lin, Huazhen, Li, Gang

In many studies of health economics, we are interested in the expected total cost over a certain period for a patient with given characteristics. Problems can arise if cost estimation models do not...

Empirical Likelihood Inference for the Area Under the ROC Curve (2005)

Inferences in Censored Cost Regression Models with Empirical Likelihood (2005)

For a continuous-scale diagnostic test, the most commonly used summary index of the receiver operating characteristic (ROC) curve is the area under the curve (AUC) that measures the accuracy of the...

Zhou, Xiao-Hua, Qin, Gengsheng, Lin, Huazhen, Li, Gang

In many studies of health economics, we are interested in the expected total cost over a certain period for a patient with given characteristics. Problems can arise if cost estimation models do not...

Empirical likelihood based inference for the derivative of the nonparametric regression function (2005)

Qin, Gengsheng, Tsao, Min

We study statistical inference for the derivative of the nonparametric regression function using local linear model based empirical likelihood. We first derive a normal equation for the derivative...

New Confidence Intervals for the Difference between Two Sensitivities at a Fixed Level of Specificity (2005)

New Confidence Intervals for the Difference between Two Sensitivities at a Fixed Level of Specificity (2005)

For two continuous-scale diagnostic tests, it is of interest to compare their sensitivities at a predetermined level of specificity. In this paper we propose three new intervals for the difference...

New Confidence Intervals for the Difference between Two Sensitivities at a Fixed Level of Specificity (2005)

For two continuous-scale diagnostic tests, it is of interest to compare their sensitivities at a predetermined level of specificity. In this paper we propose three new intervals for the difference...

New Confidence Intervals for the Difference between Two Sensitivities at a Fixed Level of Specificity (2005)

For two continuous-scale diagnostic tests, it is of interest to compare their sensitivities at a predetermined level of specificity. In this paper we propose three new intervals for the difference...

Saddlepoint approximations to the trimmed mean (2004)

For two continuous-scale diagnostic tests, it is of interest to compare their sensitivities at a predetermined level of specificity. In this paper we propose three new intervals for the difference...

Helmers, Roelof, Jing, Bing-Yi, Qin, Gengsheng, Zhou, Wang

Saddlepoint approximations for the trimmed mean and the studentized trimmed mean are established. Some numerical evidence on the quality of our saddlepoint approximations is also included.

A New Confidence Interval for the Difference Between Two Binomial Proportions of Paired Data (2003)

A New Confidence Interval for the Difference Between Two Binomial Proportions of Paired Data (2003)

Motivated by a study on comparing sensitivities and specificities of two diagnostic tests in a paired design when the sample size is small, we first derived an Edgeworth expansion for the studentized...

A New Confidence Interval for the Difference Between Two Binomial Proportions of Paired Data (2003)

Motivated by a study on comparing sensitivities and specificities of two diagnostic tests in a paired design when the sample size is small, we first derived an Edgeworth expansion for the studentized...

A New Confidence Interval for the Difference Between Two Binomial Proportions of Paired Data (2003)

Motivated by a study on comparing sensitivities and specificities of two diagnostic tests in a paired design when the sample size is small, we first derived an Edgeworth expansion for the studentized...

Improved Confidence Intervals for the Sensitivity at a Fixed Level of Specificity of a Continuous-Scale Diagnostic Test (2003)

Motivated by a study on comparing sensitivities and specificities of two diagnostic tests in a paired design when the sample size is small, we first derived an Edgeworth expansion for the studentized...

Improved Confidence Intervals for the Sensitivity at a Fixed Level of Specificity of a Continuous-Scale Diagnostic Test (2003)

For a continuous-scale test, it is an interest to construct a confidence interval for the sensitivity of the diagnostic test at the cut-off that yields a predetermined level of its specificity (eg....

Improved Confidence Intervals for the Sensitivity at a Fixed Level of Specificity of a Continuous-Scale Diagnostic Test (2003)

For a continuous-scale test, it is an interest to construct a confidence interval for the sensitivity of the diagnostic test at the cut-off that yields a predetermined level of its specificity (eg....

Improved Confidence Intervals for the Sensitivity at a Fixed Level of Specificity of a Continuous-Scale Diagnostic Test (2003)

For a continuous-scale test, it is an interest to construct a confidence interval for the sensitivity of the diagnostic test at the cut-off that yields a predetermined level of its specificity (eg....

New Intervals for the Difference Between Two Independent Binomial Proportions (2003)

For a continuous-scale test, it is an interest to construct a confidence interval for the sensitivity of the diagnostic test at the cut-off that yields a predetermined level of its specificity (eg....

New Intervals for the Difference Between Two Independent Binomial Proportions (2003)

In this paper we gave an Edgeworth expansion for the studentized difference of two binomial proportions. We then proposed two new intervals by correcting the skewness in the Edgeworth expansion in a...

New Intervals for the Difference Between Two Independent Binomial Proportions (2003)

In this paper we gave an Edgeworth expansion for the studentized difference of two binomial proportions. We then proposed two new intervals by correcting the skewness in the Edgeworth expansion in a...

New Intervals for the Difference Between Two Independent Binomial Proportions (2003)

In this paper we gave an Edgeworth expansion for the studentized difference of two binomial proportions. We then proposed two new intervals by correcting the skewness in the Edgeworth expansion in a...