Search Results - subject:"non-inferiority"

Interval-based hypothesis testing and its applications to economics and finance

Kim, Jae H.; Robinson, Andrew - In: Econometrics 7 (2019) 2, pp. 1-22

, and psychology, namely, tests for minimum-effect, equivalence, and non-inferiority. We present the methods in the contexts …

Persistent link: https://www.econbiz.de/10012696236

Interval-based hypothesis testing and its applications to economics and finance

Kim, Jae H.; Robinson, Andrew - In: Econometrics : open access journal 7 (2019) 2/21, pp. 1-22

, and psychology, namely, tests for minimum-effect, equivalence, and non-inferiority. We present the methods in the contexts …

Persistent link: https://www.econbiz.de/10012025786

Regular preorders and behavioral indifference

Ribeiro, Mauricio; Riella, Gil - In: Theory and decision : an international journal for … 82 (2017) 1, pp. 1-12

Persistent link: https://www.econbiz.de/10011740281

Robust designs in non-inferiority three arm clinical trials with presence of heteroscedasticity

Dette, Holger; Trampisch, Matthias; Hothorn, Ludwig A. - 2007

In this paper, we describe an adjusted method to facilitate a non-inferiority trial by a three-arm robust design … in non inferiority three arm trials. …

Persistent link: https://www.econbiz.de/10010298205

What kind of preference maximization does the weak axiom of revealed non-inferiority characterize?

Lombardi, Michele - 2007

connection between the behavioral property expressed by the weak axiom of revealed non-inferiority and a weak notion of …

Persistent link: https://www.econbiz.de/10010284171

Robust designs in non-inferiority three arm clinical trials with presence of heteroscedasticity

Dette, Holger; Trampisch, Matthias; Hothorn, Ludwig A. - Institut für Wirtschafts- und Sozialstatistik, … - 2007

In this paper, we describe an adjusted method to facilitate a non-inferiority trial by a three-arm robust design … in non inferiority three arm trials. …

Persistent link: https://www.econbiz.de/10009219855

A numerical investigation of the accuracy of parametric bootstrap for discrete data

Lloyd, Chris J. - In: Computational Statistics & Data Analysis 61 (2013) C, pp. 1-6

Standard first order tests have size error that decreases as m−1/2 where m is a measure of sample size. Parametric bootstrap tests use an exact calculation of the P-value, assuming nuisance parameters equal their null maximum likelihood estimates. It is commonly believed that their performance...

Persistent link: https://www.econbiz.de/10011056497

Testing ratio of marginal probabilities in clustered matched-pair binary data

Yang, Zhao; Sun, Xuezheng; Hardin, James W. - In: Computational Statistics & Data Analysis 56 (2012) 6, pp. 1829-1836

marginal probabilities) between a new and an existing procedures. To assess non-inferiority (a new procedure is, to a pre … nominal Type I error even for small numbers of clusters. Thus, to design and evaluate non-inferiority via a ratio of marginal … to illustrate testing non-inferiority. …

Persistent link: https://www.econbiz.de/10011056523

Testing non-inferiority for clustered matched-pair binary data in diagnostic medicine

Yang, Zhao; Sun, Xuezheng; Hardin, James W. - In: Computational Statistics & Data Analysis 56 (2012) 5, pp. 1301-1320

Testing non-inferiority in active-controlled clinical trials examines whether a new procedure is, to a pre …-specified amount, no worse than an existing procedure. To assess non-inferiority between two procedures using clustered matched …). In evaluating non-inferiority for a clustered matched-pair study, one should consider all of these issues when choosing …

Persistent link: https://www.econbiz.de/10010574441

Simultaneous score confidence bounds for risk differences in multiple comparisons to a control

Klingenberg, Bernhard - In: Computational Statistics & Data Analysis 56 (2012) 5, pp. 1079-1089

Asymptotic simultaneous lower (upper) confidence bounds for risk differences arising from comparing several treatments to a common control are constructed by inverting the maximum (minimum) of score statistics. With a few exceptions, these bounds perform better in terms of simultaneous coverage...

Persistent link: https://www.econbiz.de/10010574476