Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism

Li, Huiqiong1; Tian, Guoliang2; Tang, Niansheng1; Cao, Hongyuan3,4

2018-11

10.1016/j.csda.2018.05.009

COMPUTATIONAL STATISTICS & DATA ANALYSIS   影响因子和分区

0167-9473

1872-7352

Testing equivalence of incomplete paired data arises frequently in biomedical studies. Most existing work impose the missing at random assumption, which is not realistic in practice. Two Bayesian approaches for testing the non-inferiority of incomplete paired data under non-ignorable missing mechanism are presented. In addition, Bayesian credible intervals and highest posterior density intervals for the risk difference are constructed. Simulation studies are conducted to evaluate the performance of the two Bayesian testing procedures and the credible intervals. Two datasets are used to illustrate the proposed methods. (c) 2018 Elsevier B.V. All rights reserved.

Bayesian p-values Credible intervals Highest posterior density intervals Non-inferiority test Incomplete paired data

SCI ; EI

英语

其他

Science Foundation of Yunnan Province[2016FB005]

Computer Science ; Mathematics

Computer Science, Interdisciplinary Applications ; Statistics & Probability

WOS:000439748700005

ELSEVIER

20182505336331

Bayesian networks ; Probability

Combinatorial Mathematics, Includes Graph Theory, Set Theory:921.4 ; Probability Theory:922.1 ; Mathematical Statistics:922.2

MATHEMATICS

Web of Science

1.Yunnan Univ, Dept Stat, Kunming, Yunnan, Peoples R China
2.Southern Univ Sci & Technol, Dept Math, Shenzhen, Peoples R China
3.Jilin Univ, Sch Math, Ctr Appl Stat Res, Changchun, Jilin, Peoples R China
4.Univ Missouri, Dept Stat, Columbia, MO 65211 USA

Li, Huiqiong,Tian, Guoliang,Tang, Niansheng,et al. Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS,2018,127:69-81.

Li, Huiqiong,Tian, Guoliang,Tang, Niansheng,&Cao, Hongyuan.(2018).Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism.COMPUTATIONAL STATISTICS & DATA ANALYSIS,127,69-81.

Li, Huiqiong,et al."Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism".COMPUTATIONAL STATISTICS & DATA ANALYSIS 127(2018):69-81.