Dealing with missing observations in the outcome and covariates in randomized controlled trials

IF 1.1 4区数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Computation and Simulation Pub Date : 2023-12-08 DOI:10.1080/00949655.2023.2291533

Mutamba T. Kayembe, Frans E. S. Tan, Gerard J. P. van Breukelen, Shahab Jolani

引用次数: 0

Abstract

This article compares different missing data methods in randomized controlled trials, specifically addressing cases involving joint missingness in the outcome and covariates. In the existing litera...

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处理随机对照试验中结果和协变量的缺失观测数据

本文比较了随机对照试验中不同的数据缺失方法，特别是涉及结果和协变量共同缺失的情况。在现有的文献中，缺失数据的处理方法有很多种。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Statistical Computation and Simulation 数学-计算机：跨学科应用

CiteScore

2.30

自引率

8.30%

发文量

156

审稿时长

4-8 weeks

期刊介绍： Journal of Statistical Computation and Simulation ( JSCS ) publishes significant and original work in areas of statistics which are related to or dependent upon the computer. Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems. JSCS does not consider applications of statistics to other fields, except as illustrations of the use of the original statistics presented. Accepted papers should ideally appeal to a wide audience of statisticians and provoke real applications of theoretical constructions.