A general method for elicitation, imputation, and sensitivity analysis for incomplete repeated binary data.
A general method for elicitation, imputation, and sensitivity analysis for incomplete repeated binary data.
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DOI：
10.1002/sim.8584
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发表时间：
2020-09-30
影响因子：
2
通讯作者：
White IR
中科院分区：
文献类型：
--
作者：
Tompsett D;Sutton S;Seaman SR;White IR
我们开发并演示了进行敏感性分析的方法，以评估不完整重复二元结果数据中随机缺失的合理偏离的敏感性。我们在非随机完全条件规范框架中使用多重插补，该框架包括每个不完整变量的一个或多个敏感性参数（SP）。使用一个在线的启发式问卷证明，以获得专家意见的SP，和最高的先验密度区域一起使用的意见汇集方法，以显示可信的地区SP。我们证明，实质性的结论可以更敏感的偏离随机缺失的假设（MAR）时，控制和干预无应答者偏离MAR不同，并表明，在专家意见的相关性臂特定SP是特别重要的。我们在iQuit实践戒烟试验中说明了这些方法，该试验比较了定制的短信系统与标准护理对戒烟的影响。我们发现，关于干预对8周和6个月戒烟结果的影响的结论对MAR的偏离基本不敏感，只有当两个试验组中无应答者之间的行为差异大于专家意见判断时，结论才会受到显著影响。
We develop and demonstrate methods to perform sensitivity analyses to assess sensitivity to plausible departures from missing at random in incomplete repeated binary outcome data. We use multiple imputation in the not at random fully conditional specification framework, which includes one or more sensitivity parameters (SPs) for each incomplete variable. The use of an online elicitation questionnaire is demonstrated to obtain expert opinion on the SPs, and highest prior density regions are used alongside opinion pooling methods to display credible regions for SPs. We demonstrate that substantive conclusions can be far more sensitive to departures from the missing at random assumption (MAR) when control and intervention nonresponders depart from MAR differently, and show that the correlation of arm specific SPs in expert opinion is particularly important. We illustrate these methods on the iQuit in Practice smoking cessation trial, which compared the impact of a tailored text messaging system versus standard care on smoking cessation. We show that conclusions about the effect of intervention on smoking cessation outcomes at 8 week and 6 months are broadly insensitive to departures from MAR, with conclusions significantly affected only when the differences in behavior between the nonresponders in the two trial arms is larger than expert opinion judges to be realistic.
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DOI：
10.1111/add.12556
发表时间：
2014-07
期刊：
Addiction (Abingdon, England)
影响因子：
--
作者：
Naughton F;Jamison J;Boase S;Sloan M;Gilbert H;Prevost AT;Mason D;Smith S;Brimicombe J;Evans R;Sutton S
通讯作者：
Sutton S
影响因子：
1.1
作者：
Yan, Xu;Lee, Shiowjen;Li, Ning
通讯作者：
Li, Ning
影响因子：
4.9
作者：
Morris, David E.;Oakley, Jeremy E.;Crowe, John A.
通讯作者：
Crowe, John A.
影响因子：
2.7
作者：
White, Ian R.;Carpenter, James;Schroter, Sara
通讯作者：
Schroter, Sara
DOI：
10.1177/1740774517711442
发表时间：
2017-08
期刊：
Clinical trials (London, England)
影响因子：
--
作者：
Mason AJ;Gomes M;Grieve R;Ulug P;Powell JT;Carpenter J
通讯作者：
Carpenter J