A mean score method for sensitivity analysis to departures from the missing at random assumption in randomised trials.

ABSTRACT: Most analyses of randomised trials with incomplete outcomes make untestable assumptions and should therefore be subjected to sensitivity analyses. However, methods for sensitivity analyses are not widely used. We propose a mean score approach for exploring global sensitivity to departures from missing at random or other assumptions about incomplete outcome data in a randomised trial. We assume a single outcome analysed under a generalised linear model. One or more sensitivity parameters, specified by the user, measure the degree of departure from missing at random in a pattern mixture model. Advantages of our method are that its sensitivity parameters are relatively easy to interpret and so can be elicited from subject matter experts; it is fast and non-stochastic; and its point estimate,

SUBMITTER: White IR 

PROVIDER: S-EPMC6166859 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature