O'Reilly logo

Preventing and Treating Missing Data in Longitudinal Clinical Trials by Craig Mallinckrodt

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

3 Estimands

3.1 Introduction

An important evolution in the discussions on missing data has been the focus on clarity of objectives. In fact, the first recommendation from the recent National Research Council (NRC, 2010) recommendations on the prevention and treatment of missing data was that the objectives be clearly specified.

The need for clarity in objectives is driven by ambiguities arising from the missing data. As noted in Chapter 2, data may be intermittently missing or missing due to dropout. Patients may or may not be given rescue medications. Assessments after withdrawal from the initially randomized study medication or after the addition of rescue medications may or may not be taken. Whether or not – and if so, how – these follow-up data ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required