Ignorability and bias in clinical trials.

Abstract:

:Patient non-compliance and drop-out can bias analyses of clinical trial data. I describe a parametric model for treatment cross-over and drop-out and demonstrate how the concept of ignorability, originally defined for incomplete-data problems, can elucidate sources of bias in clinical trials. I discuss some implications of the theory and present simulation examples that illustrate the potential effects of non-ignorable cross-over and drop-out on bias and power.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Heitjan DF

doi

10.1002/(sici)1097-0258(19990915/30)18:17/18<2421:

subject

Has Abstract

pub_date

1999-09-15 00:00:00

pages

2421-34

issue

17-18

eissn

0277-6715

issn

1097-0258

pii

10.1002/(SICI)1097-0258(19990915/30)18:17/18<2421:

journal_volume

18

pub_type

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