Threats to validity of nonrandomized studies of postdiagnosis exposures on cancer recurrence and survival

124Citations
Citations of this article
92Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Studies of the effects of exposures after cancer diagnosis on cancer recurrence and survival can provide important information to the growing group of cancer survivors. Observational studies that address this issue generally fall into one of two categories: jnci.oxfordjournals.org JNCI | Reviews 1457 1) those using health plan automated data that contain "continuous" information on exposures, such as studies that use pharmacy records; and 2) survey or interview studies that collect information directly from patients once or periodically postdiagnosis. Reverse causation, confounding, selection bias, and information bias are common in observational studies of cancer outcomes in relation to exposures after cancer diagnosis. We describe these biases, focusing on sources of bias specific to these types of studies, and we discuss approaches for reducing them. Attention to known challenges in epidemiologic research is critical for the validity of studies of postdiagnosis exposures and cancer outcomes. © The Author 2013. Published by Oxford University Press.

Cite

CITATION STYLE

APA

Chubak, J., Boudreau, D. M., Wirtz, H. S., McKnight, B., & Weiss, N. S. (2013, October 2). Threats to validity of nonrandomized studies of postdiagnosis exposures on cancer recurrence and survival. Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/djt211

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free