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Dataset Information

Use of multiple imputation to correct for bias in lung cancer incidence trends by histologic subtype.


ABSTRACT:

Background

Over the past several decades, advances in lung cancer research and practice have led to refinements of histologic diagnosis of lung cancer. The differential use and subsequent alterations of nonspecific morphology codes, however, may have caused artifactual fluctuations in the incidence rates for histologic subtypes, thus biasing temporal trends.

Methods

We developed a multiple imputation (MI) method to correct lung cancer incidence for nonspecific histology using data from the Surveillance, Epidemiology, and End Results Program during 1975 to 2010.

Results

For adenocarcinoma in men and squamous in both genders, the change to an increasing trend around 2005, after more than 10 years of decreasing incidence, is apparently an artifact of the changes in histo

SUBMITTER: Yu M 

PROVIDER: S-EPMC4119525 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature