Enriched Regression
1
1. Introduction
In most research settings in medicine, we aim at knowing the effect of a certain exposure
to the risk of some specific disease among a well-defined targeted population. To achieve
this goal, well-designed trials are usually used. However, the sample sizes for such studies
are usually limited due to the high cost of recruitment and thus the sample size usually
just have power to detect the effect for the primary exposure of interest. In the mean time,
the number of available observational studies or trial studies from other population are
accumulated quickly nowadays. Can we use information from these data to improve our
inference on the population where small data is drawn from? Here we refer the randomized
clinical trial data which have a clearly defined target population by the design and sampling
scheme as “small data” and refer other external data as “big data”. Our goal is to efficiently
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- Fall '17
