NITPicker: selecting time points for follow-up experiments.

ABSTRACT:

Background

The design of an experiment influences both what a researcher can measure, as well as how much confidence can be placed in the results. As such, it is vitally important that experimental design decisions do not systematically bias research outcomes. At the same time, making optimal design decisions can produce results leading to statistically stronger conclusions. Deciding where and when to sample are among the most critical aspects of many experimental designs; for example, we might have to choose the time points at which to measure some quantity in a time series experiment. Choosing times which are too far apart could result in missing short bursts of activity. On the other hand, there may be time points which provide very little information regarding the overall behav

SUBMITTER: Ezer D 

PROVIDER: S-EPMC6444531 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature