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In the exploratory setting, further study would be required to clarify these hypotheses and examine causal mechanisms.
In the exploratory setting, it may be necessary to reject more compound hypotheses in favor of simpler ones to maintain plausibility.
It seems clear that the role of miRNAs as colorectal cancer biomarkers is still undetermined, emphasizing the need for further investigations in the exploratory setting and to validate potential biomarkers.
The proposed approach, in the exploratory setting, is illustrated using data on socioeconomic position and body mass index (BMI) from a cohort of 2,192 men and women, with binary measurements of the exposure, socioeconomic position, at ages 4, 26, and 43 years, and a continuous measurement of the outcome, BMI, at age 53 years.
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In general, one-fourth of the patients were randomly selected from the exploratory set.
The prediction model was developed in the exploratory set and the performance of the developed model was evaluated in the validation set.
The exploratory set-up and the outcomes are delineated in area V.
While there are many potential confounders of the life course association between exposure and outcome, which in this example are unmeasured (as they were in the original study), the focus in this exploratory setting is to identify likely life course associations between exposure and outcome, whether or not they are confounded.
In this exploratory setting, the choice of hypothesis is somewhat subjective and we require a method for choosing how many variables to include in our selected hypothesis.
Differences were only claimed if hypotheses generated in the exploratory data set were confirmed in the confirmatory data set.
In the present exploratory setting, we feel that Bonferroni correction is too stringent and decreases power.
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