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For studies with time series data, we used only the data from the final time period, and for studies that included data for more than one reproductive stage (e.g., flowers, fruits and seeds), we extracted data only from the most advanced stage (on the assumption that it was a better proxy for plant fitness).
The minimal definition is proposed for use in studies with time or space constraints [ 5].
Items 23 through 25 apply only to the four remaining studies with time horizons longer than one year.
Provide further motivation for questioning the prevalent standard statistical approach used to design and analyze studies with time to event outcomes.
Earlier studies with time domain OCT showed good quantitative agreement between the extent of local field loss and the thickness of the outer nuclear layer (ONL) [ 1– 4].
Second, we coupled TF mutant data from ten microarray studies with time course expression data from ten cell cycle experiments with the help of an enhanced Bayesian co-clustering algorithm.
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These can be daunting in large studies with time-varying exposures.
We have presented a method to analyze genetic association studies with time-to-event outcomes.
Case-cohort studies with time-to-event outcomes require non-standard statistical analyses but those with binary outcomes do not [ 10].
The cure rate model is a useful model for designing studies with time-to-event endpoints, such as RFS and OS.
In the 62 NNT-reporting articles, corresponding confidence intervals were presented in 21 studies (6 of the 34 studies with time-to-event outcomes and 15 of the 28 studies with binary outcomes).
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