A population-based approach to analyzing pulses in time series of hormone data.

ABSTRACT: Studies of reproductive physiology involve rapid sampling protocols that result in time series of hormone concentrations. The signature pattern in these times series is pulses of hormone release. Various statistical models for quantifying the pulsatile release features exist. Currently these models are fitted separately to each individual and the resulting estimates averaged to arrive at post hoc population-level estimates. When the signal-to-noise ratio is small or the time of observation is short (e.g., 6 h), this two-stage estimation approach can fail. This work extends the single-subject modelling framework to a population framework similar to what exists for complex pharamacokinetics data. The goal is to leverage information across subjects to more clearly identify pulse locations and

SUBMITTER: Horton KW 

PROVIDER: S-EPMC5616190 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature