Importantly, sufficient overlap existed between heart rates observed pre-therapy and on-treatment, ensuring that pre-therapy data were adequate to derive individualized and population-based correction factors.
However, we observed that from K = 6 upwards, additional clusters did not individualize additional populations but were rather represented in moderate proportions in many populations, therefore probably not revealing a genuine population genetic structure.
In applying relapse status to each tumor (dark points on Figure 3A), it appears that the two tumoral populations (i.e. with and without relapse) show a large median overlap but that tumors lying in the lower left quadrant have a lower risk of relapse than tumors in the upper right quadrant thus individualizing three populations of tumors.
In conclusion, the immunophenotypic profiles determined by flow Cytometry using developmental antigens yield a better understanding of the complex biologic features of common ALL and improve the ability to further classify the disease and detect minimal residual disease, which together better characterize individualized leukemia cell populations.
3/26/2015 Individualized & Population Health: Two Sides of the Same Coin Scott Zeger, professor of biostatistics from Johns Hopkins University, will address some of the major quantitative approaches to using population data to improve health care decisions about the individual.
The performance of the NPAG population and individualized Bayesian estimates are shown in the plots of the observed versus estimated serum amikacin concentrations.
Thus, efforts to personalize therapy are hindered by our reliance on trials that may be neither generalizable to the larger population nor individualized to specific patients.
This study is the first to use the SEIQoL-DW instrument to assess individualized QL in a population of patients with advanced cancer participating in a Phase I clinical trial.
We then operationalized the ADA and Ismail-Beigi strategies for individualization to estimate 1) the distribution of the U.S. adult diabetes population across each individualized A1C target and 2) the size of the population who have measured A1C levels that are at or below their recommended individualized A1C target.
The ideal target MAP may have to be individualized for specific patient populations.
The DCIS Score independently predicts and quantifies individualized recurrence risk in a population of patients with pure DCIS treated by BCS alone.
