We will consider questions of (1) how to perform valid statistical inference using differentially private data or summary statistics, and (2) how to design optimal formal privacy mechanisms and inference procedures.
To perform valid test comparisons between the SFFTv1, SFFTv2, SFFTv3, and the DFTCOMM algorithms, those should be tested under the same conditions and constrains.
In order to perform valid testing of these applications, based on simulation, the ability to accurately simulate each component of the system is required [3].
In radiological protection, it is important to be able to perform valid calculations of the absorbed dose in organs and tissues of the body for persons exposed to external radiation sources and radiation from internally distributed radionuclides.
However, the total number of patients is certainly to low to perform valid subgroup analysis.
There was sufficient common material to enable us to perform valid comparisons of the two responding groups.
Unfortunately, these subgroups were too small to perform valid multivariate analysis.
Insufficient numbers of rectal adenocarcinomas in each differentiation subtype category were present to perform valid statistical analysis to determine whether ADCs differed significantly between differentiation subtypes.
