Results 111 to 120 of about 231,256 (313)
A geometric characterization of c-optimal designs for heteroscedastic regression [PDF]
We consider the common nonlinear regression model where the variance as well as the mean is a parametric function of the explanatory variables. The c-optimal design problem is investigated in the case when the parameters of both the mean and the variance
Dette, Holger, Holland-Letz, Tim
core
Optimal cross-over designs for full interaction models
, 2013 We consider repeated measurement designs when a residual or carry-over effect may be present in at most one later period. Since assuming an additive model may be unrealistic for some applications and leads to biased estimation of treatment effects, we ...
P. Druilhet +4 more
core +1 more source
On Highly D-Efficient Designs with Nonnegatively Correlated Observations
Revstat Statistical Journal, 2017 In the most difficult case where the number of observations n ≡ 3 (mod 4), high D-efficiency of certain chemical balance weighing designs under completely symmetric covariance matrix of errors is shown. It is also proved that D-optimal design may depend
Krystyna Katulska , Lukasz Smaga
doaj +1 more source
Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Exploiting correlation in the construction of D-optimal response surface designs. [PDF]
Cost considerations and difficulties in performing completely randomized experiments often dictate the necessity to run response surface experiments in a bi-randomization format.
Goos, Peter, Vandebroek, Martina
core
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Optimal designs for estimating the slope of a regression [PDF]
In the common linear regression model we consider the problem of designing experiments for estimating the slope of the expected response in a regression.
Dette, Holger, Melas, Viatcheslav B.
core
Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Practical considerations for optimal designs in clinical dose finding studies [PDF]
Determining an adequate dose level for a drug and, more broadly, characterizing its dose response relationship, are key objectives in the clinical development of any medicinal drug. If the dose is set too high, safety and tolerability problems are likely
Dette, Holger +2 more
core
Robust D-Optimal Mixture Designs Under Manufacturing Tolerances via Multi-Objective NSGA-II
MathematicsThis study proposes a multi-objective optimization framework for generating statistically efficient and operationally robust designs in constrained mixture experiments with irregular experimental regions. In industrial settings, manufacturing variability
Wanida Limmun +2 more
doaj +1 more source