Results 141 to 150 of about 116,470 (286)
ABSTRACT Objectives This study aims to assess the incremental cost per quality‐adjusted‐life‐year (QALY) gained in treating patients with early oral squamous cell carcinoma (OSCC) using sentinel lymph node biopsy (SLNB) guided neck dissection. Methods A Markov model was created to simulate disease‐free survival, recurrence, and overall survival in a ...
Shivakumar Thiagarajan +5 more
wiley +1 more source
On the Non-Vanishing of a Certain Class of Dirichlet Series [PDF]
Sridhar Narayanan
openalex +1 more source
Hausdorff–Young-type inequalities for vector-valued Dirichlet series [PDF]
Daniel Carando +2 more
openalex +1 more source
Dimer models and conformal structures
Abstract Dimer models have been the focus of intense research efforts over the last years. Our paper grew out of an effort to develop new methods to study minimizers or the asymptotic height functions of general dimer models and the geometry of their frozen boundaries.
Kari Astala +3 more
wiley +1 more source
Incorporating Scale Uncertainty into Differential Expression Analyses Using ALDEx2
Abstract Differential abundance or expression analyses are routinely performed on metagenomic, metatranscriptomic, and amplicon sequencing data. In such datasets, analysts usually have no information regarding the true scale (i.e., size) of the microbial community or sample under study, with inter‐sample differences in sequencing depth instead being ...
Scott J. Dos Santos, Gregory B. Gloor
wiley +1 more source
A Fourier-Jacobi Dirichlet series for cusp forms on orthogonal groups. [PDF]
Psyroukis R.
europepmc +1 more source
Volterra operators and Hankel forms on Bergman spaces of Dirichlet series [PDF]
Hélène Bommier-Hato
openalex +1 more source
Clustering of Longitudinal Data: A Tutorial on a Variety of Approaches
ABSTRACT During the past two decades, methods for identifying groups with different trends in longitudinal data involving a single numeric outcome have become of increasing interest across many areas of research. To support researchers, we summarize the guidance from literature regarding the clustering of such data.
N. G. P. Den Teuling +2 more
wiley +1 more source
Stabilizing Inference in Dirichlet Regression via Ridge‐Penalized Model
ABSTRACT We propose a penalized Dirichlet regression framework for modeling compositional data, using a softmax link to ensure that the mean vector lies on the simplex and to avoid log‐ratio transformations or zero replacement. The model is formulated in a GLM‐like setting and incorporates an ℓ2$$ {\mathrm{\ell}}_2 $$ (ridge) penalty on the regression ...
Andrea Nigri
wiley +1 more source

