Results 111 to 120 of about 22,159 (266)

Nonparametric Regression for Cost‐Effectiveness Analyses With Observational Data—A Tutorial

Health Economics, EarlyView.
ABSTRACT Healthcare decision‐making often requires selecting among multiple treatment options under budget constraints, particularly when one option is more effective but also more costly. Cost‐effectiveness analysis (CEA) provides a framework for evaluating whether the health benefits of a treatment justify its additional costs.
Jonas Esser, Mateus Maia, Judith E. Bosmans, Johanna Maria van Dongen   +3 more
wiley   +1 more source

Bootstrapping Long-Run Covariance of Stationary Functional Time Series

Forecasting
A key summary statistic in a stationary functional time series is the long-run covariance function that measures serial dependence. It can be consistently estimated via a kernel sandwich estimator, which is the core of dynamic functional principal ...
Han Lin Shang
doaj   +1 more source

Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Arterial Enhancement Fraction Derived From Dual‐Layer Spectral CT

Head &Neck, EarlyView.
ABSTRACT Objective To evaluate the diagnostic value of arterial enhancement fraction (AEF) derived from dual‐layer detector spectral CT (DLCT) in preoperative assessment of cervical lymph node metastasis in patients with papillary thyroid carcinoma (PTC), and to compare its performance with other spectral CT quantitative parameters and conventional CT ...
Lili Ye, Xiangfa He, Ming Liang, Yuxin Wei, Hao Zhang, Xiaomin Liu, Xiaolin Zheng   +6 more
wiley   +1 more source

From Physiology to Bioheat Simulation: A Data‐Driven Framework for Core Temperature Initialization

Heat Transfer, EarlyView.
ABSTRACT Accurate initialization of core body temperature is a critical yet often overlooked component of bioheat transfer models, particularly when such models are applied to heterogeneous populations and real‐world environmental conditions. Conventional bioheat simulations typically rely on fixed or idealized core body temperature values derived from
David S. Rodríguez, Ana S. Acosta, Carol D. Vergara, Daniela Martínez, Sebastián Bermúdez, Cristian F. Rodríguez, Juan C. Cruz   +6 more
wiley   +1 more source

Comparison of Relapse Risk Prediction Models During Active Surveillance in Stage I Seminoma: A Retrospective Multicenter Cohort Study

International Journal of Cancer, EarlyView.
ABSTRACT To improve the prediction of relapse for clinical stage I seminoma, we aimed to validate the Boormans model (incorporating tumor size, rete testis invasion, and lymphovascular invasion) against the conventional classification (tumor size > 4 cm/rete testis invasion).
Andreas Banner, Eveline Daetwyler, Stefanie Fischer, Stephanie Schöpfer‐Schwab, Karl Pemberger, Michael Scholz, Kathrin Olesch, David Oswald, Angelina Strauch, Tim Nestler, Lukas Koren‐Wagner, Robin Zeder, Clemens Mikulits, Sebastian Lenart, Christoph Seidel, Angelika Terbuch   +15 more
wiley   +1 more source

Endogeneity in Engel Curves and the Nonparametric Instrumental Variables Method

Ekoist Journal of Econometrics and Statistics
Instrumental variable methods are widely used in identifying models with endogeneity problems and obtaining consistent estimation results. Nonparametric approaches allow for flexible estimations without functional form constraints.
Sevcan Çağlayan, Ebru Çağlayan Akay
doaj   +1 more source

HPV Genotype Distribution in Cervical Cancer and High‐Grade Lesions in Norway, and Early Vaccine Impact

International Journal of Cancer, EarlyView.
ABSTRACT All cases of invasive cervical cancer (ICC) and subsets of high‐grade cervical intraepithelial neoplasia grade 2 or 3 (CIN2/3) and adenocarcinoma in situ (AIS) in Norway are tested for 37 human papillomavirus (HPV) genotypes, within a mandatory national surveillance system.
Terese Bekkevold, Ida Laake, Berit Feiring, Kristiane Søreng, Gro Kummeneje Presthus, Glenny Cecilie Alfsen, Irene Kraus Christiansen, Mona Hansen, Hanne Kristiansen, Eirik Olsen, Torstein Gjølgali Frengen, Emily A. Burger, Christine Genieve Monceyron Jonassen, Lill Trogstad   +13 more
wiley   +1 more source

Nonparametric Bootstrap of Sample Means of Positive-Definite Matrices with an Application to Diffusion-Tensor-Imaging Data Analysis. [PDF]

Commun Stat Simul Comput, 2017
Ellingson L, Groisser D, Osborne D, Patrangenaru V, Schwartzman A.   +4 more
europepmc   +1 more source

Bootstrapped Tests for Epistemic Fuzzy Data

International Journal of Applied Mathematics and Computer Science
Epistemic bootstrap is a resampling algorithm that generates bootstrap real-valued samples based on some epistemic fuzzy data input. We apply this method as a universal basis for various statistical tests which can be then directly used for fuzzy random ...
Grzegorzewski Przemysław, Romaniuk Maciej   +1 more
doaj   +1 more source

Estimation of Subtype‐Specific Tumour Growth Rate Distributions and Interval Cancer Proportions in Breast Cancer Using Biology‐Inspired Natural History Models

International Journal of Cancer, EarlyView.
ABSTRACT Breast cancer progression varies across molecular subtypes, influencing detection rates and prognosis. Differences in the proportion of interval cancers (PIC)—cancers detected symptomatically between scheduled screening rounds—have been observed across subtypes, likely reflecting heterogeneity in tumour growth dynamics. We applied a continuous‐
Letizia Orsini, Yuqi Zhang, Kamila Czene, Keith Humphreys   +3 more
wiley   +1 more source