Results 61 to 70 of about 10,145,001 (387)
Perturbed Datasets Methods for Hypothesis Testing and Structure of Corresponding Confidence Sets
, 2014 Hypothesis testing methods that do not rely on exact distribution assumptions have been emerging lately. The method of sign-perturbed sums (SPS) is capable of characterizing confidence regions with exact confidence levels for linear regression and linear
Kolumbán, Sándor +2 more
core +2 more sources
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract This study aimed to evaluate the clinical beam commissioning results and lateral penumbra characteristics of our new pencil beam scanning (PBS) proton therapy using a multi‐leaf collimator (MLC) calculated by use of a commercial Monte Carlo dose engine.
Yuki Tominaga +5 more
wiley +1 more source
The Power of Confidence Intervals [PDF]
, 2000 We consider the power to reject false values of the parameter in Frequentist methods for the calculation of confidence intervals. We connect the power with the physical significance (reliability) of confidence intervals for a parameter bounded to be non ...
Giunti, C., Laveder, M.
core +4 more sources
Molecular Oncology, EarlyView.Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink +6 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose The aim of this work was to evaluate the SunCHECK PerFRACTION, the software for in vivo monitoring using EPID images. Materials/Methods First, the PerFRACTION ability to detect errors was investigated simulating two situations: (1) variation of LINAC output and (2) variation of the phantom thickness.
Samuel Ramalho Avelino +3 more
wiley +1 more source
Confidence intervals for means of positively skewed distributions [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2003 The objective of this study is to compare interval estimation methods for population means of positively skewed distributions. The estimation methods are the interval estimation method with student-t statistics, the interval estimation method with ...
Weerawan Sakdajivacharoen +1 more
doaj
Learning Confidence for Transformer-based Neural Machine Translation [PDF]
arXiv, 2022 Confidence estimation aims to quantify the confidence of the model prediction, providing an expectation of success. A well-calibrated confidence estimate enables accurate failure prediction and proper risk measurement when given noisy samples and out-of-distribution data in real-world settings.
arxiv
Robust nonparametric inference for the median
, 2005 We consider the problem of constructing robust nonparametric confidence intervals and tests of hypothesis for the median when the data distribution is unknown and the data may contain a small fraction of contamination.
Yohai, Victor J., Zamar, Ruben H.
core +1 more source
Estimation of Gini Index within Pre-Specied Error Bound [PDF]
, 2015 Gini index is a widely used measure of economic inequality. This article develops a general theory for constructing a confidence interval for Gini index with a specified confidence coefficient and a specified width.
Chattopadhyay, Bhargab +1 more
core +3 more sources
Molecular Oncology, EarlyView.In this explorative biomarker analysis, we assessed serial sampling of circulating tumor cells (CTCs) with CellSearch in two randomized trials testing immune checkpoint inhibitors (ICIs) in metastatic breast cancer. Our data demonstrate a prognostic potential of CTCs, most apparent 4 weeks into ICI therapy.
Nikolai Kragøe Andresen +13 more
wiley +1 more source