Results 71 to 80 of about 4,065,331 (316)

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Monte Carlo Comparison of Approximate Tolerance Intervals for the Poisson Distribution

پژوهش‌های ریاضی, 2016
The problem of finding  tolerance intervals receives very much attention of researchers and are widely used in various statistical fields, including biometry, economics, reliability analysis and quality control.
M Naghizadeh ghomi, A Noroozi Firoze
doaj  

Twelve-Year Analysis of NO₂ Concentration Measurements at Belisario Station (Quito, Ecuador) Using Statistical Inference Techniques

Sensors, 2020
In this paper, a robust analysis of nitrogen dioxide (NO2) concentration measurements taken at Belisario station (Quito, Ecuador) was performed. The data used for the analysis constitute a set of measurements taken from 1 January 2008 to 31 December 2019.
Wilmar Hernandez, Alfredo Mendez
doaj   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

Secure and Usable Bio-Passwords based on Confidence Interval [PDF]

Journal of Internet Services and Information Security, 2017
The most popular user-authentication method is the password. Many authentication systems try to enhance their security by enforcing a strong password policy, and by using the password as the first factor, something you know, with the second factor being ...
Aeyoung Kim, Geunshik Han, Seung-Hyun Seo   +2 more
doaj  

Credible Confidence: A Pragmatic View on the Frequentist vs Bayesian Debate

Collabra: Psychology, 2018
The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst there are fundamental theoretical and philosophical differences between both schools of thought, we argue that in two most common situations the practical ...
Casper J. Albers, Henk A. L. Kiers, Don van Ravenzwaaij   +2 more
doaj   +1 more source

Estimating confidence intervals for transport Mode share. [PDF]

, 2005
One of the common statistics used to monitor transport activity is the total travel by a particular method or mode and, for each mode, this share is routinely expressed as a percentage of total personal travel.
Clark, S.D., McKimm, J.
core  

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source

Confidence interval based parameter estimation--a new SOCR applet and activity. [PDF]

PLoS ONE, 2011
Many scientific investigations depend on obtaining data-driven, accurate, robust and computationally-tractable parameter estimates. In the face of unavoidable intrinsic variability, there are different algorithmic approaches, prior assumptions and ...
Nicolas Christou, Ivo D Dinov
doaj   +1 more source

Weather on Other Worlds. II. Survey Results: Spots Are Ubiquitous on L and T Dwarfs

, 2014
We present results from the "Weather on Other Worlds" Spitzer Exploration Science program to investigate photometric variability in L and T dwarfs, usually attributed to patchy clouds.
Apai, Dániel, Artigau, Étienne, Burgasser, Adam, Flateau, Davin, Goldman, Bertrand, Heinze, Aren, Marley, Mark S., Metchev, Stanimir, Plavchan, Peter, Radigan, Jacqueline   +9 more
core   +1 more source