Zobrazeno 1 - 10
of 4 380
pro vyhledávání: '"Simulation Study"'
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-6 (2024)
Abstract Background A time-dependent analysis, usually by means of Poisson and Cox regression models, can be applied to prevent immortal time bias. However, the use of the Poisson model requires the assumption that the event rate is constant over tim
Externí odkaz:
https://doaj.org/article/8a98c59dd2214466bc8c5a915e8c56ee
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 174-183 (2024)
Sampling is crucial in basic statistics due to the large size of certain populations. Sampling theory focuses on selecting samples based on appropriate population characteristics and approaches to estimating population characteristics from the sample
Externí odkaz:
https://doaj.org/article/50920fe7149444149d64f5038028dc61
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Time-based surveys often experience missing data due to several reasons, like non-response or data collection limitations. Imputation methods play an essential role in incorporating these missing values to secure the accuracy and reliability
Externí odkaz:
https://doaj.org/article/3e4cc3241f1146298db2cee74decb01a
Autor:
Elham Yousefi, Mohamed Gewily, Franz König, Günter Höglinger, Franziska Hopfner, Mats O. Karlsson, Robin Ristl, Sonja Zehetmayer, Martin Posch
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Measuring disease progression in clinical trials for testing novel treatments for multifaceted diseases as progressive supranuclear palsy (PSP), remains challenging. In this study we assess a range of statistical approaches to compare outcom
Externí odkaz:
https://doaj.org/article/62ccf522bad84fceaf4bb4a6b93cb875
Autor:
Kenneth Menglin Lee, Yin Bun Cheung
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Background Stepped-wedge cluster trials (SW-CTs) describe a cluster trial design where treatment rollout is staggered over the course of the trial. Clusters are commonly randomized to receive treatment beginning at different time points in t
Externí odkaz:
https://doaj.org/article/4804607dbde846088f8028afa6acdaf0
Autor:
Getachew Tekle, Rasool Roozegar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Methodological developments in different sectors like health, biomedical and biological areas are the recent burning issue in the statistical literature. The approach of implementing declining hazard function which is obtained by compounding
Externí odkaz:
https://doaj.org/article/33c76fae290a46058454783be8b4404b
Autor:
Manahil SidAhmed Mustafa, Sohaib Ahmad, Hassan M. Aljohani, Fatimah M. Alghamdi, Ramy Aldallal, Mohammed Elgarhy, Sanaa Mohammed Almarzouki, Suleman Nasiru
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The primary purpose of this article is to examine the issue of estimating the finite population distribution function from auxiliary information, such as population mean and rank of the auxiliary variables, that are already known. In order t
Externí odkaz:
https://doaj.org/article/963a961fdb654b6f9035077c8e2755ff
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 34, Iss 3, Pp 408-418 (2024)
Purpose: The most common detector material in the PC CT system, cannot achieve the best performance at a relatively higher photon flux rate. In the reconstruction view, the most commonly used filtered back projection, is not able to provide sufficien
Externí odkaz:
https://doaj.org/article/354f2c61071245dd820b12f11480ffca
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Ranked set sampling (RSS) is known to increase the efficiency of the estimators while comparing it with simple random sampling. The problem of missingness creates a gap in the information that needs to be addressed before proceeding for esti
Externí odkaz:
https://doaj.org/article/d77631c1e5e1481384f923edc1e3d556
Autor:
Ibrahim Alkhairy
Publikováno v:
Alexandria Engineering Journal, Vol 100, Iss , Pp 1-14 (2024)
Defining a probability model suitable for analyzing intricate and skewed real datasets holds significant importance in statistics. Here In this study, a novel class of models using the maximum of independent identical generalized Rayleigh random vari
Externí odkaz:
https://doaj.org/article/ed677e1ec2f64310b7746445d63ae2d6