Results 31 to 40 of about 2,499,937 (274)

Intrusion of maxillary molar roots into the maxillary sinus in a sample of the Egyptian population using cone beam computed tomography

The Egyptian Journal of Radiology and Nuclear Medicine, 2021
Background The proximity of the maxillary sinus floor to the maxillary molar roots increases the probability of oroantral communication on conducting any surgical or endodontic procedure in the involved area.
Esraa Ahmed Eid, Fatma Mostafa El-Badawy, Walaa Mohamed Hamed   +2 more
doaj   +1 more source

The return of non-probability sample: the electoral polls at the time of internet and social media

Quality & Quantity: International Journal of Methodology
For the past 80 years survey researchers have used a probability sampling framework. Probability samples have a well-defined set of quality criteria that have been organized around the concept of Total Survey Error (TSE).
Giovanni Di Franco
semanticscholar   +1 more source

Social Media, Web, and Panel Surveys: Using Non- Probability Samples in Social and Policy Research

, 2020
The use of online surveys has grown rapidly in social science and policy research, surpassing more established methods. We argue that a better understanding is needed, especially of the strengths and weaknesses of non-probability online surveys that can ...
V. Lehdonvirta, Atte Oksanen, P. Räsänen, Grant Blank   +3 more
semanticscholar   +1 more source

Sample sizes for non-inferiority studies based on the difference between two proportions: a unified approach for difference, ratio and odds ratio models

Epidemiology, Biostatistics and Public Health, 2022
  Background: It is never easy to make sample size calculation for two-arm, non-inferiority studies with a primary proportion outcome not only because the different parameterisations involved in the difference, ratio, and odds ratio models lead to ...
Bruno Mario Cesana, Paolo Antonelli
doaj  

A Non-Parametric Method to Determine Basic Probability Assignment Based on Kernel Density Estimation

IEEE Access, 2018
Dempster–Shafer evidence theory has been extensively applied in a variety of fields due to its ability to solve knowledge reasoning and decision-making problem under uncertain environments.
Bowen Qin, Fuyuan Xiao
doaj   +1 more source

Implicitly Localized MCMC Sampler to Cope With Non-local/Non-linear Data Constraints in Large-Size Inverse Problems

Frontiers in Applied Mathematics and Statistics, 2019
Many practical applications involve the resolution of large-size inverse problems, without providing more than a moderate-size sample to describe the prior probability distribution.
Jean-Michel Brankart
doaj   +1 more source

Rational Use of Herbal Products in Pediatric Patients Treated With Anticancer Drugs in the European Union

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot, Mathieu Corvaisier, Laurence Spiesser‐Robelet, Mylène Duplan, Isabelle Pellier, Delphine Bourneau‐Martin, Séverine Derbré   +6 more
wiley   +1 more source

Health estimate differences between six independent web surveys: different web surveys, different results?

BMC Medical Research Methodology
Most general population web surveys are based on online panels maintained by commercial survey agencies. Many of these panels are based on non-probability samples. However, survey agencies differ in their panel selection and management strategies. Little
Rainer Schnell, Jonas Klingwort
doaj   +1 more source

Are Single‐Party Voting Advice Applications Useful? Comparing Voter Preferences in the BSW‐O‐Mat With a Probability Sample

Politics and Governance
As the voting advice application (VAA) market has grown increasingly competitive, developers have focused on innovation, including specialised VAAs that focus on specific topics.
Jan Philipp Thomeczek
doaj   +1 more source

Kernel Weighting for blending probability and non-probability survey samples

SORT, 2023
In this paper we review some methods proposed in the literature for combining a nonprobability and a probability sample with the purpose of obtaining an estimator with a smaller bias and standard error than the estimators that can be obtained using only the probability sample. We propose a new methodology based on the kernel weighting method.
Rueda, María del Mar, Cobo, Beatriz, Rueda-Sánchez, Jorge Luis, Ferri-García, Ramon, Castro-Martín, Luis   +4 more
openaire   +7 more sources