Results 101 to 110 of about 3,733,122 (330)

Modeling of Maternal Mortality and Infant Mortality Cases in East Kalimantan using Poisson Regression Approach Based on Local Linear Estimator

open access: yesIOP Conference Series: Earth and Environment, 2019
The Poisson regression is the popular regression model on the discrete response variables. The regression function in the Poisson regres-sion model can be estimate by using both the parametric and the nonparametric approaches.
Darnah, M. I. Utoyo, N. Chamidah
semanticscholar   +1 more source

UTact: Underwater Vision‐Based Tactile Sensor with Geometry Reconstruction and Contact Force Estimation

open access: yesAdvanced Robotics Research, EarlyView.
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang   +5 more
wiley   +1 more source

Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio

open access: yesBMC Medical Research Methodology, 2003
Background Cross-sectional studies with binary outcomes analyzed by logistic regression are frequent in the epidemiological literature. However, the odds ratio can importantly overestimate the prevalence ratio, the measure of choice in these studies ...
Hirakata Vânia N, Barros Aluísio JD
doaj   +1 more source

Grip and Grasp: Lizard Claw Inspired Robotic Manipulators

open access: yesAdvanced Robotics Research, EarlyView.
Our study identifies the most effective lizard claw shape for use as an end effector in a bioinspired robotic manipulator. By examining key geometric features and combining them into comparative indices, the Crotaphytus collaris claw is found to be the best fit.
Hyeon Lee   +4 more
wiley   +1 more source

Bufalin Inhibits the PI3K/AKT Pathway by Targeting GTF3C4 to Impede Breast Cancer Progression

open access: yesAdvanced Science, EarlyView.
Mechanisms of Bufalin‐Mediated Intervention in Breast Cancer. ABSTRACT Breast cancer incidence is rising globally, presenting challenges such as treatment side effects and drug resistance. Bufalin is a bufadienolides compound with potential anti‐cancer effects. This study shows that bufalin inhibits malignant proliferation of MDA‐MB‐231 and MCF‐7 cells
Siyu Guo   +15 more
wiley   +1 more source

ZERO INFLATED POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF MEASLES CASE IN JAVA

open access: yesBarekeng
Measles is an infectious disease that often occurs in children and is caused by the measles virus (morbillivirus) which can cause death. Thus, it is important to identify the factors that cause measles.
Candra R. W. S Weni Utomo   +2 more
doaj   +1 more source

Cellular Snowballing: Cell Adhesion and Migration Drive the Self‐Assembly of Cell‐Microgel Biohybrid Spheroids

open access: yesAdvanced Science, EarlyView.
A new class of biohybrid spheroids is engineered through the self‐assembly of adherent cells and extracellular matrix‐mimetic hydrogel microparticles (microgels). By mimicking a snowballing effect, this approach enables scalable formation of porous, millimeter‐scale spheroids with enhanced cell viability and molecular diffusion.
Zaman Ataie   +7 more
wiley   +1 more source

PENERAPAN REGRESI ZERO-INFLATED NEGATIVE BINOMIAL (ZINB) UNTUK PENDUGAAN KEMATIAN ANAK BALITA

open access: yesE-Jurnal Matematika, 2013
One method of regression analysis used to analyze the count data is Poisson regression. Poisson regression requires that the mean value equal to the value of variance (equidispersion).
NI MADE SEKARMINI   +2 more
doaj   +1 more source

Poisson regression [PDF]

open access: yesAmerican Journal of Orthodontics and Dentofacial Orthopedics, 2017
Despina, Koletsi, Nikolaos, Pandis
openaire   +2 more sources

Efficient Bayesian inference for COM-Poisson regression models

open access: yesStatistics and computing, 2018
COM-Poisson regression is an increasingly popular model for count data. Its main advantage is that it permits to model separately the mean and the variance of the counts, thus allowing the same covariate to affect in different ways the average level and ...
Charalampos Chanialidis   +3 more
semanticscholar   +1 more source

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