Results 51 to 60 of about 97,649 (287)
PENERAPAN REGRESI GENERALIZED POISSON II DALAM HUBUNGAN FAKTOR-FAKTOR ORANG TUA YANG MEMPENGARUHI TERHADAP BANYAK ANAK [PDF]
, 2016 Regresi Generalized Poisson II merupakan suatu model regresi yang dapat digunakan untuk memodelkan bentuk hubungan antara variabel respon yang berbentuk data count dengan variabel prediktor. Regresi Generalized Poisson II merupakan perluasan dari regresi
Utomo, Bintang Januari
core
Arthritis Care &Research, Accepted Article.Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical frailty index (FI).
Grace Burns +2 more
wiley +1 more source
BMC Research Notes, 2021 Objective CD4 Lymphocyte Count (CD4) is a major predictor of HIV progression to AIDS. Exploring the factors affecting CD4 levels may assist healthcare staff and patients in management and monitoring of health cares.
Maryam Farhadian +3 more
doaj +1 more source
Penalized additive regression for space-time data: a Bayesian perspective [PDF]
, 2003 We propose extensions of penalized spline generalized additive models for analysing space-time regression data and study them from a Bayesian perspective.
Fahrmeir, Ludwig +2 more
core +3 more sources
High Healthcare Utilization Preceding Diagnosis with Juvenile Idiopathic Arthritis
Arthritis Care &Research, Accepted Article.Objective Though early diagnosis improves long‐term outcomes, Juvenile Idiopathic Arthritis (JIA) patients often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize healthcare utilization in the year preceding diagnosis.
Anna Costello +5 more
wiley +1 more source
Mathematical and Computational Applications, 2023 Regression models in which the response variable has a compound distribution have applications in actuarial science. For example, the aggregate claim amount in a vehicle insurance portfolio can be modeled using a compound Poisson distribution.
Jahnavi Merupula +2 more
doaj +1 more source
Macro vs. Micro Methods in Non-Life Claims Reserving (an Econometric Perspective) [PDF]
, 2016 Traditionally, actuaries have used run-off triangles to estimate reserve ("macro" models, on agregated data). But it is possible to model payments related to individual claims.
Charpentier, Arthur, Pigeon, Mathieu
core +4 more sources
Advanced Engineering Materials, EarlyView.It is shown that laser ablation pretreatment under oxygen‐free conditions enables copper–aluminium bonding at significantly lower deformation degrees and improved properties compared to mechanical brushing. Laser ablation further increases interface contact area and induces favourable residual stress states and microstructural compatibility ...
Khemais Barienti +11 more
wiley +1 more source
Count data models with variance of unknown form: an application to a hedonic model of worker absenteeism [PDF]
, 1997 We examine an econometric model of counts of worker absences due to illness in a sluggishly adjusting hedonic labor market. We compare three estimators that parameterize the conditional variance?least squares, Poisson, and negative binomial pseudo ...
Delgado, Miguel A., Kniefner, Thomas J.
core +3 more sources
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source