نتایج جستجو برای: additive covariate model

تعداد نتایج: 2160069  

Journal: :Communications in Statistics - Theory and Methods 2009

2007
Anders Björklund Markus Jäntti Gary Solon

Nature and Nurture in the Intergenerational Transmission of Socioeconomic Status: Evidence from Swedish Children and Their Biological and Rearing Parents This study uses an extraordinary Swedish data set to explore the sources of the intergenerational transmission of socioeconomic status. Merging data from administrative sources and censuses, we investigate the association between sons’ and dau...

ژورنال: کومش 2021

Introduction: Diabetes is a chronic disease, non-epidemic disease that costs a lot of money in each year. One of the diagnostic criteria for diabetes is Glycosylated Hemoglobin (HBA1C), which in this study the effective factors on it examined by additive regression model. Materials and Methods: In this cross-sectional study, 130 patients with diabetes type-2 were selected based on simple random...

The mode of agronomic traits inheritance was investigated in safflower (Carthamus tinctorius L.) in drought stress as a new report. Five generation including P1, P2, F1, F2 and F3 that derived from the cross of IL.111 (drought sensitive) ×Mex.22-191 (drought tolerance) were used in a randomized complete block design with two replic...

Journal: :Electronic Journal of Statistics 2021

We present a new method for robust high-dimensional linear regression when the scale parameter of additive errors is unknown. The proposed estimator based on penalized Huber M-estimator, which theoretical bounds estimation error have recently been in statistics literature. However, variance term model intricately connected to optimal used define shape loss. Our main idea use an adaptive techniq...

2009
Mingyuan Zhou Hongxia Yang

There has been significant recent interest in dictionary learning and sparse coding, with applications in denoising, interpolation, feature extraction, and classification [1]–[3]. Increasingly it has been recognized that these models may be improved by imposing additional prior information, beyond sparseness. For example, a locality constraint has been used successfully in the context of featur...

Journal: :Statistics and Computing 2016
Benjamin Hofner Thomas Kneib Torsten Hothorn

Generalized additive models (GAMs) play an important role in modeling and understanding complex relationships in modern applied statistics. They allow for flexible, data-driven estimation of covariate effects. Yet researchers often have a priori knowledge of certain effects, which might be monotonic or periodic (cyclic) or should fulfill boundary conditions. We propose a unified framework to in...

2017
G Bajaj X Wang S Agrawal M Gupta A Roy Y Feng

Nivolumab is a fully human monoclonal antibody that inhibits programmed death-1 activation. The clinical pharmacology profile of nivolumab was analyzed by a population pharmacokinetics model that assessed covariate effects on nivolumab concentrations in 1,895 patients who received 0.3-10.0 mg/kg nivolumab in 11 clinical trials. Nivolumab pharmacokinetics is linear with a time-varying clearance....

Journal: :Technometrics 2015
Yili Hong Yuanyuan Duan William Q. Meeker Deborah L. Stanley Xiaohong Gu

Degradation data provide a useful resource for obtaining reliability information for some highly reliable products and systems. In addition to product/system degradation measurements, it is common nowadays to dynamically record product/system usage as well as other life-affecting environmental variables such as load, amount of use, temperature, and humidity. We refer to these variables as dynam...

2005
Sneh Gulati Mounir Mesbah

In many survival studies one is interested not only in the duration time to some terminal event, but also in repeated measurements made on a time-dependent covariate. In these studies, subjects often drop out of the study before the occurrence of the terminal event and the problem of interest then becomes modelling the relationship between the time to dropout and the internal covariate. Dupuy a...

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