Results 261 to 270 of about 47,969 (301)

Volumetric change after maxillary sinus floor elevation using absorbable collagen sponge: a retrospective cohort study. [PDF]

J Korean Assoc Oral Maxillofac Surg
Han YS, Seo BM.
europepmc   +1 more source

Associations between urinary glycosaminoglycans and onset of acute respiratory distress syndrome in sepsis patients: a prospective exploratory study. [PDF]

Sci Rep
Shen Z, Li Z, Zhang H, Wei X, Wei S, Zhao F, Yang C, Cong Z, Yin Z, Ding C, Tie C, Zhu X.   +11 more
europepmc   +1 more source

SARS-CoV-2 Infection Is Associated with an Accelerated eGFR Decline in Kidney Transplant Recipients up to Four Years Post Infection. [PDF]

Diagnostics (Basel)
Qiu S, Hadidchi R, Vichare A, Lu JY, Hou W, Henry S, Akalin E, Duong TQ.   +7 more
europepmc   +1 more source

Providing 2 Types of mHealth Interventions to Support Self-Management Among People Living With HIV: Randomized Clinical Trial.

JMIR Mhealth Uhealth
Kim GS, Kim L, Baek S, Kwon S, Kim JM, Choi JY, Choi JP.   +6 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

A Comparison of Bias-Corrected Covariance Estimators for Generalized Estimating Equations

Journal of Biopharmaceutical Statistics, 2013
Although asymptotically the sandwich covariance estimator is consistent and robust with respect to the selection of the working correlation matrix, when the sample size is small, its bias may not be negligible. This article compares the small sample corrections for the sandwich covariance estimator as well as the inferential procedures proposed by ...
Cun-Hui Zhang, Donghui Zhang, Chunpeng Fan   +2 more
openaire   +3 more sources

Generalized Estimating Equations Logistic Regression

2015
Many fields of study use longitudinal datasets, which usually consist of repeated measurements of a response variable, often accompanied by a set of covariates for each of the subjects/units. However, longitudinal datasets are problematic because they inherently show correlation due to a subject’s repeated set of measurements.
Kent A. Lorenz, Jeffrey R. Wilson
openaire   +2 more sources

Extended Generalized Estimating Equations for Clustered Data

Journal of the American Statistical Association, 1998
Abstract Typically, analysis of data consisting of multiple observations on a cluster is complicated by within-cluster correlation. Estimating equations for generalized linear modeling of clustered data have recently received much attention. This article proposes an extension to the generalized estimating equation method proposed by Liang and Zeger ...
Daniel B. Hall, Thomas A. Severini
openaire   +2 more sources

Assessing the validity of weighted generalized estimating equations

Biometrika, 2011
The inverse probability weighted generalized estimating equations approach (Robins et al. 1994; Robins et al. 1995), effectively removes bias and provides valid statistical inference for regression parameter estimation in marginal models when longitudinal data contain missing values.
A. Qu, G. Y. Yi, P. X.-K. Song, P. Wang
openaire   +3 more sources

Akaike's Information Criterion in Generalized Estimating Equations

Biometrics, 2001
Summary.Correlated response data are common in biomedical studies. Regression analysis based on the generalized estimating equations (GEE) is an increasingly important method for such data. However, there seem to be few model‐selection criteria available in GEE.
openaire   +3 more sources

Miscellanea. Multiple roots in general estimating equations

Biometrika, 1998
SUMMARY This paper is concerned with simple methods for picking the correct root of a general estimating equation in the case of multiple roots. The use of methods based on (i) asymptotics, (ii) analogues of empirical information and (iii) goodness-of-fit type criteria are advocated, and examples are provided to illustrate their use.
C. C. Heyde, Richard M. Morton
openaire   +2 more sources