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Related Concept Videos

Structural Joints: Fibrous Joints01:03

Structural Joints: Fibrous Joints

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Fibrous joints are a type of joint where the bones are connected by fibrous connective tissue. These joints provide stability and minimal to no movement between the articulating bones. There are three types of fibrous joints.
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All the bones of the skull, except for the mandible, are joined to each other by a fibrous joint called a suture. The fibrous connective tissue found at a suture strongly unites the adjacent skull bones and thus helps to protect the brain and form the face. In...
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Structural Joints: Cartilaginous Joints01:17

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As the name indicates, at a cartilaginous joint, the adjacent bones are united by cartilage, a tough but flexible type of connective tissue. Unlike synovial joints, these types of joints lack a joint cavity and involve bones joined together by either hyaline cartilage or fibrocartilage.
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Synovial joints are the most common type of joint in the body. A key structural characteristic for a synovial joint is the presence of a joint cavity. This fluid-filled space is where the articulating surfaces of the bones contact each other. Also, unlike fibrous or cartilaginous joints, the articulating bone surfaces at a synovial joint are not directly connected to each other with fibrous connective tissue or cartilage. This gives the bones of a synovial joint the ability to move smoothly...
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The eukaryotic nucleus is a double membrane-bound organelle that contains nearly all of the cell’s genetic material in the form of chromosomes. It is rightly called the “brain” of the cell as it shoulders the responsibility of responding to various physiological processes, stress, altered metabolic conditions, and other cellular signals. 
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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
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Nonlinear association structures in flexible Bayesian additive joint models.

Meike Köhler1,2, Nikolaus Umlauf3, Sonja Greven4

  • 1Institute of Diabetes Research, Helmholtz Zentrum München, Neuherberg, Germany.

Statistics in Medicine
|October 12, 2018
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Summary
This summary is machine-generated.

Flexible additive joint models capture nonlinear associations between longitudinal biomarkers and event processes. This approach enhances understanding of disease progression and outcomes, particularly in complex biomedical data analysis.

Keywords:
P-splinesjoint modellongitudinal datanonlinear associationtime-to-event data

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Area of Science:

  • Biostatistics
  • Statistical Modeling
  • Longitudinal Data Analysis

Background:

  • Joint models are crucial for analyzing longitudinal biomarkers and event processes.
  • Existing models often assume linear associations, which may be restrictive and unchecked.
  • There is a need for flexible models to capture complex relationships.

Purpose of the Study:

  • To present an extended framework for flexible additive joint models.
  • To enable estimation of nonlinear, covariate-specific associations.
  • To provide a tool for more accurate modeling of biomarker-event relationships.

Main Methods:

  • Utilized Bayesian P-splines for estimating nonlinear associations.
  • Employed structured additive predictors within a Bayesian framework.
  • Developed flexible models for longitudinal, survival, and association submodels.

Main Results:

  • Demonstrated the ability to capture both linear and nonlinear associations.
  • Assessed model performance through simulations.
  • Illustrated application on primary biliary cirrhosis data.

Conclusions:

  • Flexible additive joint models offer enhanced capabilities for analyzing complex biomedical data.
  • The proposed Bayesian framework allows for flexible specification of model components.
  • The R package bamlss facilitates practical application of these advanced joint models.