Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Causality in Epidemiology01:21

Causality in Epidemiology

1.7K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.7K
Exceptions to the Octet Rule02:55

Exceptions to the Octet Rule

37.9K
Many covalent molecules have central atoms that do not have eight electrons in their Lewis structures. These molecules fall into three categories:
37.9K
Lewis Symbols and the Octet Rule02:36

Lewis Symbols and the Octet Rule

82.5K
Chemical bonds are complex interactions between two or more atoms or ions, which reduce the potential energy of the molecule. Gilbert N. Lewis developed a model called the Lewis model that simplified the depiction of chemical bond formation and provided straightforward explanations for the chemical bonds seen in most common compounds.
82.5K
The Aufbau Principle and Hund's Rule03:02

The Aufbau Principle and Hund's Rule

74.3K
To determine the electron configuration for any particular atom, we can build the structures in the order of atomic numbers. Beginning with hydrogen, and continuing across the periods of the periodic table, we add one proton at a time to the nucleus and one electron to the proper subshell until we have described the electron configurations of all the elements. This procedure is called the aufbau principle, from the German word aufbau (“to build up”). Each added electron occupies the...
74.3K
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

578
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
578
Muscles that Move the Arm01:31

Muscles that Move the Arm

4.9K
Nine muscles are involved in arm movements. Two of these, the pectoralis major and latissimus dorsi, originate from the axial skeleton and are called axial muscles. The other seven originate from the scapula and are called the scapular muscles.
The pectoralis major has two origins. Its clavicular head originates on the medial half of the clavicle. In contrast, the sternocostal head originates on the costal cartilages of ribs 1-6, the sternum, and the aponeurosis of the external oblique of the...
4.9K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Efficacy and safety of single high-dose intravenous ferric carboxymaltose in patients undergoing hemodialysis: a multicenter, single-arm, open-label, clinical trial.

BMC nephrology·2026
Same author

Appearance of Pancreas Predictive of Cancer Presence: Utility of Computed Tomography Volumetry.

Cancers·2026
Same author

Novel insights into the histopathological characteristics of immune checkpoint inhibitor-related myocarditis.

ESC heart failure·2026
Same author

Efficacy of an internal traction device in colorectal endoscopic submucosal dissection: a multicenter randomized controlled trial.

Surgical endoscopy·2026
Same author

Primary tumor surgical resection in multimodal treatment of stage IVA non-small cell lung cancer-comparison of resected and non-resected cases.

Journal of thoracic disease·2026
Same author

Docetaxel plus ramucirumab immediately after immunotherapy in advanced NSCLC: A phase II study (DRUN).

Lung cancer (Amsterdam, Netherlands)·2026
Same journal

Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.

Statistics in medicine·2026
Same journal

Adaptive Sequential Multiple Hypotheses Testing for Concomitant Vaccine Safety Surveillance.

Statistics in medicine·2026
Same journal

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.

Statistics in medicine·2026
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
Same journal

Moving From Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained From Prevention Services as a Basis for Eligibility.

Statistics in medicine·2026
関連記事をすべて見る

関連する実験動画

Updated: Feb 13, 2026

A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion
10:31

A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion

Published on: September 25, 2014

14.0K

マルチアームデータに対する因果規則アンサンブルアプローチ

Ke Wan1, Kensuke Tanioka2, Toshio Shimokawa3

  • 1Department of Medical Data Science, Wakayama Medical University, Wakayama City, Japan.

Statistics in medicine
|February 12, 2026
PubMed
まとめ
この要約は機械生成です。

この研究は,多腕試験における異質な治療効果 (HTE) を推定するための新しい解釈可能な機械学習フレームワークを導入しています. この方法は,精度を改善し,既存のアプローチと比較してバイアスを軽減し,精密医療を支援します.

キーワード:
異質な治療効果の見積もり解釈の解釈は,解釈の解釈である.マルチアームデータ精密医療とはルールアンサンブルモデル,ルールアンサンブルモデル

さらに関連する動画

Transcranial Magnetic Stimulation for Investigating Causal Brain-behavioral Relationships and their Time Course
11:33

Transcranial Magnetic Stimulation for Investigating Causal Brain-behavioral Relationships and their Time Course

Published on: July 18, 2014

44.1K
A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

550

関連する実験動画

Last Updated: Feb 13, 2026

A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion
10:31

A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion

Published on: September 25, 2014

14.0K
Transcranial Magnetic Stimulation for Investigating Causal Brain-behavioral Relationships and their Time Course
11:33

Transcranial Magnetic Stimulation for Investigating Causal Brain-behavioral Relationships and their Time Course

Published on: July 18, 2014

44.1K
A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

550

科学分野:

  • バイオ統計学 バイオ統計学
  • 機械学習 (Machine Learning) とは,機械学習 (Machine Learning) について学ぶことです.
  • 精密医療とは

背景:

  • 異質な治療効果 (HTE) を推定することは,パーソナライズド医療にとって極めて重要です.
  • 既存のHTE方法は,主にバイナリ処理に対応しており,マルチアームの設定では解釈できない.

研究 の 目的:

  • マルチアーム試験におけるHTE推定のための解釈可能な機械学習の枠組みを開発する.
  • マルチアームの治療効果分析の正確性と解釈性を高めるために.

主な方法:

  • HTE推定のための新しいルールベースのアンサンブルアプローチ.
  • ルール生成,ルールアセンブリング,HTE推定段階を含む.
  • マルチアーム臨床試験の設定のために設計されています.

主要な成果:

  • 提案された方法は,最先端のアプローチよりも低いバイアスと高い推定精度を示しています.
  • シミュレーション研究と現実世界のデータアプリケーションで優れたパフォーマンスを達成しました.
  • フレームワークは,治療効果に対する共変数の影響に関する明確な洞察を提供します.

結論:

  • 解釈可能なフレームワークは,マルチアーム HTE 推定のための貴重なツールを提供します.
  • 治療効果の変動を明確にすることで,臨床的意思決定を容易にする.
  • 正確で解釈可能なHTE分析を通じて,精密医療の進歩をサポートしています.