相关实验视频

Updated: Jul 8, 2025

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.1K

简化质量结果数据库网络计算器的性能:内部和外部验证

Leah Y Carreon1, Hui Nian2, Kristin R Archer3

  • 1Norton Leatherman Spine Center, 210 East Gray St, Suite 900, Louisville, KY, USA; Center for Spine Surgery and Research, Region of Southern Denmark, Østre Hougvej 55, DK-5500, Middelfart, Denmark; Institute of Regional Health Research, University of Southern Denmark, Winsløwparken 19, 3, DK-5000, Odense, Denmark.

The spine journal : official journal of the North American Spine Society
|December 11, 2023
PubMed
概括

质量结果数据库基于网络的计算器 (QOD-Calc) 准确地预测在类似人群中腰椎手术后患者的改善情况. 在一个不同的群体中,表现略有下降,这表明需要针对特定人群的预测模型.

关键词:
背部疼痛 背部疼痛外部验证的验证方法内部验证内部验证腿部疼痛 腿部疼痛 腿部疼痛腰椎手术是腰椎脊柱的手术.奥斯威斯特里残疾人指数预测模型是一个预测模型.基于Web的模型模型.

更多相关视频

Development of a Virtual Reality Assessment of Everyday Living Skills10:32

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

18.5K
Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

3.3K

相关概念视频

Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
5.1K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
843
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
130
Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
135
Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
903
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.5K