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American Joint Replacement Research-Collaborative
Приєднався 20 сер 2021
Propensity Scores: Confounder Adjustment When Comparing Non-Randomized Groups in Orthopaedic Surgery
Many studies in arthroplasty research are based on non-randomized, retrospective, registry-based cohorts. In these types of studies, patients belonging to different treatment or exposure groups often differ with respect to patient characteristics, medical histories, surgical indications, or other factors. Consequently, comparisons of non-randomized groups are often subject to treatment selection bias and confounding. Propensity scores can be used to balance cohort characteristics, thus helping to minimize potential bias and confounding. This article explains how propensity scores are created and describes multiple ways in which they can be applied in the analysis of non-randomized studies.
Переглядів: 158
Відео
Patient-Reported Outcomes in Orthopaedics
Переглядів 183Рік тому
The Nuts and Bolts of Patient-Reported Outcomes in Orthopaedics ABSTRACT Patient-reported outcomes (PROs) are commonly used in orthopaedic clinical practice, comparative effectiveness research, and label claims. In this paper, we provide an overview of PROs, their development, validation and use in orthopaedic research with examples, and conclude with practical guidelines for researchers and re...
Introduction to Machine Learning for Orthopedic Surgeons
Переглядів 1 тис.Рік тому
What You Need to Know to Start Machine Learning Research for Orthopedic Surgery The growth of artificial intelligence (AI) combined with the collection and storage of large amounts of data in the electronic medical record collection (EMR) has created an opportunity for orthopedic research and translation into the clinical environment. Machine learning (ML) is a type of AI tool well suited for p...
Risk Prediction Models in Orthopedics
Переглядів 170Рік тому
How to Develop and Validate Prediction Models for Orthopedic Outcomes Prediction models are common in medicine for predicting outcomes such as mortality, complications or response to treatment. Despite the growing interest in these models in orthopedics, few have been adopted in clinical practice. If robustly built and validated, prediction models can be excellent tools to support surgical deci...
Causation vs Correlation in Orthopedics
Переглядів 228Рік тому
How to Distinguish Correlation from Causation in Orthopaedic Research Correlations in observational studies are commonly misinterpreted as causation. Although correlation is necessary to establish a causal relationship between two variables, correlations may also arise due to chance, reverse causality, or confounding. There are several methods available to orthopaedic researchers to determine w...
Introduction to Medical Imaging Data (Computer Vision)
Переглядів 5 тис.2 роки тому
In this video, we will first explain how machine learning algorithms analyze medical imaging data and later explore what can be achieved using them in clinical or research practice. We avoid technical jargon to make our content suitable for a broad range of audiences.
Introduction to Machine Learning
Переглядів 3032 роки тому
In this video, we will walk you through the world of machine learning and briefly introduce you to the main areas of this field that are gaining more and more attention in the medical domain. We avoid technical jargon to make our content suitable for a broad range of audiences.
Clinical Natural Language Processing
Переглядів 2382 роки тому
This introduction consists of three parts with learning objectives to help understand: (1) clinical natural language process (NLP) techniques and applications in various analytics, (2) NLP use cases in orthopedics, and (3) NLP-empowered clinical research in both single- and multi-site health institutions.
Intro to Machine Learning for Tabular Data
Переглядів 4602 роки тому
Intro to Machine Learning for Tabular Data
P-values and Power in in Orthopedic Research
Переглядів 2762 роки тому
P-values and Power in in Orthopedic Research: Myths and Reality The results of statistical tests in orthopedic studies are typically reported using p-values but they are frequently misinterpreted. A statistically nonsignificant does not mean that the null hypothesis is true. It only means that there is not enough evidence against the null hypothesis.
Avoiding Systematic Bias in Orthopedics Research through Informed Variable Selection
Переглядів 1052 роки тому
Avoiding Systematic Bias in Orthopedics Research through Informed Variable Selection: A Discussion of Confounders, Mediators, and Collider Confounders, colliders and mediators are the three common variable types in orthopedic research that differ in their association and temporal ordering with exposures and outcomes. The decision to include or exclude them in statistical models should be based ...
Study Types in Orthopedics Research: Is my study design appropriate for the research question?
Переглядів 2632 роки тому
Study Types in Orthopedics Research: Is my study design appropriate for the research question? When performing orthopedic clinical research, alternative study designs are needed depending on the research question, availability of data and feasibility. The most common observational study designs in total joint arthroplasty research are cohort case-control and cross-sectional studies. This video ...
Measurement Error and Misclassification in Orthopedics
Переглядів 1262 роки тому
Measurement error refers to inaccurate measurement of continuous variables whereas misclassification refers to assigning subjects in the wrong exposure and/or outcome groups. Misclassification of any type can result in under- or over-estimation of the association between exposures and outcomes.
Adjusted Survival Curves
Переглядів 8703 роки тому
Adjusted survival curves create a fair visualization of time-to-event data when there is an imbalance of patient characteristics between groups. This video explains how and when to use adjusted survival curves in orthopedics research.
Competing Risk Analysis
Переглядів 3,3 тис.3 роки тому
A competing risk in survival analysis is any event that prevents the event of interest from occurring. This video explains common competing risks in orthopedics research and how to account for competing risks in statistical analysis.
thanks for such lucid explanation , but where -in your example- one can find data at genomic level to help predict the outcome / risk in form average conditional expectation for the case of orthopedic patients ?
Amazing. I think the next future of orthopaedic surgery will be to put in a scan of the original bone and a scan of the ruined bone. The computer will elaborate the right interventions to do to make it as it was, including the number of surgeries required. I think one day there will be a bank of scans of everyone’s skeleton. And if an injury occurs they will know straight away what todo, how to do it. Interesting as well when he mentioned the comunication between human and robotic arms during surgery. Very interesting. The robotic hands could be extreamelly precise where no human could. Come on. They work on nanopartcles. I’m sure we can reach a level in orthopedic traumatology where you can’t tell the difference between an original bone and a riconstructed one. Humans when apply their skills with intelligence are mesmerising. 💙
Can you please help with the articles? I am unable to find them
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