Home Research Publications & Presentations The AJRR-C team wrote the October 2022 issue of the JBJS: Journal of Bone and Joint Surgery to share the products of a symposium we hosted. The issue included the following articles: Editorial Large Database and Registry Research in Joint Arthroplasty and Orthopaedics. Databases Commercial Claims Data Sources: PearlDiver and Individual Payer Databases. International Registries: U.K. National Joint Registry, Nordic Registries, and Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR). Large Surgical Databases with Direct Data Abstraction: VASQIP and ACS-NSQIP. State-Based and National U.S. Registries: The Michigan Arthroplasty Registry Collaborative Quality Initiative (MARCQI), California Joint Replacement Registry (CJRR), and American Joint Replacement Registry (AJRR). State and Government Administrative Databases: Medicare, National Inpatient Sample (NIS), and State Inpatient Databases (SID) Programs. Database-related topics Administrative Data Use in National Registry Efforts: Blessing or Curse? Analysis of New Orthopaedic Technologies in Large Database Research. Getting More Out of Large Databases and EHRs with Natural Language Processing and Artificial Intelligence: The Future Is Here. Linkage Between Databases in Joint Arthroplasty and Orthopaedics: The Way Forward? Optimizing Use of Large Databases in Joint Arthroplasty and Orthopaedics. Current concepts in statistics The American Joint Replacement Research-Collaborative has published research on statistical concepts including survivorship analysis, study design, statistical analyses and artificial intelligence. When available, videos are provided to supplement the published articles. Survivorship analysis Living with survival analysis in orthopedics. Living with survival analysis: Part 1. (YouTube) Living with survival analysis: Part 2. (YouTube) Adjusted survival curves improve understanding of multivariable Cox model results. Adjusted survival curves. (YouTube) Competing risk analysis: What does it mean and when do we need it in orthopedics research? Competing risk analysis. (YouTube) Immortal time bias in the analysis of time-to-event data in orthopedics. Immortal time bias. (YouTube) Study design Avoiding systematic bias in orthopedics research through informed variable selection: A discussion of confounders, mediators, and colliders. Avoiding systematic bias in orthopedics research through informed variable selection. (YouTube) Measurement error and misclassification in orthopedics: When study subjects are categorized in the wrong exposure or outcome groups. Measurement error and misclassification in orthopedics. (YouTube) P-values and power in orthopedic research: Myths and reality. P-values and power in orthopedic research. (YouTube) Study types in orthopaedics research: Is my study design appropriate for the research question? Study types in orthopedics research: Is my study design appropriate for the research question? (YouTube) Statistical analyses How to develop and validate prediction models for orthopedic outcomes. Risk prediction models in orthopedics. (YouTube) How to distinguish correlation from causation in orthopaedic research. Causation vs. correlation in orthopedics. (YouTube) Nuts and bolts of patient-reported outcomes in orthopaedics. Patient-reported outcomes in orthopaedics. (YouTube) Propensity scores: Confounder adjustment when comparing nonrandomized groups in orthopaedic surgery. Propensity scores: Confounder adjustment when comparing non-randomized groups in orthopaedic surgery. (YouTube) Artificial intelligence (AI) An overview of machine learning in orthopedic surgery: An educational paper. Application of natural language processing in total joint arthroplasty: Opportunities and challenges. Demystifying statistics and machine learning in analysis of structured tabular data. Educational overview of the concept and application of computer vision in arthroplasty. Introduction to machine learning for orthopedic surgeons. (YouTube) AI workshops The AJRR-C organized a series of AI workshops in collaboration with Mayo Clinic's Musculoskeletal Research Training Program. The workshops are available to view on YouTube. Workshop 1: Introduction to Machine Learning. Workshop 2: Introduction to Machine Learning for Tabular Data. Workshop 3: Introduction to Medical Imaging Data (Computer Vision). Workshop 4: Clinical Natural Language Processing. Videos Watch videos on the AJRR-C YouTube channel.
The AJRR-C team wrote the October 2022 issue of the JBJS: Journal of Bone and Joint Surgery to share the products of a symposium we hosted. The issue included the following articles: Editorial Large Database and Registry Research in Joint Arthroplasty and Orthopaedics. Databases Commercial Claims Data Sources: PearlDiver and Individual Payer Databases. International Registries: U.K. National Joint Registry, Nordic Registries, and Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR). Large Surgical Databases with Direct Data Abstraction: VASQIP and ACS-NSQIP. State-Based and National U.S. Registries: The Michigan Arthroplasty Registry Collaborative Quality Initiative (MARCQI), California Joint Replacement Registry (CJRR), and American Joint Replacement Registry (AJRR). State and Government Administrative Databases: Medicare, National Inpatient Sample (NIS), and State Inpatient Databases (SID) Programs. Database-related topics Administrative Data Use in National Registry Efforts: Blessing or Curse? Analysis of New Orthopaedic Technologies in Large Database Research. Getting More Out of Large Databases and EHRs with Natural Language Processing and Artificial Intelligence: The Future Is Here. Linkage Between Databases in Joint Arthroplasty and Orthopaedics: The Way Forward? Optimizing Use of Large Databases in Joint Arthroplasty and Orthopaedics. Current concepts in statistics The American Joint Replacement Research-Collaborative has published research on statistical concepts including survivorship analysis, study design, statistical analyses and artificial intelligence. When available, videos are provided to supplement the published articles. Survivorship analysis Living with survival analysis in orthopedics. Living with survival analysis: Part 1. (YouTube) Living with survival analysis: Part 2. (YouTube) Adjusted survival curves improve understanding of multivariable Cox model results. Adjusted survival curves. (YouTube) Competing risk analysis: What does it mean and when do we need it in orthopedics research? Competing risk analysis. (YouTube) Immortal time bias in the analysis of time-to-event data in orthopedics. Immortal time bias. (YouTube) Study design Avoiding systematic bias in orthopedics research through informed variable selection: A discussion of confounders, mediators, and colliders. Avoiding systematic bias in orthopedics research through informed variable selection. (YouTube) Measurement error and misclassification in orthopedics: When study subjects are categorized in the wrong exposure or outcome groups. Measurement error and misclassification in orthopedics. (YouTube) P-values and power in orthopedic research: Myths and reality. P-values and power in orthopedic research. (YouTube) Study types in orthopaedics research: Is my study design appropriate for the research question? Study types in orthopedics research: Is my study design appropriate for the research question? (YouTube) Statistical analyses How to develop and validate prediction models for orthopedic outcomes. Risk prediction models in orthopedics. (YouTube) How to distinguish correlation from causation in orthopaedic research. Causation vs. correlation in orthopedics. (YouTube) Nuts and bolts of patient-reported outcomes in orthopaedics. Patient-reported outcomes in orthopaedics. (YouTube) Propensity scores: Confounder adjustment when comparing nonrandomized groups in orthopaedic surgery. Propensity scores: Confounder adjustment when comparing non-randomized groups in orthopaedic surgery. (YouTube) Artificial intelligence (AI) An overview of machine learning in orthopedic surgery: An educational paper. Application of natural language processing in total joint arthroplasty: Opportunities and challenges. Demystifying statistics and machine learning in analysis of structured tabular data. Educational overview of the concept and application of computer vision in arthroplasty. Introduction to machine learning for orthopedic surgeons. (YouTube) AI workshops The AJRR-C organized a series of AI workshops in collaboration with Mayo Clinic's Musculoskeletal Research Training Program. The workshops are available to view on YouTube. Workshop 1: Introduction to Machine Learning. Workshop 2: Introduction to Machine Learning for Tabular Data. Workshop 3: Introduction to Medical Imaging Data (Computer Vision). Workshop 4: Clinical Natural Language Processing. Videos Watch videos on the AJRR-C YouTube channel.