1 Preliminaries2 Syllabus 3 Introduction4 Musculoskeletal Anatomy5 Basic biomechanics6 Link dynamic models
6.1 Basic concepts6.2 Static analysis of the skeletal system6.3 Computation of reaction forces
6.3.1 Equilibrium revisited6.3.2 Force diagrams, statically equivalent forces, and “free body diagrams”6.3.3 Force diagrams, statically equivalent forces, and “free body diagrams”6.3.4 Force diagrams, statically equivalent forces, and “free body diagrams”6.3.5 Force diagrams, statically equivalent forces, and “free body diagrams”6.3.6 Force diagrams, statically equivalent forces, and “free body diagrams”6.3.7 The problem of redundancy (a mathematical problem)6.3.8 Additional examples of static analysis6.3.9 Indeterminance6.3.10 Example–rigid link analysis of body segments6.3.11 6.3.12 6.3.13 The Joint Force Distribution Problem6.3.14 Auxiliary conditions6.3.15 Optimization Technique 6.4 The musculoskeletal dynamics problem6.5 Anthropometry6.6 Sources of Anthropometric Data6.7 Deficiencies And Shortcomings Of Anthropometric Data6.8 Specific Examples Of Deficiencies6.9 Joint stability 7 Mechanical Descriptions of Tissue8 Cartilage biomechanics9 Ligaments and tendon mechanics (Bartel Chapter 4)10 Muscle mechanics11 Arthroplasty12 Tendon and Ligament: Anatomy, Function and Mechanics13 Tendon and Ligament Mechanics (Jastifer)14 Muscle Mechanics (Jastifer)15 Structural Analysis16 Beam Bending17 Torsion of solid shafts18 Finite elements19 Bartel Chapter 7 Bone Implant Systems20 Bartel Chapter 8 Fracture Fixation Devices materials were covered by Drs. Jaster and Geeslin21 Bartel Chapter 9 Total Hip Replacement22 Bartel Chapter 10: Total Knee Replacement23 Bartel Chapter 11: Articulating Surfaces24 Primer on Statistics25 Probability Distributions26 The Foundations of Statistic Analysis27 Examples of power analysis calculations using R28 Sizing based on initial data – look a ficticious data29 Sample survivorships study30 Appendix31 OpenStax slides32 OpenStax chapter 8 images: Joints33 Miscellaneous
Power analysis
a priori power analysis
In an a priori power analysis , the type I error rate is
chosen (e.g., 0.05), the power is chosen (e.g., 80%), and then the
sample size needed to achieve the desired power is calculated
One must have an estimate of the effect size, ie the expected
difference between the null and alternative hypotheses
The experiment is executed with that number of samples
You may need to do a small number of tests to estimate the
difference and then re-compute the required number of specimens