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| Pt. 1 | Physiological and pharmacological modelling | |
| 1.1 | Models and modelling | |
| 1.2 | Inputs and outputs | |
| 1.3 | Steady states: alveolar ventilation V[subscript A] and Paco[subscript 2] | |
| 1.4 | Gas laws | |
| 1.5 | Flux and the Fick principle | |
| 1.6 | Fick and cardiac output: dilution methods | |
| 1.7 | Fick and cerebral blood flow | |
| 1.8 | Apnoeic mass transfer oxygenation | |
| 1.9 | Nitrogen washout | |
| 1.10 | Time constants | |
| 1.11 | Step change in VA | |
| 1.12 | Pulmonary air embolism | |
| 1.13 | Pharmacokinetic models | |
| 1.14 | Drug-receptor interaction | |
| 1.15 | Receptor-mediated drug antagonism | |
| 1.16 | Oscillating systems | |
| 1.17 | Damped oscillations | |
| 1.18 | Forced oscillations | |
| 1.19 | Modelling arterial pressure waves | |
| Pt. 2 | Mathematical background | |
| 2.1 | Basics | |
| 2.2 | Functions | |
| 2.3 | Pattern functions and transformations | |
| 2.4 | Constant function | |
| 2.5 | Linear functions | |
| 2.6 | Rectangular hyperbolic functions | |
| 2.7 | Polynomial functions | |
| 2.8 | Inverse functions | |
| 2.9 | Exponential & logarithmic functions | |
| 2.10 | Sinusoidal functions | |
| 2.11 | Functions of more than one variable | |
| 2.12 | The derivative and differentiation | |
| 2.13 | Maxima and minima | |
| 2.14 | Integrals | |
| 2.15 | Differential equations | |
| 2.16 | Numerical methods for differential equations | |
| Pt. 3 | Probability and statistics | |
| 3.1 | Probability models and simulation | |
| 3.2 | Simulating random events: anaphylactold reactions to anaesthesia | |
| 3.3 | Waiting times in a Poisson process | |
| 3.4 | Passing the fellowship examination | |
| 3.5 | Measuring SVP: the normal distribution | |
| 3.6 | Modelling with random variables | |
| 3.7 | Sums and differences of random variables (RVs) | |
| 3.8 | Probability | |
| 3.9 | Conditional probability and Bayes' theorem | |
| 3.10 | Summary measures: location and dispersion | |
| 3.11 | The normal distribution | |
| 3.12 | Statistical inference | |
| 3.13 | Sample mean | |
| 3.14 | Sample variance | |
| 3.15 | Significance testing | |
| 3.16 | Samples of unknown mean and variance | |
| 3.17 | Categorical data | |
| 3.18 | Related variables: linear regression | |
| 3.19 | Related variables: correlation | |
| 3.20 | Distribution-free methods | |
| 3.21 | IOP revisited | |
| Bibliography | ||
| Index |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Faye E. Hoffman
reviewed Mathematics and Statistics in Anaesthesia on March 04, 2019
Mathematics and Statistics in Anaesthesia
I suppose this book is ok if you're looking for something seriously educational for an older child, but it's way too overwhelming for a kid who still likes picture books. I was expecting this to be similar to the other books in the Fred Ehrlich series, combining humor and information in a child-friendly way, but with words like "lesions" and "isolate," even my first-grader lost interest quickly. The Magic School Bus series does a great job tackling this kind of suject matter in a way that engages young kids and doesn't talk over their heads, so I think we'll stick with that route. I would really only pick up this book again to teach something specific, such as Blisters, Bites, and Other Skin Troubles NOT Caused by Germs, on an as-needed basis (there's a table of contents).
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Add Mathematics and Statistics in Anaesthesia, Anesthesia residents often have enormous trouble understanding the quantitative aspects of the basic sciences underlying clinical anesthetic practice. The subjects of pharmokinetics and statistics are often unpopular with trainees, and studied with little, Mathematics and Statistics in Anaesthesia to the inventory that you are selling on WonderClubX
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Add Mathematics and Statistics in Anaesthesia, Anesthesia residents often have enormous trouble understanding the quantitative aspects of the basic sciences underlying clinical anesthetic practice. The subjects of pharmokinetics and statistics are often unpopular with trainees, and studied with little, Mathematics and Statistics in Anaesthesia to your collection on WonderClub |