Mathematics and statistics in anaesthesia
著者
書誌事項
Mathematics and statistics in anaesthesia
（Oxford medical publications）
Oxford University Press, 1998
- : hbk
- : pbk
- タイトル別名
-
Mathematics and statistics in anesthesia
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注記
Bibliography: p. 251-252
Includes index
内容説明・目次
- 巻冊次
-
: pbk ISBN 9780192623126
内容説明
Anaesthetic trainees often have enormous trouble understanding the quantitative aspects of the basic sciences underlying clinical anaesthetic practice. The subjects of pharmokinetics and statistics are often unpopular with trainees, and studied with little enthusiasm. In spite of their reluctance, this is an area that they are required to study and understand as a core part of their training for postgraduate exams. Mathematics and statistics for
anaesthetists presents simple mathematical ideas, and explains how these can be used to model and understand problems which arise in clinical anaesthesia. The common features of the underlying mathematics are emphasised through a pictorial/graphical approach, in preference to vast amounts of algebra. The book presents
statistics in an informal and less intimidating style that most standard statistical texts, incorporating illustrations and cartoons throughout. The book will be valuable to anaesthetists, in guiding them through what can be an intimidating part of their training.
目次
- SECTION 1 PHYSIOLOGICAL AND PHARMACOLOGICAL MODELLING
- Introduction
- The input-output principle
- Steady-states: Alveolar ventillation & PaCO2
- Gas laws
- Flux & the Fick principle
- Fick & cardiac output
- dilution methods
- Fick & cerebral blood flow
- Apnoeic oxygenation
- Nitrogen washout and preoxygeneration
- Time constants
- Step change in ventilation
- Air embolism
- Pharmacokinetic models
- Drug-receptor interaction
- Drug antagonism
- Oscillating systems
- Damped oscillations
- Forced oscillation
- Modelling arterial pressure waves
- SECTION 2 - MATHEMATICAL BACKGROUND
- Numbers
- Functions
- Pattern functions & transformation
- Constant function
- Linear
- Rectangular hyperbolic functions
- Polynomial functions
- Inverse functions
- Exponential & logarithmic functions
- Sinusoidal functions
- Functions of more than one variable
- The derivative & differentiation
- Maxima & minima
- Integration
- Differential equations
- Numerical methods for differential equations
- SECTION 3 - PROBABILITY & STATISTICS
- Probability models and simulation
- Waiting times in a Poisson process
- Passing the fellowship
- the binomial distribution
- Measuring SVP
- the normal distribution
- Modelling with random variables
- Sums of random variables
- Probability
- Conditional probability & Bayes theorem
- Summary measures
- location and dispersion
- The normal distribution
- Statistical inference
- Sample mean. Estimation & confidence
- Sample variance
- Significance testing
- Samples of unknown mean and variance
- Categorial data
- Related variables
- linear regression
- Related variables
- correlation
- Distribution-free methods
- Stochastic IOP. Queues
- Bibliography
- Index
- 巻冊次
-
: hbk ISBN 9780192623133
内容説明
Anaesthetic trainees often have enormous trouble understanding the quantitative aspects of the basic sciences underlying clinical anaesthetic practice. The subjects of pharmokinetics and statistics are often unpopular with trainees, and studied with little enthusiasm. In spite of their reluctance, this is an area that they are required to study and understand as a core part of their training for postgraduate exams.
Mathematics and Statistics for Anaesthetists presents simple mathematical ideas, and explains how these can be used to model and understand problems which arise in clinical anaesthesia. The common features of the underlying mathematics are emphasized through a pictorial/graphical approach, in preference to vast amounts of algebra. The book presents statistics in an informal and less intimidating style that most standard statistical texts, incorporating illustrations and cartoons
throughout. The book will be valuable to anaesthetists, in guiding them through what can be an intimidating part of their training.
目次
- SECTION 1 PHYSIOLOGICAL AND PHARMACOLOGICAL MODELLING
- Introduction
- The input-output principle
- Steady-states: Alveolar ventillation & PaCO2
- Gas laws
- Flux & the Fick principle
- Fick & cardiac output
- dilution methods
- Fick & cerebral blood flow
- Apnoeic oxygenation
- Nitrogen washout and preoxygeneration
- Time constants
- Step change in ventilation
- Air embolism
- Pharmacokinetic models
- Drug-receptor interaction
- Drug antagonism
- Oscillating systems
- Damped oscillations
- Forced oscillation
- Modelling arterial pressure waves
- SECTION 2 - MATHEMATICAL BACKGROUND
- Numbers
- Functions
- Pattern functions & transformation
- Constant function
- Linear
- Rectangular hyperbolic functions
- Polynomial functions
- Inverse functions
- Exponential & logarithmic functions
- Sinusoidal functions
- Functions of more than one variable
- The derivative & differentiation
- Maxima & minima
- Integration
- Differential equations
- Numerical methods for differential equations
- SECTION 3 - PROBABILITY & STATISTICS
- Probability models and simulation
- Waiting times in a Poisson process
- Passing the fellowship
- the binomial distribution
- Measuring SVP
- the normal distribution
- Modelling with random variables
- Sums of random variables
- Probability
- Conditional probability & Bayes theorem
- Summary measures
- location and dispersion
- The normal distribution
- Statistical inference
- Sample mean. Estimation & confidence
- Sample variance
- Significance testing
- Samples of unknown mean and variance
- Categorial data
- Related variables
- linear regression
- Related variables
- correlation
- Distribution-free methods
- Stochastic IOP. Queues
- Bibliography
- Index
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