Medical statistics from scratch : an introduction for health care professionals /

Correctly understanding and using medical statistics is a key skill for all medical students and health professionals. In an informal and friendly style, Medical Statistics from Scratch provides a practical foundation for everyone whose first interest is probably not medical statistics. Keeping the...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bowers, David, 1938- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex, UK ; Hoboken, NJ : Wiley-Blackwell, 2014.
Edición:Third edition.
Temas:
Medical statistics.
Medicine > Research > Statistical methods.
Biometry.
Biometry
Statistics as Topic > methods
Médecine > Recherche > Méthodes statistiques.
Biométrie.
biometrics.
HEALTH & FITNESS > Holism.
HEALTH & FITNESS > Reference.
MEDICAL > Alternative Medicine.
MEDICAL > Atlases.
MEDICAL > Essays.
MEDICAL > Family & General Practice.
MEDICAL > Holistic Medicine.
MEDICAL > Osteopathy.
Medical statistics
Medicine > Research > Statistical methods
Acceso en línea:Texto completo
Tabla de Contenidos:
  • First things first? : the nature of data
  • Describing data with tables
  • Describing data with charts
  • Describing data from its shape
  • Describing data with measures of location
  • Describing data with measures of spread
  • Confounding? : like poor(nearly) always with us
  • Research design part I observational
  • Research design part II experimental studies
  • Getting the participants for your study. ways of sampling
  • Chance would be a fine thing? : the idea of probability
  • Risk and odds
  • Estimating the value of a single population parameter? : the idea of confidence intervals
  • Using confidence intervals to compare two population parameters
  • Confidence intervals for the ratio of two population parameters
  • Testing hypotheses about the difference between two population parameters
  • The chi-squared test? : what, why, and how?
  • Testing hypotheses about the ratio of two population parameters
  • Measuring the association between two variables
  • Measuring agreement
  • Straight line models : linear regression
  • Curvy models : logistic regression
  • Measuring survival
  • Systematic review and meta-analysis
  • Diagnostic testing.

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