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Statistical thinking for non-statisticians in drug regulation / Richard Kay.

By: Publisher: Chichester, West Sussex, UK : John Wiley & Sons Inc., 2015Edition: Second editionDescription: xxii, 346 pages : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781118470947
  • 111847094X
Subject(s): Additional physical formats: Online version:: Statistical thinking for non-statisticians in drug regulation.
Contents:
Basic ideas in clinical trial design -- Sampling and inferential statistics -- Confidence intervals and p-values -- Tests for simple treatment comparisons -- Adjusting the analysis -- Regression and analysis of covariance -- Intention-to-treat and analysis sets -- Power and sample size -- Statistical significance and clinical importance -- Multiple testing -- Non-parametric and related methods -- Equivalence and non-inferiority -- The analysis of survival data -- Interim analysis and data monitoring committees -- Bayesian statistics -- Adaptive designs -- Observational studies -- Meta-analysis -- Methods for the safety analysis and safety monitoring -- Diagnosis -- The role of statistics and statisticians.
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Holdings
Item type Current library Home library Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN DR ABDUL LATIFF PERPUSTAKAAN DR ABDUL LATIFF KOLEKSI AM-P. DR ABDUL LATIFF QV771.4.K123s 2015 9 (Browse shelf(Opens below)) 1 Available 00002123662

Includes bibliographical references and index.

Basic ideas in clinical trial design -- Sampling and inferential statistics -- Confidence intervals and p-values -- Tests for simple treatment comparisons -- Adjusting the analysis -- Regression and analysis of covariance -- Intention-to-treat and analysis sets -- Power and sample size -- Statistical significance and clinical importance -- Multiple testing -- Non-parametric and related methods -- Equivalence and non-inferiority -- The analysis of survival data -- Interim analysis and data monitoring committees -- Bayesian statistics -- Adaptive designs -- Observational studies -- Meta-analysis -- Methods for the safety analysis and safety monitoring -- Diagnosis -- The role of statistics and statisticians.

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