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Produktbild: Crossover Designs

Crossover Designs Testing, Estimation, and Sample Size

Aus der Reihe Statistics in Practice

132,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

03.10.2016

Verlag

John Wiley & Sons

Seitenzahl

248

Maße (L/B/H)

23,1/15,2/1,8 cm

Gewicht

431 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-11468-0

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

03.10.2016

Verlag

John Wiley & Sons

Seitenzahl

248

Maße (L/B/H)

23,1/15,2/1,8 cm

Gewicht

431 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-11468-0

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Crossover Designs
  • About the author xi
     
    Preface xii
     
    About the companion website xiv
     
    1 Crossover design - definitions, notes, and limitations 1
     
    1.1 Unsuitability for acute or most infectious diseases 2
     
    1.2 Inappropriateness for treatments with long-lasting effects 2
     
    1.3 Loss of efficiency in the presence of carry-over effects 3
     
    1.4 Concerns of treatment-by-period interaction 3
     
    1.5 Flaw of the commonly used two-stage test procedure 4
     
    1.6 Higher risk of dropping out or being lost to follow-up 4
     
    1.7 More assumptions needed in use of a crossover design 5
     
    1.8 General principle and conditional approach used in the book 5
     
    2 AB/BA design in continuous data 7
     
    2.1 Testing non-equality of treatments 10
     
    2.2 Testing non-inferiority of an experimental treatment to an active control treatment 11
     
    2.3 Testing equivalence between an experimental treatment and an active control treatment 12
     
    2.4 Interval estimation of the mean difference 13
     
    2.5 Sample size determination 16
     
    2.5.1 Sample size for testing non-equality 16
     
    2.5.2 Sample size for testing non-inferiority 17
     
    2.5.3 Sample size for testing equivalence 18
     
    2.6 Hypothesis testing and estimation for the period effect 19
     
    2.7 Estimation of the relative treatment effect in the presence of differential carry-over effects 21
     
    2.8 Examples of SAS programs and results 22
     
    Exercises 27
     
    3 AB/BA design in dichotomous data 30
     
    3.1 Testing non-equality of treatments 34
     
    3.2 Testing non-inferiority of an experimental treatment to an active control treatment 36
     
    3.3 Testing equivalence between an experimental treatment and an active control treatment 39
     
    3.4 Interval estimation of the odds ratio 40
     
    3.5 Sample size determination 42
     
    3.5.1 Sample size for testing non-equality 42
     
    3.5.2 Sample size for testing non-inferiority 42
     
    3.5.3 Sample size for testing equivalence 43
     
    3.6 Hypothesis testing and estimation for the period effect 45
     
    3.7 Testing and estimation for carry-over effects 47
     
    3.8 SAS program codes and likelihood-based approach 48
     
    Exercises 51
     
    4 AB/BA design in ordinal data 57
     
    4.1 Testing non-equality of treatments 62
     
    4.2 Testing non-inferiority of an experimental treatment to an active control treatment 64
     
    4.3 Testing equivalence between an experimental treatment and an active control treatment 65
     
    4.4 Interval estimation of the generalized odds ratio 66
     
    4.5 Sample size determination 67
     
    4.5.1 Sample size for testing non-equality 67
     
    4.5.2 Sample size for testing non-inferiority 68
     
    4.5.3 Sample size for testing equivalence 68
     
    4.6 Hypothesis testing and estimation for the period effect 70
     
    4.7 SAS codes for the proportional odds model with normal random effects 72
     
    Exercises 74
     
    5 AB/BA design in frequency data 75
     
    5.1 Testing non-equality of treatments 78
     
    5.2 Testing non-inferiority of an experimental treatment to an active control treatment 81
     
    5.3 Testing equivalence between an experimental treatment and an active control treatment 83
     
    5.4 Interval estimation of the ratio of mean frequencies 84
     
    5.5 Sample size determination 86
     
    5.5.1 Sample size for testing non-equality 86
     
    5.5.2 Sample size for testing non-inferiority 87
     
    5.5.3 Sample size for testing equivalence 88
     
    5.6 Hypothesis testing and estimation for the period effect 88
     
    5.7 Estimation of the relative treatment effe