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How to design, analyse and report cluster randomised trials in medicine and health related research / / Michael J. Campbell and Stephen J. Walters
| How to design, analyse and report cluster randomised trials in medicine and health related research / / Michael J. Campbell and Stephen J. Walters |
| Autore | Campbell Michael J. <1950-> |
| Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (268 p.) |
| Disciplina | 610.72/4 |
| Collana | Statistics in Practice |
| Soggetto topico |
Randomized Controlled Trials as Topic
Data Interpretation, Statistical Health Services Research - method Research Design |
| ISBN |
1-118-76360-2
1-118-76345-9 1-118-76359-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; Acronyms and abbreviations; Chapter 1 Introduction; 1.1 Randomised controlled trials; 1.1.1 A-Allocation at random; 1.1.2 B-Blindness; 1.1.3 C-Control; 1.2 Complex interventions; 1.3 History of cluster randomised trials; 1.4 Cohort and field trials; 1.5 The field/community trial; 1.5.1 The REACT trial; 1.5.2 The Informed Choice leaflets trial; 1.5.3 The Mwanza trial; 1.5.4 The paramedics practitioner trial; 1.6 The cohort trial; 1.6.1 The PoNDER trial; 1.6.2 The DESMOND trial; 1.6.3 The Diabetes Care from Diagnosis trial; 1.6.4 The REPOSE trial
1.6.5 Other examples of cohort cluster trials 1.7 Field versus cohort designs; 1.8 Reasons for cluster trials; 1.9 Between- and within-cluster variation; 1.10 Random-effects models for continuous outcomes; 1.10.1 The model; 1.10.2 The intracluster correlation coefficient; 1.10.3 Estimating the intracluster correlation (ICC) coefficient; 1.10.4 Link between the Pearson correlation coefficient and the intraclass correlation coefficient; 1.11 Random-effects models for binary outcomes; 1.11.1 The model; 1.11.2 The ICC for binary data; 1.11.3 The coefficient of variation 1.11.4 Relationship between cvc and ρ for binary data 1.12 The design effect; 1.13 Commonly asked questions; 1.14 Websources; Exercise; Appendix 1.A; Chapter 2 Design issues; 2.1 Introduction; 2.2 Issues for a simple intervention; 2.2.1 Phases of a trial; 2.2.1.1 Preclinical; 2.2.1.2 Sequence of phases; 2.2.2 'Pragmatic' and 'explanatory' trials; 2.2.3 Intention-to-treat and per-protocol analyses; 2.2.4 Non-inferiority and equivalence trials; 2.3 Complex interventions; 2.3.1 Design of complex interventions; 2.3.1.1 Theory (preclinical); 2.3.2 Phase I modelling/qualitative designs 2.3.3 Pilot or feasibility studies 2.3.4 Example of pilot/feasibility studies in cluster trials; 2.4 Recruitment bias; 2.5 Matched-pair trials; 2.5.1 Design of matched-pair studies; 2.5.2 Limitations of matched-pairs designs; 2.5.3 Example of matched-pair design: The Family Heart Study; 2.6 Other types of designs; 2.6.1 Cluster factorial designs; 2.6.2 Example cluster factorial trial; 2.6.3 Cluster crossover trials; 2.6.4 Example of a cluster crossover trial; 2.6.5 Stepped wedge; 2.6.6 Pseudorandomised trials; 2.7 Other design issues; 2.8 Strategies for improving precision; 2.9 Randomisation 2.9.1 Reasons for randomisation 2.9.2 Simple randomisation; 2.9.3 Stratified randomisation; 2.9.4 Restricted randomisation; 2.9.5 Minimisation; Exercise; Appendix 2.A; Chapter 3 Sample size: How many subjects/clusters do I need for my cluster randomised controlled trial?; 3.1 Introduction; 3.1.1 Justification of the requirement for a sample size; 3.1.2 Significance tests, P-values and power; 3.1.3 Sample size and cluster trials; 3.2 Sample size for continuous data-comparing two means; 3.2.1 Basic formulae; 3.2.2 The design effect (DE) in cluster RCTs; 3.2.3 Example from general practice 3.3 Sample size for binary data-comparing two proportions |
| Record Nr. | UNINA-9910139141103321 |
Campbell Michael J. <1950->
|
||
| Chichester, England : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to design, analyse and report cluster randomised trials in medicine and health related research / / Michael J. Campbell and Stephen J. Walters
| How to design, analyse and report cluster randomised trials in medicine and health related research / / Michael J. Campbell and Stephen J. Walters |
| Autore | Campbell Michael J. <1950-> |
| Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (268 p.) |
| Disciplina | 610.72/4 |
| Collana | Statistics in Practice |
| Soggetto topico |
Randomized Controlled Trials as Topic
Data Interpretation, Statistical Health Services Research - method Research Design |
| ISBN |
1-118-76360-2
1-118-76345-9 1-118-76359-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; Acronyms and abbreviations; Chapter 1 Introduction; 1.1 Randomised controlled trials; 1.1.1 A-Allocation at random; 1.1.2 B-Blindness; 1.1.3 C-Control; 1.2 Complex interventions; 1.3 History of cluster randomised trials; 1.4 Cohort and field trials; 1.5 The field/community trial; 1.5.1 The REACT trial; 1.5.2 The Informed Choice leaflets trial; 1.5.3 The Mwanza trial; 1.5.4 The paramedics practitioner trial; 1.6 The cohort trial; 1.6.1 The PoNDER trial; 1.6.2 The DESMOND trial; 1.6.3 The Diabetes Care from Diagnosis trial; 1.6.4 The REPOSE trial
1.6.5 Other examples of cohort cluster trials 1.7 Field versus cohort designs; 1.8 Reasons for cluster trials; 1.9 Between- and within-cluster variation; 1.10 Random-effects models for continuous outcomes; 1.10.1 The model; 1.10.2 The intracluster correlation coefficient; 1.10.3 Estimating the intracluster correlation (ICC) coefficient; 1.10.4 Link between the Pearson correlation coefficient and the intraclass correlation coefficient; 1.11 Random-effects models for binary outcomes; 1.11.1 The model; 1.11.2 The ICC for binary data; 1.11.3 The coefficient of variation 1.11.4 Relationship between cvc and ρ for binary data 1.12 The design effect; 1.13 Commonly asked questions; 1.14 Websources; Exercise; Appendix 1.A; Chapter 2 Design issues; 2.1 Introduction; 2.2 Issues for a simple intervention; 2.2.1 Phases of a trial; 2.2.1.1 Preclinical; 2.2.1.2 Sequence of phases; 2.2.2 'Pragmatic' and 'explanatory' trials; 2.2.3 Intention-to-treat and per-protocol analyses; 2.2.4 Non-inferiority and equivalence trials; 2.3 Complex interventions; 2.3.1 Design of complex interventions; 2.3.1.1 Theory (preclinical); 2.3.2 Phase I modelling/qualitative designs 2.3.3 Pilot or feasibility studies 2.3.4 Example of pilot/feasibility studies in cluster trials; 2.4 Recruitment bias; 2.5 Matched-pair trials; 2.5.1 Design of matched-pair studies; 2.5.2 Limitations of matched-pairs designs; 2.5.3 Example of matched-pair design: The Family Heart Study; 2.6 Other types of designs; 2.6.1 Cluster factorial designs; 2.6.2 Example cluster factorial trial; 2.6.3 Cluster crossover trials; 2.6.4 Example of a cluster crossover trial; 2.6.5 Stepped wedge; 2.6.6 Pseudorandomised trials; 2.7 Other design issues; 2.8 Strategies for improving precision; 2.9 Randomisation 2.9.1 Reasons for randomisation 2.9.2 Simple randomisation; 2.9.3 Stratified randomisation; 2.9.4 Restricted randomisation; 2.9.5 Minimisation; Exercise; Appendix 2.A; Chapter 3 Sample size: How many subjects/clusters do I need for my cluster randomised controlled trial?; 3.1 Introduction; 3.1.1 Justification of the requirement for a sample size; 3.1.2 Significance tests, P-values and power; 3.1.3 Sample size and cluster trials; 3.2 Sample size for continuous data-comparing two means; 3.2.1 Basic formulae; 3.2.2 The design effect (DE) in cluster RCTs; 3.2.3 Example from general practice 3.3 Sample size for binary data-comparing two proportions |
| Record Nr. | UNINA-9910828428003321 |
|
Campbell Michael J. <1950->
|
||
| Chichester, England : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to display data [[electronic resource] /] / Jenny V. Freeman, Stephen J. Walters, Michael J. Campbell
| How to display data [[electronic resource] /] / Jenny V. Freeman, Stephen J. Walters, Michael J. Campbell |
| Autore | Freeman Jenny V (Jenny Vanessa) |
| Pubbl/distr/stampa | Malden, Mass, : BMJ Books, 2008 |
| Descrizione fisica | 1 online resource (117 p.) |
| Disciplina | 610.72/7 |
| Altri autori (Persone) |
WaltersStephen John
CampbellMichael J., PhD. |
| Soggetto topico |
Medical writing
Medical statistics Medicine - Research - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-4443-5970-3
1-282-11808-0 9786612118081 1-4443-1255-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to data display -- How to display data badly -- Displaying univariate categorical data -- Displaying quantitative data -- Displaying the relationship between two continuous variables -- Data in tables -- Reporting study results -- Time series plots and survival curves -- Displaying results in presentations. |
| Record Nr. | UNINA-9910454996903321 |
|
Freeman Jenny V (Jenny Vanessa)
|
||
| Malden, Mass, : BMJ Books, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to display data [[electronic resource] /] / Jenny V. Freeman, Stephen J. Walters, Michael J. Campbell
| How to display data [[electronic resource] /] / Jenny V. Freeman, Stephen J. Walters, Michael J. Campbell |
| Autore | Freeman Jenny V (Jenny Vanessa) |
| Pubbl/distr/stampa | Malden, Mass, : BMJ Books, 2008 |
| Descrizione fisica | 1 online resource (117 p.) |
| Disciplina | 610.72/7 |
| Altri autori (Persone) |
WaltersStephen John
CampbellMichael J., PhD. |
| Soggetto topico |
Medical writing
Medical statistics Medicine - Research - Statistical methods |
| ISBN |
1-4443-5970-3
1-282-11808-0 9786612118081 1-4443-1255-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to data display -- How to display data badly -- Displaying univariate categorical data -- Displaying quantitative data -- Displaying the relationship between two continuous variables -- Data in tables -- Reporting study results -- Time series plots and survival curves -- Displaying results in presentations. |
| Record Nr. | UNINA-9910777965303321 |
|
Freeman Jenny V (Jenny Vanessa)
|
||
| Malden, Mass, : BMJ Books, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to display data / / Jenny V. Freeman, Stephen J. Walters, Michael J. Campbell
| How to display data / / Jenny V. Freeman, Stephen J. Walters, Michael J. Campbell |
| Autore | Freeman Jenny V (Jenny Vanessa) |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Malden, Mass, : BMJ Books, 2008 |
| Descrizione fisica | 1 online resource (117 p.) |
| Disciplina | 610.72/7 |
| Altri autori (Persone) |
WaltersStephen John
CampbellMichael J., PhD. |
| Soggetto topico |
Medical writing
Medical statistics Medicine - Research - Statistical methods |
| ISBN |
1-4443-5970-3
1-282-11808-0 9786612118081 1-4443-1255-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to data display -- How to display data badly -- Displaying univariate categorical data -- Displaying quantitative data -- Displaying the relationship between two continuous variables -- Data in tables -- Reporting study results -- Time series plots and survival curves -- Displaying results in presentations. |
| Record Nr. | UNINA-9910811960603321 |
|
Freeman Jenny V (Jenny Vanessa)
|
||
| Malden, Mass, : BMJ Books, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||