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Applied Statistical Considerations for Clinical Researchers
Taschenbuch von David Culliford
Sprache: Englisch

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Beschreibung
This essential book details intermediate-level statistical methods and frameworks for the clinician and medical researcher with an elementary grasp of health statistics and focuses on selecting the appropriate statistical method for many scenarios. Detailed evaluation of various methodologies familiarizes readers with the available techniques and equips them with the tools to select the best from a range of options. The inclusion of a hypothetical case study between a clinician and statistician charting the conception of the research idea through to results dissemination enables the reader to understand how to apply the concepts covered into their day-to-day clinical practice.
Applied Statistical Considerations for Clinical Researchers focuses on how clinicians can approach statistical issues when confronted with a medical research problem by considering the data structure, how this relates to their study's aims and any potential knock-on effects relating to the evidence required to make correct clinical decisions. It covers the application of intermediate-level techniques in health statistics making it an ideal resource for the clinician seeking an up-to-date resource on the topic.
This essential book details intermediate-level statistical methods and frameworks for the clinician and medical researcher with an elementary grasp of health statistics and focuses on selecting the appropriate statistical method for many scenarios. Detailed evaluation of various methodologies familiarizes readers with the available techniques and equips them with the tools to select the best from a range of options. The inclusion of a hypothetical case study between a clinician and statistician charting the conception of the research idea through to results dissemination enables the reader to understand how to apply the concepts covered into their day-to-day clinical practice.
Applied Statistical Considerations for Clinical Researchers focuses on how clinicians can approach statistical issues when confronted with a medical research problem by considering the data structure, how this relates to their study's aims and any potential knock-on effects relating to the evidence required to make correct clinical decisions. It covers the application of intermediate-level techniques in health statistics making it an ideal resource for the clinician seeking an up-to-date resource on the topic.
Über den Autor
David Culliford is a Principal Medical Statistician within the School of Health Sciences at the University of Southampton. David works as lead statistical consultant for the NIHR Applied Research Collaboration (ARC) Wessex, providing statistical consultancy services to all its researchers. His research uses large electronic health databases with a complex structure. His methodological interests include survival analysis, with a particular focus on methods which deal with missing data.
Zusammenfassung

Evaluates the range of available methodologies in health statistics

Features a hypothetical case study that brings the subject matter to life

Enables clinicians and researchers to broaden their statistical knowledge and outlook

Inhaltsverzeichnis
Introduction.- Preliminaries.- Design.- Planning.- Data Acquisition.- Data Manipulation Analysis.- Inferencesty.- Dissemination.- A Case Study.- Conclusions.
Details
Genre: Mathematik, Naturwissenschaften, Technik
Medium: Taschenbuch
Inhalt: xvii
241 S.
5 s/w Illustr.
2 farbige Illustr.
241 p. 7 illus.
2 illus. in color.
ISBN-13: 9783030874094
ISBN-10: 3030874095
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Culliford, David
Auflage: 1st edition 2022
Hersteller: Springer Nature Switzerland
Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 14 mm
Von/Mit: David Culliford
Erscheinungsdatum: 19.11.2021
Gewicht: 0,454 kg
Artikel-ID: 120465310
Über den Autor
David Culliford is a Principal Medical Statistician within the School of Health Sciences at the University of Southampton. David works as lead statistical consultant for the NIHR Applied Research Collaboration (ARC) Wessex, providing statistical consultancy services to all its researchers. His research uses large electronic health databases with a complex structure. His methodological interests include survival analysis, with a particular focus on methods which deal with missing data.
Zusammenfassung

Evaluates the range of available methodologies in health statistics

Features a hypothetical case study that brings the subject matter to life

Enables clinicians and researchers to broaden their statistical knowledge and outlook

Inhaltsverzeichnis
Introduction.- Preliminaries.- Design.- Planning.- Data Acquisition.- Data Manipulation Analysis.- Inferencesty.- Dissemination.- A Case Study.- Conclusions.
Details
Genre: Mathematik, Naturwissenschaften, Technik
Medium: Taschenbuch
Inhalt: xvii
241 S.
5 s/w Illustr.
2 farbige Illustr.
241 p. 7 illus.
2 illus. in color.
ISBN-13: 9783030874094
ISBN-10: 3030874095
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Culliford, David
Auflage: 1st edition 2022
Hersteller: Springer Nature Switzerland
Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 14 mm
Von/Mit: David Culliford
Erscheinungsdatum: 19.11.2021
Gewicht: 0,454 kg
Artikel-ID: 120465310
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