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Applied Statistical Considerations for Clinical Researchers [electronic resource]
Culliford, David
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| 자료유형 | 단행본 |
|---|---|
| 개인저자 | Culliford, David.,author. |
| 단체저자명 | SpringerLink (Online service). |
| 서명/저자사항 | Applied Statistical Considerations for Clinical Researchers [electronic resource] / by David Culliford. |
| 판사항 | 1st ed. 2022. |
| 형태사항 | XVII, 241 p. 7 illus., 2 illus. in color:online resource. |
| 기본자료 저록 | Springer Nature eBook |
| 기타형태 저록 | Printed edition:9783030874094Printed edition:9783030874117 |
| ISBN | 9783030874100 |
| 기타표준부호 | 10.1007/978-3-030-87410-0 |
| 내용주기 | Introduction -- Preliminaries -- Design -- Planning -- Data Acquisition -- Data Manipulation Analysis -- Inferencesty -- Dissemination -- A Case Study -- Conclusions. |
| 요약 | 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. |
| 일반주제명 | Medical informatics. Biometry. Bioinformatics. Medicine—Research. Biology—Research. Health Informatics. Biostatistics. Bioinformatics. Health Informatics. Biomedical Research. |
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