Study Design and Statistical Analysis : A Practical Guide for Clinicians


Mitchell. Katz
Bok Engelsk 2006 · Electronic books.
Annen tittel
Utgitt
Cambridge : : Cambridge University Press, , 2006.
Omfang
1 online resource (202 p.)
Opplysninger
Description based upon print version of record.. - Cover; Title Page; Copyright; Contents; Preface; 1. Introduction; 1.1 Why is statistical analysis so important for clinical research?; 2. Designing a study; 2.1 How do I choose a research question?; 2.2 How do I choose a study design?; 2.3 What are the differences between randomized and observational studies?; 2.4 What are the different types of randomized controlled trials?; 2.5 What are the different methods of allocating subjects within a randomized design?; 2.6 What are the different types of observational studies?; 2.7 Do I need to specify a particular hypothesis for my study?. - 2.8 Can I specify an alternative hypothesis with a specific direction?2.9 Can my study have more than one question?; 2.10 What kind of measures should I use?; 2.11 How many subjects will I need for my study?; 2.12 How do I obtain an institutional review board approval to perform a research study?; 3. Data management; 3.1 How do I manage my data?; 3.2 What procedures should I follow in collecting data?; 3.3 How do I create data collection instruments?; 3.4 How do I enter my data?; 3.5 How do I clean my data?; 3.6 How do I recode a variable?; 3.7 How do I transform a variable?. - 3.8 When will I need to derive variables?3.9 When should I export my data to a statistical program?; 4. Univariate statistics; 4.1 How should I describe my data?; 4.2 How should I describe my interval and ordinal variables?; 4.3 How should I describe my dichotomous variables?; 4.4 How should I describe my nominal variables?; 4.5 How should I describe ordinal variables?; 4.6 How should I describe events that occur over time?; 5. Bivariate statistics; 5.1 How do I assess an association between two variables?. - 5.2 How do I assess an association between two dichotomous variables (comparison of proportions)?5.3 How do I test an association between a nominal variable and a dichotomous variable or between two nominal variables?; 5.4 How do I test an association involving an interval variable? (When do I use parametric statistics versus non-parametric statistics?); 5.5 How do I test an association of a dichotomous variable with aninterval variable?; 5.6 How do I test an association of a nominal variable with an interval variable?. - 5.7 How do I test an association between two interval variables? (How do I determine if an association is linear?)5.8 How do I test an association of two variables when one or both of the variables are ordinal?; 5.9 How do I compare outcomes that occur over time?; 5.10 How do I analyse repeated observations of the same subject?; 5.11 How do I test bivariate associations with matched data?; 6. Multivariable statistics; 6.1 What is multivariable analysis? Why is it necessary?; 6.2 How do I choose what type of multivariable analysis to use?. - 6.3 What should I do if my outcome variable is ordinal or nominal?. - A nuts-and-bolts guide to research by asking and answering the most basic questions about doing research studies.
Emner
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Biomedical Research
Biometry
Data Interpretation, Statistical
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Dewey
ISBN
0521534070. - 0521826756. - 9780521534079. - 9780521826754

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Study design and statistical analysis : a practical guide for clinicians
Mitchell H. Katz

Bok · Engelsk · 2006

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