SPSS for Starters
Published on 28. September 2014
Book
Paperback/Softback
IX, 76 pages
978-94-007-9879-3 (ISBN)
Description
This small book addresses different kinds of datafiles, as commonly encountered in clinical research, and their data-analysis on SPSS Software. Some 15 years ago serious statistical analyses were conducted by specialist statisticians using ma- frame computers. Nowadays, there is ready access to statistical computing using personal computers or laptops, and this practice has changed boundaries between basic statistical methods that can be conveniently carried out on a pocket calculator and more advanced statistical methods that can only be executed on a computer. Clinical researchers currently perform basic statistics without professional help from a statistician, including t-tests and chi-square tests. With help of user-friendly software the step from such basic tests to more complex tests has become smaller, and more easy to take. It is our experience as masters' and doctorate class teachers of the European College of Pharmaceutical Medicine (EC Socrates Project Lyon France) that s- dents are eager to master adequate command of statistical software for that purpose. However, doing so, albeit easy, still takes 20-50 steps from logging in to the final result, and all of these steps have to be learned in order for the procedures to be successful.
More details
Edition
2010 ed.
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Illustrations
IX, 76 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 6 mm
Weight
149 gr
ISBN-13
978-94-007-9879-3 (9789400798793)
DOI
10.1007/978-90-481-9519-0
Schweitzer Classification
Other editions
Additional editions
Ton J. Cleophas | Aeilko H. Zwinderman
SPSS for Starters
E-Book
09/2010
1st Edition
Springer
€96.29
Available for download
Ton J. Cleophas | Aeilko H. Zwinderman
SPSS for Starters
Book
08/2010
Springer
€58.84
Article exhausted; check for reprint
Persons
Ton J Cleophas is internist-clinical pharmacologist at the Department of Medicine Albert Schweitzer Hospital Dordrecht the Netherlands. He is also professor of Statistics and member of the Scientific Committee of the European College of Pharmaceutical Medicine Lyon France. He is particularly interested in machine learning methodologies and published many complete-overview-textbooks of the subject.
Aeilko H Zwinderman is professor of Statistics and Chair of the Department of Biostatistics and Epidemiology at the University of Amsterdam the Netherlands. His current work focuses on development and validation of multivariable models, particularly in genetic research, and he is a major developer of penalized canonical analysis.
Content
One-Sample Continuous and Binary Data (t-Test, z-Test) (10 and 55 Patients).- Paired Continuous Data (Paired-t, Wilcoxon) (10 Patients).- Unpaired Continuous Data (Unpaired t-Tests, Mann-Whitney) (20 Patients).- Linear Regression (20 Patients).- Repeated Measures ANOVA, Friedman (10 Patients).- Mixed Models (20 Patients).- One-Way-ANOVA, Kruskall-Wallis (30 Patients).- Trend Test for Continuous Data (30 Patients).- Unpaired Binary Data (Chi-Square, Crosstabs) (55 Patients).- Logistic Regression (55 Patients).- Trend Tests for Binary Data (106 Patients).- Paired Binary (McNemar Test) (139 General Practitioners).- Multiple Paired Binary Data (Cochran's Q Test) (139 Patients).- Cox Regression (60 Patients).- Cox Regression with Time-dependent Variables (60 Patients).- Validating Qualitative Diagnostic Tests (575 Patients).- Validating Quantitative Diagnostic Tests (17 Patients).- Reliability Assessment of Qualitative Diagnostic Tests (17 Patients).- Reliability Assessment of QuantitativeDiagnostic Tests (17 Patients).- Final Remarks.