SPSS Online Course for Medical Professionals - SPSS Basics

Statistics play a crucial role in medical research. Whether you are planning a clinical study or looking to analyze data, SPSS is a must have statistical data analysis software. For medical professionals who are new to SPSS, "Statistical Consulting and Data Analysis Leonardo Miljko" offers an online course that will teach you the basic functions of SPSS.

In the online course you will learn how to create a database, encrypt data and use the SPSS user interface. You will learn how to import data, create and label variables, and transcode and merge data. You will also learn descriptive statistics such as mean values, standard deviations, medians, minimum, maximum and frequency distributions, as well as graphical representations such as bar charts, pie charts, box plots, error bars and scatter charts.

The most important distribution tests such as the K-S test and Shapiro-Wilk test for normal distribution and the Levene test for homogeneity of variance are also explained to you. You will learn how to perform significance tests such as the chi-square test, the paired and unpaired t-test, the Mann-Whitney U test, the Kruskal-Wallis test, analyzes of variance with and without repeated measures, and the Wilcoxon test and the Friedman test. Furthermore, you will be trained in correlation analyzes (metric: Pearson and ordinal: Spearman), survival time analyzes with Kaplan-Meier curves and log-rank tests as well as superordinate study types such as intervention studies and t-test case number planning.

A particular highlight of the course is correlation sample size planning, which will help you determine the required sample size for your study. The online course is suitable for both beginners and advanced users and is led by experienced biostatisticians.

"Statistical Consulting and Data Analysis Leonardo Miljko" thus offers you a comprehensive online course to learn the basics of SPSS and to make your medical research projects successful.

keywords:

SPSS, online course, physicians, statistics, data analysis, statistical advice, Leonardo Miljko, basics, databases, data encoding, user interface, importing data, creating variables, labeling, recoding, merging, descriptive statistics, graphs, distribution tests, significance tests, correlation analyses , survival time analyses, superordinate study types, intervention studies, case number planning, sample size

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