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30-Day Money-Back Guarantee

This course includes:

  • 4 hours on-demand video
  • 14 articles
  • 27 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Teaching & Academics Science SPSS

Applied Statistics for Healthcare Research with SPSS

Friendly Biostatistics for Health Sciences: Master, PhD Students and Professionals. With practical examples in SPSS
Rating: 3.9 out of 53.9 (21 ratings)
135 students
Created by Qvision Academy, Manuel Rodríguez Vallejo
Last updated 8/2019
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Best ways for summarizing the data depending on variable types
  • Theoretical background in Estimation of Population Parameters from Sample Statistics
  • The Central Limit Theorem and Parametric Statistics
  • Hypothesis Contrast, Error Types, Sample Size, Effect Sizes
  • Practical Statistical test Selection depending on required Assumptions
  • Non-parametric tests for the more common research questions

Requirements

  • You need to use SPSS if you want to follow exactly the practical examples of the course

Description

During my beginnings in research, especially during my Masters and PhD studies, I had to work with hundreds of references, books and software in order to learn to apply the appropriate statistical tests for my research. I studied statistics at the University with a lot of formulas difficult to understand and  to apply in a practical way. Although knowing the formulas is a good thing that allows you to have a greater capacity in its interpretation, this means a large investment of time that many students or professionals do not have.

If you are starting a research work related to health sciences and you find in statistics a difficult obstacle to jump, this is your course, which I have developed in an eminently practical way based on 3 main points.

  • SELECTION. Learning to choose the appropriate statistical test for each research question.

  • CONDUCTION. Following the necessary steps to carry out the test through SPSS

  • INTERPRETATION. Understanding the significance of the results, not only from a mathematical point of view but clinical.

  • WRITING. Reporting the results for scientific publications

The course will also serve as a reference guide to which you can access when you need to carry out a particular statistical test and do not remember the necessary steps to do so.

Who is this course for?

Students or professionals who develop research in Health Sciences: Medicine, Psychology, Speech Therapy, Obstetrics, Optometry, Physiotherapy, Nursing, Podiatry, Nutrition Sciences, Pharmacy, Clinical Laboratory, Veterinary, etc.

What this course will cover?

This course is an introduction of Descriptive and Inferential statistics and the statistical tests covered are the most common in scientific research.

PLEASE REVIEW THE ACCENT AND SUBTITLES FROM THE PREVIEWS BEFORE TO ENROLL IN THE COURSE IN ORDER TO CONFIRM THAT YOU CAN UNDERSTAND MY ENGLISH AS I AM NOT NATIVE ENGLISH SPEAKER

Who this course is for:

  • Master and PhD students who have to develop a research work
  • Healthcare professionals involved in clinical research

Course content

13 sections • 112 lectures • 3h 56m total length

  • 0.0.- IMPORTANT FOR NEW STUDENTS
    00:18
  • Preview00:54
  • 1.1.- From Descriptive to Inferential Statistics
    01:16
  • 1.2.- Introduction to outcome and explanatory variables
    01:20
  • 1.3.- Commonly words used to make reference to Outcome and Exposure variables
    01:12
  • 1.4.- Classification of variables. Qualitative and Quantitative.
    00:43
  • 1.5.- Not all the variables can be classified according to their nature
    01:09
  • 1.6.- Exercise for Variable Classification
    3 questions
  • 1.7.- Statistical Tests and Statistical Package for the Practical Lessons
    01:27
  • Preview06:44
  • 1.9.- (SPSS) Import an Excel File with Data to SPSS
    04:43
  • 1.10.- (SPSS) Calculating a new variable from current variables
    01:56
  • 1.11.- (SPSS) Transforming from continuous to categorical variables
    03:54

  • Preview00:39
  • Preview01:49
  • 2.2.- Introduction to Graphs for summarizing your data
    00:48
  • 2.3.- Summarizing Categorical Variables through Frequencies
    01:49
  • 2.4.- (SPSS) Calculating Frequencies and Cumulative Frequencies
    02:59
  • 2.5.- Plots for representing Frequencies with Categorical Variables
    01:17
  • 2.6.- (SPSS) Displaying Frecuency in a Bar Chart with Single Variable
    05:21
  • 2.7.- (SPSS) Displaying Cumulative Frecuency in a Bar Chart with Single Variabl
    03:35
  • 2.8.- (SPSS) Displaying Frequencies with Pie Charts
    01:33
  • Preview03:11
  • 2.10.- Histograms and Bar Charts. Where is the big difference?
    01:39
  • 2.11.- (SPSS) Transforming Continuous Variables to Categorical Variables
    04:06
  • 2.12.- How should I to define the cut-off points for transform in ranges?
    01:16
  • 2.13.- Displaying association between qualitative variables: Contingenty Tables
    00:54
  • 2.14.- Important considerations for Displaying Associations
    00:27
  • 2.15.- (SPSS) Cross-Tabulation tables for summarizing associations
    02:12

  • Preview00:35
  • 3.1.-Histograms for representing Frequency Distributions of Continuous Variables
    01:48
  • 3.2.- (SPSS) Representing the Frequency Distribution in a Histogram
    01:47
  • 3.3.- Introduction to Centrality and Variation Indices
    00:38
  • 3.4.- Statistical Indices of Centrality
    01:01
  • 3.5.- Statistical Indices of Variation
    02:12
  • Preview03:18
  • 3.7.- (SPSS) Caution after using the Split File Option
    01:14
  • 3.8.- (SPSS) Caution with missing values before to analyze your data
    03:02
  • 3.9.- Quantiles, Quartiles and Percentiles
    00:58
  • 3.10.- (SPSS) Line Chart for representing the Cumulative Frequency Distribution
    01:55
  • 3.11.- (SPSS) Calculating Quartiles, Quantiles and Percentiles
    01:39
  • 3.12.- Box and Whisker Plots for Exploring Distribution and Outliers
    02:05
  • 3.13.- (SPSS) Box and whisker plot
    01:00

  • Preview00:36
  • 4.1.- From Population to Sample through Randomization. Key Concepts
    03:46
  • 4.2.- Questions related to the previous lesson
    1 question
  • 4.3.- Distribution of the Population and Distribution of the Sample
    02:18
  • 4.4.- The Normal Distribution
    01:12
  • 4.5.- Skewness and Kurtosis of a distribution
    01:41
  • Preview02:10
  • 4.7.- Standard Deviation versus Standard Error. What is the difference?
    01:10
  • 4.8.- What does the 95% of Confidence Intervals really means?
    01:45
  • 4.9.- How do we calculate the SE without knowing the SD of the Population?
    01:26
  • 4.10.- The use of the t distribution with Small Samples
    00:51
  • 4.11.- The Test Statistic
    01:05
  • 4.12.- Variables, distributions and practical aims of the course
    01:06
  • 4.13.- References
    00:05

  • Preview01:15
  • 5.1.- The Alternative Hypothesis and the Null Hypothesis
    01:57
  • 5.2.- Explaining the p-value
    01:57
  • 5.2.- One versus two-side test
    01:17
  • Preview04:47
  • 5.5.- How many subjects do I need for my research?
    02:10
  • 5.5.- Type I and Type II Errors in Inferential Statistics
    01:54
  • 5.6.- Calculating the values for rejecting the null hypothesis
    01:44
  • 5.7.- Calculating the Statistical Power
    02:17
  • 5.8.- The problem of the p-value and the Effect Size concept
    01:54
  • 5.9.- Understanding the Power and Sample Size through an Animation
    04:02
  • 5.10.- G-Power. An Open Source software for Effect and Sample Size calculation
    04:20

  • 6.11.- Introduction to last sections
    00:54

  • 7.1.- Introduction to the Comparison of Two Means
    02:37
  • Preview03:08
  • 7.3.- (SPSS) Independent 2 Groups T-Test
    05:41
  • 7.4.- (Reporting) Independent 2 Groups T-Test
    00:24
  • 7.5.- The Mann-Whitney Non-Parametric test for 2 independent groups
    01:36
  • 7.6.- (SPSS) Independent 2 Groups Mann-whitney test
    02:59
  • 7.7.- (Reporting) Independent 2 Groups Mann-whitney test
    00:48

  • 8.1.- Student paired t-test for two related groups
    01:07
  • 8.2.- (SPSS) Paired 2 Groups T-Test
    05:03
  • 8.3.- (G-Power) Computing the Power and the probability of Type II Error
    02:33
  • 8.4.- (Reporting) Paired 2 Groups T-Test
    00:13
  • 8.5.- Wilcoxon test for two related groups
    01:00
  • 8.6.- (SPSS) Wilcoxon test for two related groups
    04:44
  • 8.7.- (Reporting) Wilcoxon test for two related groups
    00:28

  • 9.1.- Introduction to the Analysis of Variance
    02:38
  • 9.2.- Assumptions for the ANOVA
    01:01
  • 9.3.- ANOVA example with equal variances between groups
    01:57
  • 9.4.- (SPSS) Testing Assumptions for the 1-way ANOVA
    03:43
  • 9.5.- (SPSS) Conducting the 1-way ANOVA with Post-Hoc comparisons
    03:12
  • 9.6.- The problem of post-hoc test and criteria for selection
    03:17
  • Preview01:27
  • Preview01:07
  • 9.9.- The Non-Parametric Alternative: Kruskal-Wallis Test
    01:42
  • 9.10.- (SPSS) Kruskal-Wallis test
    01:43
  • 9.11.- (Reporting) Kruskal-Wallis test
    01:48
  • 9.12.- Recommended Lectures
    01:54

  • 10.1. One-way ANOVA with repeated measures
    02:39
  • 10.2.- (SPSS) One-way ANOVA with repeated measures
    06:57
  • 10.4.- The non-parametric alternative: The Friedman Test
    01:09
  • 10.5.- (SPSS) The Friedman Test
    02:29

Instructors

Qvision Academy
Proyecto Formativo
Qvision Academy
  • 4.5 Instructor Rating
  • 539 Reviews
  • 1,215 Students
  • 7 Courses

Qvision Academy es un proyecto del Departamento de I+E de Clínicas Qvision en Almería (España)

Manuel Rodríguez Vallejo
Director de I+D en Clínicas Qvision
Manuel Rodríguez Vallejo
  • 4.6 Instructor Rating
  • 593 Reviews
  • 1,326 Students
  • 11 Courses

Diplomado en Óptica y Optometría, Master en Optometría Avanzada y Ciencias de la Visión, Máster en Monitorización de Ensayos Clínicos, y Doctor por el programa de “Diseño, Fabricación y Gestión de Proyectos Industriales”, de la Universidad Politécnica de Valencia (España).

Es autor de múltiples artículos en revistas de investigación internacionales de revisión por pares, siendo sus publicaciones relacionadas principalmente con el “Diseño y Caracterización de Lentes de Contacto y Lentes Intraoculares Multifocales”, “Diseño de test de evaluación del rendimiento visual” y “Biomecánica Corneal”.

Es coautor de capítulos en libros de la Sociedad Española de Cirugía Ocular Implanto-Refractiva y de la Sociedad Española de Oftalmología y ha participado como ponente en múltiples congresos internacionales. En la actualidad ejerce profesionalmente como Director de Proyectos I+D en Clínicas Qvision y es emprendedor de test-eye donde distribuye aplicaciones de medida del rendimiento visual para iPad y Android, diseñadas y programadas por el mismo.

----------------------------------------------------------------------------------

Diploma in Optics and Optometry, Master in Advanced Optometry and Vision Sciences, Master in Clinical Trial Monitoring, and PhD by the programme in “Design build and project management of industrial processes”, at the Polytechnic University of Valencia (Spain).

Author of several peer review papers in international scientific journals about "Design and characterization of multifocal contact lenses and multifocal intraocular lenses", "design of eye tests for measuring visual performance" and "corneal biomechanics".

Co-author of book chapters from the "Sociedad Española de Cirugía Ocular Implanto-Refractiva", "Sociedad Española de Oftalmología", Jaypee Brothers Medical Publisher and he has participated as a speaker in several international congresses.
Nowadays, he is Research Manager at Qvision and owner of test-eye where distributes his applications for iPad and Android and shares his online courses from Udemy platform.

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