Description
Addressed to:
Doctors, Nurses, Physicians, Kinesiologists
Content
Topic I. Biostatistics applied to health sciences (23.9 Hours)
Introduction to statistics applied to health sciences
Definition of statistics
Population and sample
Sample size calculation
Sampling procedure
Variables
Orderly presentation of data
Graphical representations
Summary
Self-assessment
Topic II. Descriptive Statistics (15.2 Hours)
Introduction
Central tendency statistics
Position statistics
Dispersion statistics
Shape measurements
Summary
Self-assessment
Topic III. Bivariate Statistics (17.4 Hours)
Introduction
Contingency tables
Scatter diagram
Covariance
Regression
Goodness of fit
Summary
Self-assessment
Topic IV. Clinical Indices (21.7 Hours)
Introduction
Statisticians, precision and accuracy
Clinical issues
Data collection, variability and compilation in clinical research
Cohort, case-control studies
Randomised Controlled Trials (RCTs)
Classification of diseases by diagnosis
Clinical indices
Summary
Self-assessment
Topic V. Introduction to probability theory (23.9 Hours)
Introduction
Notions and models of probability
Conditional probability
Event dependency
Total probability theory
Bayes Theorem
Application of probability theory to diagnostic testing
Solved exercises
Summary
Self-assessment
Topic VI. Probabilistic models (19.6 Hours)
Introduction
Random variable distributions
Probability function
Density and distribution function
Mathematical expectation. Variance and standard deviation
Discrete distributions
Central Limit Theorem
Summary
Self-assessment
Topic VII. Statistical Inference (28.3 Hours)
Introduction
Estimate
Statistical inference methods
Hypothesis
Critical region
Confidence interval
Significance
Theory of error in hypothesis testing
Hypothesis testing for small samples
Student's t model
The chi-square model (?2)
Summary
Self-assessment
Topic VIII. SPSS Internship (34.8 Hours)
Programme recognition
Practice 1. Entering data into SPSS
Practice 2. Frequency tables in SPSS
Practical 3. Descriptive statistics with SPSS
DiagnosisPractice 4. Graphics in SPSS
Practice 5. Simple linear regression with SPSS
Practice 6. Contingency tables with SPSS
Practice 7. Contingency table of quantitative variables in intervals.
Practice 8. Chi-square X2 with SPSS
Practice 9. t-test for related samples
Practice 10. t-test for independent samples
Practice 11. ANOVA
Practice 12. Non-parametric contrast for related samples
Practice 13. Non-parametrised contrast for independent samples
Summary
Self-assessment
Topic IX. Exercises with R GUI (34.8 Hours)
Descriptive statistics
Graphs for data grouped in intervals
Measures of position and dispersion
Calculation of probabilities
Binomial distribution
Poisson, geometric and hypergeometric distribution
Continuous one-dimensional models
One-dimensional models associated with the normal
Estimation, intervals and one- and two-sample t-tests
Test for the mean of a normal population
Analysis of variance
Tests ?2
Summary
Self-assessment
Appendix: Table of Statistics (26.1 Hours)
Table 1: Normal distribution
Table 2: Student's t-distribution
Table 3: Distribution ?2
Table 4: Fisher's F distribution
Table 5: Binomial probabilities
Table 6: Poisson probabilities
Table 7: Table of random numbers
Table 8: Obesity database
Table 9: Calcium
Table 10: Reading
Table 11: Osteoporosis
Table 12: Seeds
Additional information
Country | Chile |
---|---|
Duration | 250 hrs |
Certification | AST - ALCALA |
Ranking | Health Management and Studies |