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

Documentation