Скачать или смотреть Free complete Biostatistics Course: Introducing the Course Outline

What we will cover:
1. Foundations of Biostatistics
1.1 Overview of Statistics and Biostatistics
1.2 Importance and Limitations of Statistics in Health Sciences
1.3 Types of Data and Variables (grouped, ungrouped, data series individual, discrete and continuous
1.4 Scales of Measurement
1.5 Sources of data
2. Data Collection and Management
2.1 Methods of Data Collection
2.2 Choosing Appropriate Data Collection Techniques
2.3 Designing Questionnaires
2.4 Types of Questions
2.5 Steps in Questionnaire Design
3. Data Organization and Presentation
3.1 Methods of Organizing Data (Tabulation, Coding)
3.2 Graphical Data Presentation (Bar Charts, Histograms, Frequency Polygons, Cumulative Frequency Curves)
3.3 Principles of Effective Data Presentation
4. Descriptive Statistics
4.1 Measures of Central Tendency (Mean, Median, Mode)
4.2 Measures of Variation (Range, Variance, Standard Deviation, Coefficient of Variation)
4.3 Interpretation and Application in Health Data
5. Demographic and Health Service Statistics
5.1 Sources of Demographic Data
5.2 Demographic Transition and Its Stages
5.3 Vital Statistics: Fertility, Mortality, Morbidity Rates
5.4 Population Growth and Projections
5.5 Health Service Statistics and Indices
6. Probability Concepts in Health Sciences
6.1 Basic Probability Concepts (Events, Sample Space)
6.2 Mutually Exclusive and Independent Events
6.3 Additive and Multiplicative Laws of Probability
6.4 Conditional Probability
6.5 Random Variables and Probability Distributions
7. Sampling Methods and Study Design
7.1 Key Sampling Terminology
7.2 Types of Sampling Methods (Random, Stratified, Cluster, Systematic, Convenience)
7.3 Sampling Errors and Bias
7.4 Principles of Sample Size Estimation
8. Statistical Inference: Estimation
8.1 Point and Interval Estimation
8.2 Sampling Distribution of Means and Proportions
8.3 Confidence Intervals (Interpretation and Calculation)
8.4 Determining Appropriate Sample Size
9. Statistical Inference: Hypothesis Testing
9.1 Null and Alternative Hypotheses
9.2 Levels of Significance and p-values
9.3 Tests of Significance for Means and Proportions (Large and Small Samples)
9.4 One-Tailed vs. Two-Tailed Tests
9.5 Confidence Intervals vs. p-values
9.6 Chi-square and Fisher’s Exact Tests
10. Correlation and Regression Analysis
10.1 Correlation Analysis (Pearson, Spearman)
10.2 Simple Linear Regression (Interpretation, Assumptions, Applications)
10.3 Application to Health Sciences Data
11. Statistical Tables and Reference Materials
11.1 Use of Statistical Tables (Normal, t, Chi-square Distributions)