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Biostatistics for All Doctorate Degrees

Lecture #1

     1.     Introductory Concepts

     2.     Definitions & Sampling

Lecture #2

1. Types of Variable and Scales of Measurement

Lecture #3

     1. Descriptive Statistics

Lecture #4

   1. Displaying the data

Lecture #5

  1. Probability

Lecture #6

   1. Normal Distribution
   2. Sampling distribution

Lecture #7

   1. Revision
   2. Probability definitions
   3. Normal distribution
   4. Sampling distribution

Lecture #8

 Sampling distribution
 Confidence intervals
 Hypothesis testing

Lecture #9

  Comparisons between two means:
  1.Research questions about two separate or independent groups
  2.Research questions about two dependent or correlated groups

Lecture #10

  1.Chisquare : Comparisons Between Proportions or Percentages
  2.Research Questions about Two or More Separate or Independent groups 
  3.Research Questions about Two Dependent or Correlated Groups

Lecture #11

  1. Correlation
  2. Coefficient of Determination
  3. Regression
  4. One-Way Analysis of Variance (ANOVA)

Lecture #12

  1. Kaplan and Meier Procedure
  2. Comparisons of Survival Curve, Log Rank Test
  3. Cox Proportional Hazard Model