About Course

Link to the book: https://leanpub.com/Applied_Medical_Statistics

Course Content

Section I

01-Introduction

41:15
02- Types of Data variables

30:23
03-Data entery

39:42
04-Descriptive statistics (A)

56:42
05- Descriptive statistics (B)

35:15
06-Descriptive statistics (C)

21:46
07- Graphical presentation of data (part A)

28:29
9- Graphical presentation of data (part B, application)

01:02:10
10- Hypothesis testing (null and alternative hypotheses)

34:09
11- Type I and type II errors

32:04
12- P-value

47:48
13- Confidence Interval

01:08:09
14- Incidence and Prevalence

32:55

Section II

Section III

Section IV

24- Parametric and Non-parametric tests

07:44
25- Independent t test (Student t test)

01:01:18
26-Mann-Whitney test

23:02
27- Paired t test

24:29
28- Wilcoxon Signed Rank test

17:24
29- One-way ANOVA

39:41
30- Kruskal-Wallis test

20:40
31- Repeated measures ANOVA

34:26
32- Friedman test

15:48
33- Two-way ANOVA

36:59

Section V

Section VI

Section VII

Extra lessons

Student Ratings & Reviews

5.0

Total 2 Ratings

2 Ratings

0 Rating

Irza Raheem

2 weeks ago

"An excellent course that simplifies complex statistical concepts. It is highly beneficial for pharmacy students to understand clinical research data."

Mohamed Ali Agwa

3 months ago

Very informative course thanks Dr. Elsherief

About Course

Link to the book: https://leanpub.com/Applied_Medical_Statistics

Course Content

Section I

01-Introduction

02- Types of Data variables

03-Data entery

04-Descriptive statistics (A)

05- Descriptive statistics (B)

06-Descriptive statistics (C)

07- Graphical presentation of data (part A)

9- Graphical presentation of data (part B, application)

10- Hypothesis testing (null and alternative hypotheses)

11- Type I and type II errors

12- P-value

13- Confidence Interval

14- Incidence and Prevalence

Section II

15- Observational and interventional studies

16- Cross-sectional studies

17- Case-control Studies

18- Cohort Studies

19-Randomized Controlled Trials (RCTs), Part A

20- RCTs, Part B : (Blinding and Randomization)

21- How to do Randomization in RTCs

22- RCTs part C: Design and analysis

Section III

23- Choosing the suitable statistical test

Section IV

24- Parametric and Non-parametric tests

25- Independent t test (Student t test)

26-Mann-Whitney test

27- Paired t test

28- Wilcoxon Signed Rank test

29- One-way ANOVA

30- Kruskal-Wallis test

31- Repeated measures ANOVA

32- Friedman test

33- Two-way ANOVA

Section V

34- Relative Risk and Odds Ratio

35- Chi Square test and Fisher’s Exact test

36- McNemar test

Section VI

37- Correlation

38- What is regression & Types of regression

40- Multiple linear regression

41- Model Building in Regression

42- Checking Assumptions of Linear Regression

43- Simple Logistic Regression

44- Multiple Logistic Regression

Section VII

45- Diagnostic tests (Sensitivity, Specificity, PPV, NPV)

46- ROC curve

47- Logistic regression as a dignostic (prediction) tool and developing Nomogram

Extra lessons

Bland-Altman plot

Kappa Agreement

Survival Analysis and Cox Regression

Questionnaire: Design , Validity , Reliability, Aanalysis

Sample size calculation for clinical trials and observational studies

Meta-analysis

Student Ratings & Reviews

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