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BSA113 Biostatistics
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Course data
Overview
Module Outcomes
About Dr Ong Siew Siew
About Dr Ho Ket Li
About Dr Lwin Mie Aye
About Associate Professor Dr Chandrashekhar
About Dr Siew Wei Fern
About Dr Kioh Sheng Hui
Getting to Know You
General Discussion
General Announcements
Additional Resources
David Bowers. Medical Statistics from Scratch
Ronald NF. Biostatistics: A guide to design, analysis, and discovery
Kirkwood, Betty R.. Essential Medical Statistics (2nd Edition)
John M. Lachin. Biostatistical methods : the assessment of relative risks
Douglas CM, Elizabeth AP. Feoffrey VG. Introduction to linear regression analysis. 5th Edition. Wiley. 2012
Dr Ho Ket Li - Biostatistics Slides
Assessment
Assessment Guide 2020
MSA Mock Class Test Proctoring Guide
Biostatistics Online Class Test - 21 Oct 2020
1. Basic Concepts in Statistics
Topic 1.1: Learning Outcomes
Topic 1.1: Video Lecture: Introduction to Biostatistics
Topic 1.1: Lecture Notes: Introduction to Biostatistics (LMA) iLecture
Topic 1.1: Video: Dependent and Independent Variables (By StatLectures)
Topic 1.1: Video: Types of Statistical Data (By LegaC)
Topic 1.1: Quiz: Introduction to Biostatistics
Topic 1.1: Discussion
2. Data Presentation
Topic 2.1: Learning Outcomes
Topic 2.1: Video Lecture: Data Presentation
Topic 2.1: Lecture Notes: 2.1 Data Presentation (LMA) iLecture
Topic 2.1: Video: Ways of Presenting the Data (Mr Bdubs Maths and Physics)
Topic 2.1: Quiz: Data Presentation
Topic 2.1: Discussion
2.1 : Data Editing and Presentation (Assessment 1)
Topic 2.2: Learning Outcomes
Topic 2.2: Instructions
Topic 2.2: Exercise: Data Editing Presentation
OGIVE graph paper
Topic 2.2: Discussion
Submission 2.2
3. Measures of Central Tendency
Topic 2.3: Learning Outcomes
Topic 2.3: Video Lecture: Measures of Central Tendency
Topic 2.3: Lecture Notes: Measures of Central Tendency (LMA) iLecture
Topic 2.3: Video: Central Tendency: Mean, Median, and Mode
Topic 2.3: Quiz: Measures of Central Tendency
Topic 2.3: Discussion
4. Measures of Dispersion
Topic 2.4: Learning Outcomes
Topic 2.4: Video Lecture: Measures of Dispersion
Topic 2.4: Lecture Notes: Measures of dispersion (LMA) iLecture
Topic 2.4: Video: Range, Variance, Standard Deviation (By Khan Academy)
Topic 2.4: Video: Population and sample variance (By MathTutorDVD)
Topic 2.4: Quiz: Measures of Dispersion
Topic 2.4: Discussion
4.1 : Descriptive Statistic (Assessment 2)
Topic Forum
Topic Assignment
Topic 2.5: Learning Outcomes
Topic 2.5: Questions: Descriptive Statistics
OGIVE graph paper
Topic 2.5: Discussion
Assessment marking_2.5
5. Normal Distribution and Transformation
Topic Forum
Topic Assignment
Topic 2.6: Learning Outcomes
Topic 2.6: Video Lecture: Normal Distribution & Transformation
Topic 2.6: Lecture Notes: Normal Distribution (HSR) iLecture
Topic 2.6: Video: Normal distributions
Topic 2.6: Notes: Normal distributions notes
Topic 2.6: Quiz: Normal Distribution & Transformation
Topic 2.6: Discussion
online tutorial normal disctribution
5.1 : Normal Distribution & Transformation (Assessment 3)
Topic 2.7: Learning Outcomes
Topic 2.7: Instructions
Topic 2.7: Exercise: Normal distribution example (1)
Topic 2.7: Exercise: Normal distribution problem
Topic 2.7: Normal Distribution and transformation
Topic 2.7: Discussion
Submission 2.7
6. Sampling Distribution & Probability
Topic 2.8: Learning Outcomes
Topic 2.8: Video Lecture: Sampling Distribution & Probability
Topic 2.8: Lecture Notes: Concepts of Populations Samples (HSR) iLecture
Instructions: Exercise
ND sample POKHARA
Quiz Population and Samples
Topic 2.8: Discussion
7. Sample size determination
Topic 2.9: Learning Outcomes
Topic 2.9: Video Lecture: Sampling
Topic 2.9: Lecture Notes: Samipling Techniques (HSR) iLecture
Topic 2.9: Exercise on sampling methods
Quiz in sampling methods
Topic 2.9: Discussion
Examples of sampling methods in crossectional studies
Example simple random sample
7.1 : Sample size calculation (Assessment 4)
Topic 2.10: Learning Outcomes
Topic 2.10: Instructions
Topic 2.10: Questions: Sample Size Calculation
Topic 2.10: Discussion
Submission 2.10
8. Hypothesis Testing and Confidence Interval
Topic : Learning Outcomes
Topic : Video Lecture: Hypothesis Testing
Topic : Lecture Notes: Hypothesis Testig (HSR) iLecture
Topic : Video Lecture: Confidence Intervals
Topic : Lecture Notes: Confidence Intervals (HSR) iLecture
Topic : Video: Hypothesis testing
Topic : Notes: Hypothesis testing notes
Topic : Video: Confidence intervals
Topic : Notes: Confidence intervals notes
Topic : Quiz: Hypothesis Testing & Confidence Interval
Topic : Discussion
Chi square and T distribution table
8.1 : Confidence interval (Assessment 5)
Topic 3.2: Learning Outcomes
Topic 3.2: Instructions
Topic 3.2: Exercise: Confidence Interval
Topic 3.2: Discussion
Submission 3.2
MS Exce sheet for calculation of confidence intervals
95% and 99% Confidence Intervals
9. Describing a population (One Sample Test)
Topic 3.3: Learning Outcomes
Topic 3.3: Video Lecture: Describing a Population (One Sample Test)
Topic 3.3: Lecture Notes: Describing a Population (LMA) iLecture
Topic 3.3: Video: Chi-square test for goodness of fit
Topic 3.3: Quiz: One Sample Test
Topic 3.3: Discussion
9.1 : One sample test (Assessment 6)
Topic 3.4: Learning Outcomes
Topic 3.4: Instructions
Topic 3.4: Exercise: One Sample test
Topic 3.4: Discussion
Submission 3.4
10. Comparing differences between two populations
Topic 3.5: Learning Outcomes
Topic 3.5: Video Lecture: Comparing Differences in Means between Two or More Populations
Topic 3.5: Lecture Notes: Comparing Differences in Means between Two Populations (LMA) iLecture
Topic 3.5: Video: Independent Sample t-test
Topic 3.5: Quiz: T-tests
Topic 3.5: Discussion
11 : Non-Parametric Test
Topic 3.6: Learning Outcomes
Topic 3.6: Lecture Slide: Non-Parametric Test
Topic 3.6: i-lecture: Non-Parametric Test
Topic 3.6: Quiz: Non-Parametric Tests
Topic 3.6: Discussion
11.1 : Comparing differences for more than two populations (Assessment 7)
Topic 3.8: Learning Outcomes
Topic 3.8: Questions: Two Sample t-test
Topic 3.8: Discussion
Submission 3.8
12 . Comparing differences for more than two populations
Topic 3.7: Learning Outcomes
Topic 3.7: Video Lecture: Comparing Differences in Proportions for Two or More Populations
Topic 3.7: Comparing Differences in Proportion for Two or More Populations (LMA) iLecture.ppt
Topic 3.7: Video: Chi-square Test of Independence
Topic 3.7: Quiz: Chi-square tests
Topic 3.7: Discussion
13. Determining relationship between variables (measured at interval level)
Topic 3.9: Learning Outcomes
Topic 3.9: Video Lecture: Determining Relationship between Variables (Measured at interval level)
Topic 3.9: Lecture Notes: Correlation & Regression (HSR) iLecture
Topic 3.9: Video: Correlation regression video 1
Topic 3.9: Video: Correlation regression video 2
Topic 3.9: Video: Correlation and regression 3
Topic 3.9: Notes: correlation and regression
Topic 3.9: Notes: Additional notes on correlation and regression
Topic 3.9: Quiz: Correlation and regression
Topic 3.9: Discussion
13.1 : Analysing relationship (Assessment 8)
Topic 3.10: Learning Outcomes
Topic 3.10: Assign_Regression model
Exercise_regression to the mean
Risk Ratio etc_ suggested reading
Topic 3.10: Discussion
Submission 8
14. Determining relationship between variables (measured at nominal level)
Topic 3.11: Learning Outcomes
Topic 3.11: Lecture Video: Determining Relationship Between Variables (Measured at Nominal Level)
Topic 3.11: Lecture Notes: Determining Relationship between Variables (Measured at nominal level) (LMA) iLecture
Topic 3.11: Video: Relative Risk and Odds Ratio (By Christine A. Rabinak)
Topic 3.11: Quiz: Odds Ratio & Relative Risk
Topic 3.11: Discussion
14.1 : Relative risk and Odds ratio (Assessment 9)
Topic 3.12: Learning Outcomes
Topic 3.12: Instructions
Topic 3.12: Exercise: Relative Risk Odds Ratio
Topic 3.12: Discussion
Submission 9
15. Multivariate analysis
Topic 3.13: Learning Outcomes
Topic 3.13: Video Lecture: Multivariate Analysis
Topic 3.13: Lecture Notes: Multivariate Analysis (HSR) iLecture
Topic 3.13: Video: Multivariate Analysis
Topic 3.13: Video: Mutiple regression video
Topic 3.13: Quiz: Multivariate Analysis
Topic 3.13: Discussion
15.1 : Multivariate analysis (Assessment 10)
Topic 3.14: Instructions
Topic 3.14: Exercise: Univariate and multivariate analyses
Topic 3.14: Discussion
Submission 10
16. Statistical Computing using SPSS
Topic 4.1: Learning Outcomes
Topic 4.1: SPSS Data Entry and Analysis MSPH
Topic 4.1: Raw Data_Sleep quality
Topic 4.1: Sample Sleep quality questionnaire
Topic 4.1: Sample Categories
Topic 4.1: Tables for SPSS outputs
Topic 4.1: Data collection template for creating and coding variables
Topic 4.1: Video Lecture_SPSS Session 1_LMA_21Oct19
Topic 4.1: Video Lecture: SPSS Session 2 part I_HSR_23Oct2019
Topic 4.1: Video Lecture: SPSS Session 2 part II_HSR_23Oct2019
Topic 4.1: Video Lecture: SPSS Session 2 part III_HSR_23Oct2019
Reading e-Book: SPSS Statistics for Dummies. By-Keith McCormick, Jesus Salcedo, and Aaron Poh
Reading: Analysing data using spss
Reading: IBM SPSS Statistics Core System User Guide
proxy indicators of birth weight SPSS hands on file for handson session
practice SPSS data
Topic 4.1: Instruction SPSS Assignment (Summative assessment)
Topic 4.1: Rubrics for Biostatistics SPSS Assignment
Topic 4.1: Depression_Dummy Questionnaire
Topic 4.1: Depression_Dummy Data
Topic 4.1: Discussion
Submission SPSS assignment
17. End of Module Assessment
Topic 5.1: Instruction End of Module Assessment 2020
Topic 5.1: Rubric for Biostatistics EOM Assignment 2020
Topic 5.1: Internet usage in Youth SPSS raw data
Topic 5.1: Internet use Survey questionnaire
End of Module Assessment Submission (2020)
Topic 5.1: Discussion
Course Evaluation
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Course information
BSA113 Biostatistics
Coordinator:
LWIN MIE AYE
Coordinator:
CHANDRASHEKHAR THUMMALA HALLY SREERAMA REDDY
Coordinator:
KET LI HO
Coordinator:
SIEW SIEW ONG
