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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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