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    Module Introduction
    Module Guide (MScPH ODL Biostatistics) Conventional
    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
    Additional Resources
    Reading 6_Interpretation and Uses of Medical Statistics
    David Bowers. Medical Statistics from Scratch
    Reading e-Book: SPSS Statistics for Dummies. By-Keith McCormick, Jesus Salcedo, and Aaron Poh
    Ronald NF. Biostatistics: A guide to design, analysis, and discovery
    Kirkwood, Betty R.. Essential Medical Statistics (2nd Edition)
    Remote Accesst to SPSS via Inuvika
    Assessment
    Assessment Guide (MSPH Biostatistics)
    Announcements
    1.1 Introduction to Biostatistics
    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 Interactive Video: Dependent, Independent, Moderating, Mediating & Control Variable
    Topic 1.1: Video: Types of Statistical Data (By LegaC)
    Topic 1.1: Quiz: Introduction to Biostatistics
    Topic 1.1: Discussion
    2.1 Data Presentation Techniques
    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: Interactive Video: Data Presentation Techniques
    Topic 2.1: Video: Ways of Presenting the Data (Mr Bdubs Maths and Physics)
    Topic 2.1: Quiz: Data Presentation
    Topic 2.1: Discussion
    Descriptive Data
    2.2 Data Editing & Presentation (Assessment 1)
    Topic 2.2: Learning Outcomes
    Topic 2.2: Instructions
    Topic 2.2: Exercise: Data Editing Presentation
    OGIVE graph paper
    Submission 2.2
    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
    2.4 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
    2.5 Descriptive Statistics (Assessment 2)
    Topic 2.5: Learning Outcomes
    Topic 2.5: Questions: Descriptive Statistics
    OGIVE graph paper
    Submission 2.5
    2.6 Normal Distribution & Transformation
    Topic 2.6: Learning Outcomes
    Video Lecture: Normal Distribution & Transformation-AMD
    2.6 Normal Distribution & Transformation Handouts(AMD)
    Topic 2.6: Video: Normal distributions (External Resources)
    Topic 2.6: Notes: Normal distributions notes
    Z table
    Topic 2.6: Quiz: Normal Distribution & Transformation
    online tutorial normal disctribution
    2.7 Sampling Distribution & Probability
    Topic 2.8: Learning Outcomes
    Topic 2.8: Video Lecture: Sampling Distribution & Probability (DrAqil)
    Topic 2.8: Lecture Notes: Sampling Distribution & Probability (DrAqil)
    Instruction for excercise on Sampling distribution
    Topic 2.8: Discussion
    2.8 Sampling
    Topic 2.9: Learning Outcomes
    Topic 2.9: Video Lecture: Sampling (Dr Aqil)
    Topic 2.9: Lecture Notes: Samipling Techniques (Dr Aqil)
    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
    2.9 Normal Distribution & Transformation (Assessment 3)
    Topic 2.7: Learning Outcomes
    2.7 Instructions for tutorial on Normal Distribution & Transformation
    Submission 2.7
    3.1 Hypothesis Testing & Confidence Interval
    Topic 3.1: Learning Outcomes
    Topic 3.1: Video Lecture: Hypothesis Testing(Dr Aqil)
    Topic 3.1: Lecture Notes: Hypothesis Testig (Dr Aqil)
    Topic 3.1: Video: Hypothesis testing
    Topic 3.1: Notes: Hypothesis testing notes
    Topic 3.1: Video: Confidence intervals
    Topic 3.1: Notes: Confidence intervals notes
    Topic 3.1: Quiz: Hypothesis Testing & Confidence Interval
    Topic 3.1: Discussion
    Chi square and T distribution table
    Microlearning Video on Confidence Interval
    3.2 Confidence Interval (Assessment 4)
    Topic 3.2: Learning Outcomes
    Instruction for assignment on confidence interval
    Submission 3.2 (2021)
    3.3 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: Interactive video: Calculating Proportion from Z-scores
    Topic 3.3: Video: Chi-square test for goodness of fit
    Topic 3.3: Quiz: One Sample Test
    Topic 3.3: Discussion
    3.4 One Sample Test (Assessment 5)
    Topic 3.4: Learning Outcomes
    Topic 3.4: Instructions
    Topic 3.4: Exercise: One Sample test
    Submission 3.4 (2021)
    3.5 Comparing Differences in Means between Two or More 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
    3.6 Two samples t-test (Assessment 6)
    Topic 3.8: Learning Outcomes
    Topic 3.8: Questions: Two Sample t-test
    Submission 3.8 (2021)
    3.7 Comparing Differences in Proportions for Two or More 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
    3.8 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
    3.9 Relative Risk & Odds Ratio (Assessment 7)
    Topic 3.12: Learning Outcomes
    Topic 3.12: Instructions
    Topic 3.12: Exercise: Relative Risk Odds Ratio
    Submission 3.12
    3.10 Determining relationship between variables (Measured at interval level)
    Topic 3.9: Learning Outcomes
    Topic 3.9: Video Lecture: Determining Relationship between numerical variables Variables (Dr Aqil)
    Topic 3.9: Lecture Notes: Correlation & Regression (Dr Aqil)
    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
    3.11 Analyzing relationship (Assessment 8)
    SPSS analyses data file
    Topic 3.10: Learning Outcomes
    Submission 3.10 (2021)
    3.12 Non-Parametric Test
    Topic 3.6: Learning Outcomes
    Nonparametric Tests Video Lecture(Dr Aqil)
    Topic 3.6: Lecture Slides: Nonparametric Tests (Dr Aqil)
    Topic 3.6: Quiz: Non-Parametric Tests
    Topic 3.6: Discussion
    3.13 Sample Size Determination
    Topic 2.10: Learning Outcomes
    Topic 2.10: Video Lecture: Sample Size Determination (AMD)_iLecture
    Topic 2.10: Lecture Slides: Sample Size Determination (AMD)
    Microlearning on sample size calculation
    3.14 Sample Size Calculation (Assessment 9)
    Topic 2.10: Learning Outcomes
    Topic 2.10: Instructions for tutorial on Sample Size Calculation
    Submission 2.11
    3.15 Multivariate Analysis
    Topic 3.13: Learning Outcomes
    Topic 3.13: Video Lecture: Multivariate Analysis (Dr Aqil)
    Topic 3.13: Lecture Notes: Multivariate Analysis-Handouts (Dr Aqil)
    Topic 3.13: Video: Multivariate Analysis
    Topic 3.13: Video: Mutiple regression video
    Topic 3.13: Quiz: Multivariate Analysis
    Topic 3.13: Discussion
    3.13 : Assumptions for Multiple Linear Regression
    3.16 Multivariate Analysis (Assessment 10)
    Topic 3.14: Instructions
    Topic 3.14: Datasets for multivariate analyses
    3.14: Assumptions for Multiple Linear Regression
    4.1 Practical Session on Statistical Computing using SPSS (Assessment 11_Summative) (40%)
    Topic 4.1: Learning Outcomes
    Topic 4.1_Slides_SPSS Data Entry and Analysis - MSPH 2020 (1)
    Topic 4.1_Slides_SPSS Data Entry and Analysis - MSPH 2020 (2)
    Topic 4.1_SPSS Practical Video_Part 1
    Topic 4.1_SPSS Practical Video_Part II
    Topic 4.1_SPSS Practical Video_Part III
    Topic 4.1: Practical Session: Raw Data_Sleep quality
    Topic 4.1: Practical Session: Sample Sleep quality questionnaire
    Topic 4.1: Practical Session: Sample Categories
    Topic 4.1: Practical Session: Tables for SPSS outputs
    Topic 4.1: Practical Session: Data collection template for creating and coding variables
    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
    SPSS data PSQI Prepared
    Paired t-test Data
    Topic 4.1: Instruction SPSS Assignment_2021 (Summative Assessment 40%)
    Topic 4.1: Rubric for Biostatistics SPSS Assignment 2021
    Topic 4.1: Depression_Dummy Questionnaire
    Topic 4.1: Depression_Dummy Data
    Topic 4.1: Discussion
    Submission 4.1
    5.1 End of Module Assessment (60%)
    Topic 5.1: Instruction for End of Module Assessment 2021
    Topic 5.1: Rubric for Biostatatistics EOM 2021
    SPSS dataset for the end of module assignment
    Submission 5.1
    Course Evaluation
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