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Course data
BSA113 Biostatistics
Announcements
Module Introduction
Module Learning Outcomes
Module Synopsis
Student Learning Time (SLT)
Module Guide
About Dr Lwin Mie Aye
About Associate Professor Dr Aqil M. Daher
About Dr Lwin Mie Aye
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
Remote Access to SPSS via Inuvika
Assessment
Assessment Guide
MSA121 - Dr Ng Wai Kin
MSA121 - Dr Ima Linda Binti Umar Ali
MSA121 - A/Prof Sim Sze Kiat
MSA121 - Ms Ng Mei Chee
MSA121 - Mr Yu Jwu Gian
MSA121 - Dr Hanefa Binti Ismail
MSA121 - Mr Chai Tze Chyan
Week 3
Topic 1.1: Learning Outcome
Topic 1.1: Video Lecture: Introduction and Types of Biomedical Data (LMA)
Topic 1.1: Lecture Notes: Introduction and Types of Biomedical Data (LMA)
Topic 1.1: Interactive Video: Dependent, Independent, Moderating, Mediating & Control Variable
QUIZZ: Introduction and Types of Data/Describing Data
Topic 1.2: Learning Outcome
Topic 1.2a: Video Lecture: Data Presentation (LMA)
Topic 1.2a: Lecture Note: Data Presentation (LMA)
Topic 1.2b: Measures of Central Tendency (LMA)
Topic 1.2b: Lecture Note: Measures of Central Tendency (LMA)
Topic 1.2c: Video Lecture: Measures of Dispersion (LMA)
Topic 1.2c: Lecture Note: Measures of dispersion (LMA)
Topic 1.2 Additional reading materials
Topic 1.2: Interactive Video: Data Presentation Techniques
Discussion Forum
Week 4
Topic 1.3: Learning Outcome
Topic 1.3: Practical Video: Introductiont to SPSS (LMA)
Topic 1.3: Lecture Notes: Introduction to SPSS Part I (LMA)'
Topic 2:3: Practical Video: Data Entry and Analysis Part II_Descriptive Analysis (LMA)
Topic 2.3: Lecture Notes: Data Entry and Analysis Prt II_Descriptive Analysis (LMA)
Topic 1.3: SPSS Manual
Topic 1.3: IBM SPSS Statistics Core System User Guide
Topic 1.3: Dummy Tables (consolidated)
Raw Data_Sleep Quality
Sleep quality questionnaire
Categories
Submission: Practical 1.3
Topic 1.4: Learning Outcome
Topic 1.4: Instruction Data Presentation Descriptive Statistics 2022
Topic 1.4: Data: Knowledge on risk of DM
Topic 1.4: Questionnaire: Knowledge on DM
Submission: Assessment 1
Topic 2.1: Learning Outcome
Topic 2.1: Video Lecture: Probability Concept_AMD
Topic 2.1: Lecture Note: Probability Concept (AMD)
Reading 1_Basic concepts in probability
Reading 2_A Short Introduction to Probability
Reading 3_A Foundation for Analysis in the Health Sciences (10th Ed)
QUIZZ: Probability Concept
Week 5
Topic 2.2: Learning Outcome
Topic 2.2: Video Lecture: Probability Distribution_AMD
Topic 2.2: Lecture Notes: Probability Distribution-Normal Distribution (AMD)
Topic 2.2: Binomial probability
Topic 2.2: Binomial table
QUIZZ: Probability Distribution
Topic 2.3: Learning Outcome
Instruction Tutorial on Population and Sampling methods
Topic 2.3: Lecture Notes: Sampling-AMD-presentation -AMD
Instructions on Summative Assessment
Submission: Assessment 2
Topic 3.1: Learning Outcome
Topic 3.1: Video Lecture: Confidence Interval
Topic 3.1: Lecture Notes: Confidence Interval (AMD)
Reading 1_Using the confidence interval confidently
Reading 2_Statistics Confidence Intervals
Readign 3_ Effect size, confidence interval and statistical significance
QUIZZ: Confidence Interval
Week 6
Topic 3.2: Learning Outcome
Instruction on Tutorial: Probability Distribution
Submission: Assessment 3
Topic 4.1: Learning Outcome
Topic 4.1: Video Lecture: Hypothesis testing_Quantitative Data_t tests_LMA
Topic 4.1: Lecture Notes: Hypothesis testing - Quantitative data I - t test_LMA
Topic 4.1: Video 1: Z-scores, Standardization and Standard Normal Distribution
Topic 4.1: Video 2: Z-statistics vs. T-statistics
QUIZZ: Quantitative Data I_t-tests
Topic 4.2: Learning Outcome
Topic 4.2: Video Lecture: Hypothesis Testing - Quantitative Data II_ANOVA (LMA)
Topic 4.2: Lecture Notes: Hypothesis Testing - Quantitative Data II _ANOVA (LMA)
Topic 4.2: Video 1: Intro to the F Statistics
Topic 4.2: Reading Materials for F statistics/ANOVA
QUIZZ: Quantitative data II_ANOVA
Topic 4.3: Learning Outcome
Topic 4.3: Practical Video: Hypothesis Testing for Quantitative Data (t-test and ANOVA)
Topic 4.3: Practical Notes: Hypothesis testing for Quantitative Data (t-test ANOVA)_LMA
Raw Data Sleep quality
SPSS data PSQI Prepared
Paired t-test Data
Sleep quality questionnaire
Categories
Submission: Practical 4.3
Week 7
Topic 5.1: Learning Outcome
Topic 5.1: Video Lecture: Hypothesis testing_ Qualitative data - Chi-square test & McNemar test
Topic 5.1: Lecture Notes: Hypothesis testing - Qualitative data - Chi-square test, McNemar test
Topic 5.1: Reading 1_McNemar Test
Topic 5.1: Video 1: Chi-square Test
QUIZZ: Chi-square test
Topic 5.2: Learning Outcome
Topic 5.2: Video Practical: Hypothesis Testing for Qualitative Data
Topic 5.2: Practical Notes: Hypothesis testing for Qualitative Data_LMA
Raw Data Sleep quality
Sleep quality questionnaire
Submission: Practical 5.2
Assessment 4 Instructions 2022
Assessment Rubric 2022
Submission: Assessment 4
Topic 6.1: Learning Outcome
Topic 6.1: Video Lecture: Simple Correlation and Regression
Topic 6.1: Lecture Notes: Simple Correlation and Regresion (AMD)
Topic 6.1: Video 1: The difference between Correlation and Regression
Topic 6.1: Video 2: Comparing Pearson Correlation and Linear Regression in SPSS
Reading 1: Introduction to Correlation Regression analysis
Reading 2: Correlation and Regression Analysis
QUIZZ: Correlation and Regression
Week 8
Topic 6.2: Learning Outcome
Topic 6.2: Video Lecture: Logistic Regression
Topic 6.2: Lecture Notes: Logistic Regression (AMD)
Reading 1: Practical Guide to Logistic Regression
Reading 2: Logistic Regression
Reading 3: Hosmer and Lemeshow
QUIZZ: Logistic Regression
Topic 6.3: Learning Outcome
Topic 6.3: Practical Video_Correlation, linear and logistic regression_AMD
Topic 6.3: Practical Notes:Correlation , Linear and Logistic Regression-Practical-AMD
Practical activiy instruction sheet
SPSS Data_Smoking
SPSS Data_Low Birth weight
SPSS Data_Obesity
Community Project Data Sep 12
Submission: Practical 6.3
Week 9
Topic 7.1: Learning Outcome
Topic 7.1: Video Lecture: Sample Size Calculation
Topic 7.1: Lecture Notes: Sample Size Calculation (AMD)
Reading 1_Sample Size Estimation in Clinical Research
Reading 2_Sample Size Calculation in Clinical Trials
Reading 3_Sample Size calculation in clinical research
QUIZZ: Sample Size Calculation
Topic 7.2: Learning Outcome
Topic 7.2: Instruction (AMD)
Submission: Assessment 5
Topic 8.1: Learning Outcome
Topic 8.1: Video Lecture: Multiple Logistic & Linear Regression
Topic 8.1: Lecture Notes: Multivariate Analysis (AMD)
Reading 1_How to interpret and report multivariable analysis
Reading 2_Multivariate-data-analysis-8th-edition-Hair et al
Week 10
Topic 8.2: Learning Outcome
Topic 8.2: Practical Video_Multiple Regression_AMD
Topic 8.2: Practical Note: Multivariable Regression-Practical- AMD
SPSS Data_Stress among PG students
Submission: Practical 8.2
Instruction Assessment 6 2022
Assessment Rubric 2022
Dataset for the assessment
Submission: Assessment 6
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Course information
BSA113 Biostatistics
MSA120
MSA121
Coordinator:
LWIN MIE AYE
Coordinator:
SHIH CHAU NG
