HIA306 Statistics Thinking for Health Analytics

First lecture part II

1. Overview

Getting to know

HIA306 - Statistics Thinking for Health Analytics

Module Learning Outcomes

Student Learning Time

2. Reference

Learn R

Elementary Statistics - A step by step approach

3. Assessment

Submission: Assignment 1(27th October 2023)

Submission: Assignment 2 (24th November 2023)

Submission: Assignment 3 (15th December 2023)

Submission: Project - Part 1 (12th January 2023)

Submission: Project - Part 2 (15th January 2023)

Project 2

Topic 1 - Basic Statistical Concepts (Lecture - 1hr)

Lecture 1

Topic 2 - Probability (Lecture - 1hr)

First lecture part II

Central Limit Theorem

Normal approximation to Binomial and Poisson distribution

Topic 3 - CAL Workshop: Statistics with R Programming (2 hrs)

Hypothesis Testing

Example in R

Topic 4 - Hypothesis Testing (Lecture - 1 hr)

Hypothesis Testing1

Hypothesis testing in R

Topic 5 - Selecting Proper Statistical Tests (Lecture - 1 hr)

Selecting the proper statistical test

Topic 6 - Assignment 1 (3 hrs)

Assignment 1 data

Assignment 1

Topic 7 - Comparing Two Population Proportions (Lecture - 1 hr)

Comparing two populations proportions

Topic 8 - CAL Workshop: Statistics with R Programming (2 hrs)

5. OR, RR, rate

Topic 9 - Comparing Two Populations Means (Lecture - 1 hr)

Comparing two populations means

Topic 10 - Comparing More Than Two Groups (Lecture - 1 hr)

Comparing more than two groups

Topic 11 - CAL Workshop: Statistics with R Programming (10 hrs)

6. Comparing two populations means

7. Comparing more than two groups

covid

Topic 12 - Categorical Association (Lecture - 1 hr)

Categorical association

Topic 13 - CAL Workshop: Statistics with R Programming (2 hrs)

8. Categorical association

Topic 14 - Assignment 2 (3 hrs)

rei

PIIS2666606520300559

Topic 15 - Regression and Correlation (Lecture - 1 hr)

Regression in R

Example of Inferences of Two Proportions in R

Regression Analysis 1

Topic 20 - Evaluation of Models (Lecture - 1 hr)

Variable and model selection

Topic 21 - CAL Workshop: Statistics with R Programming (2 hrs)

Regression Model for Analyzing Cost in Healthcare

Weight Calories Sodium Data

Topic 23 - Project (21 hrs)

Healthcare Dataset

Topic 24 - SPSS (Additional Information)

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HIA306 Statistics Thinking for Health Analytics