Search Modules > NUR5002 > Module Overview

Learning Outcomes

TopThis module provides an overview of descriptive and inferential statistics used in health care research. Emphasis is placed on how and when to use statistical techniques as well as interpretation of statistics. Computer applications also are explored.

Prerequisites

TopNIL

Schedule

Top

NUR5002 Statistics for Health Research AY2018/2019
Semester 2 Schedule

Week	Date	Time	Venue	Topics
1	16 Jan 2019	1500-1800	MD1 08-01B	Basic Statistics Concept, Descriptive Statistics, and Probability Distribution
2	23 Jan 2019	1500-1800	MD1 08-01B	Hypothesis Testing and Confidence Intervals
3	30 Jan 2019	1500-1800	MD1 08-01B	Parametric Test I (Independent samples t-test, Paired sample t-test, Analysis of Variance – ANOVA, etc.)
4	6 Feb 2019	Chinese New Year
5	13 Feb 2019	1500-1800	MD11 CRC Sym Rm 2 & 3	Non-parametric Test (Mann-Whitney U test, Wilcoxon Signed Rank test, Kruskal Wallis H test, etc.)
6	20 Feb 2019	1500-1800	MD6 03-05	Chi-square test and Correlation Analysis
	27 Feb 2019	Recess week
7	6 Mar 2019	1500-1800	MD6 03-01P	Parametric Test II (Analysis of Covariance - ANCOVA and Repeated Measured ANCOVA)
8	13 Mar 2019	1500-1800	MD1 08-01B	Linear Regression I – Simple Linear Regression
9	20 Mar 2019	1500-1800	MD1 08-01B	Linear Regression II – Multiple Linear Regression
10	27 Mar 2019	1500-1800	MD1 08-01B	Logistic Regression
11	3 Apr 2019	1500-1800	MD1 08-01B	Kaplan–Meier Curves, log-rank test, and Cox-Regression
12	10 Apr 2019	1500-1800	MD1 08-01B	Reliability and Factor analyses
13	17 Apr 2019	1500-1800	MD11 CRC Sym Rm 2 & 3	Sample size determination Reporting Statistics in Health Research and Revision
14	24 Apr 2019	Reading Week
	Fri, 3 May 2019	1430-1630	MD1 08-01A/B		Examination

Note: Computer Lab 1 – MD1 08-01A Computer Lab 2 – MD1 08-01B updated 10 Jan 2019

Assessment

Top40% Assignment
60% Examination

Preclusions

TopNIL

Workload

Top2-2-0-2-4

Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week