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Description
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NUR5002
STATISTICS FOR HEALTH RESEARCH
2018/2019, Semester 2
Yong Loo Lin School of Medicine (Nursing/Alice Lee Ctr for Nursing Stud)
Modular Credits: 4
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Learning Outcomes
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This 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
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NIL
Schedule
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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
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40% Assignment
60% Examination
Preclusions
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NIL
Workload
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2-2-0-2-4
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