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BIOSTATISTICS FOR RESEARCH (BASIC/INTERMEDIATE)


Introduction


The workshop will provide a good introduction to biostatistical concepts, particularly in the context of clinical trials and other aspects of clinical research.

Topics covered will include summary statistics and hypothesis tests, with a heavy emphasis on teaching participants to carry out statistical analysis on their own using SPSS.

The participants will be taught on the essential statistical considerations in clinical trials. In addition, various functions of the SPSS will also be taught. For instance, using SPSS to design a database. The participants will also be trained to use SPSS for both qualitative and quantitative analysis.

The workshop will be conducted using several hands-on activities and participants will be guided through a series of exercises to reinforce their learning.


Workshop Objectives

This workshop aims to equip the participants with the knowledge and skills to design a database and perform basic data processing and analysis using SPSS.


Trainer

Dr Chan Yiong Huak


Dr Chan Yiong Huak is currently the Head of the Biostatistics Unit at the Yong Loo Lin School of Medicine, National University of Singapore. He has been active in providing guidance to medical researchers, conducting training courses in biostatistics and has published extensively in both overseas and local peer-reviewed journals. He is also the Associate Editor of the Singapore Medical Journal, member of the BMRC Translational Grant Committee and serves as a Research/Biostatistical Consultant for MOH Health Service Research, NHG Polyclinics and the various hospitals.


Workshop Outline

TIME

TOPIC

Day 1

0900 – 1000

SPSS 1

SPSS basics – defining data, simple descriptive

1000 – 1030

Tea-Break

1030 – 1200

Introduction to Clinical research methodology.

Design issues, intention to treat vs per protocol, estimation, Hypothesis testing, type 1 & 2 errors & Sample size

1200 – 1300

Lunch* (Not inclusive)

1300 – 1500

Qualitative analysis

Parametric and non-parametric tests

1500 – 1530

Tea-Break

1530 – 1700

Tutorial 1

Day 2

0900 – 1030

SPSS 2

Recording data, logical and compute statements. Charts & graphs

1030 – 1045

Tea-Break

1045 – 1215

Quantitative Analysis :

Determing associations between categorical
variables – Chi square, Fisher’s Exact and McNemar test. Use of odds ratios and relative risks

1215 – 1300

Lunch* (Not inclusive)

1300 – 1500

SPSS 3

Merging files. Exporting files from Excel & Access. Syntax commands

1500 – 1530

Tea-Break

1530 – 1700

Tutorial 2

Day 3

0900 – 1030

 

Correlation & Linear Regression Association between quantitative variables – Pearson’s & Spearman’s correlation.

Multiple regression to control for confounders or to determine for predictors in a quantitative outcome variable

1030 – 1045

Tea-Break

1045 – 1215

Logistic regression

To control for confounders or to determine predictors for a qualitative outcome variable

1215 – 1300

Lunch* (Not inclusive)

1300 – 1500

Survival analysis

Kaplan Meier and Cox regression for analysis of quantitative data with censoring

1500- 1530

Break

1530 – 1700

Tutorial 3



Target  Particpants

Healthcare professionals, clinicians and researchers in healthcare who wish to gain a good grounding in database design and biostatistical skills.

No pre-requisite knowledge of statistics and SPSS is needed.

Pre-requisites: Basic computer skills (knowledge of Windows, use of Excel-style spreadsheet)

Workshop Details

Date:   5 - 7 November 2008 - 
1st Intake 
             26
- 28 November 2008 -  2nd Intake 
 
Time:   9 am - 5 pm
             Registration begins at 8.45am
 
Venue: SGH, Postgraduate Medical Institute
              Block 6, Level 1
              SMART Classroom
 
Fee:      S$600 per pax
              (Inclusive of GST)
 
Closing Date:  2 October 2008


Enquiries
 
Person-to-Contact:    Ms Evelyn Phua
Contact no:                  6326 6871
Fax:                               6327 9507
Email:                           evelyn.phua.h.p@sgh.com.sg


Download Registration Form