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Studyguide FK6163 Basic Statistics UKM


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Studyguide FK6163 Basic Statistics UKM

Studyguide FK6163 Basic Statistics UKM

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  • 1. MASTER OF COMMUNITY HEALTH MASTER OF COMMUNITY HEALTH SCIENCES 2012/2013 SESSION FK6163-BASIC MEDICAL STATISTICSINTRODUCTIONThis is a basic course on medical statistics. This course will cover topics on descriptive statisticssuch as; Data collection, Data analysis, Data presentation and Summarisation of quantitative and qualitative data.The course will also discuss on inferential statistics such as hypothesis testing and tests ofsignificance. The use of statistical computer packages such as SPSS will also be introduced in thiscourse.COURSE OBJECTIVESAnd the end of the course the students will be able to: 1. summarised the data into graphs and tables and to know the method of summarising the quantiative and qualitative data. 2. understand the probability concept and different type of distribution and its application. 3. understand the hypothesis-testing concept 4. identify the different type of statistical testing methods based on different type of data 5. understand the application of correlation and regression technique 6. do simple statistical data analysis by using SPSS programme.TEACHING METHODSThe course will be conducted by lectures, tutorials, practical and assignments. There will be twosessions per week lasting for two hours. Usually lectures will be given in the first session andpractical or tutorials will be conducted in the second session of the respective week. First session : Tuesday 8.30 to 10.30 am Second session : Thursday 8.30 to 10.30 am
  • 2. TEACHING STAFF Course Coordinator : PM Dr. Azmi Mohd Tamil ( course will be evaluated through continuous assessment and final examinationContinuous assessment (30%) : Minitest (10%) Computer-based exam (10%) Practicals (10%)Final Examination (70%) : Essay (28%) and MCQ (42%)REFERENCE 1. Kirkwood B.R(1988) Essentials of Medical Statistics. Blackwell Scientific Publication. Oxford London 2. Sabin C. & Petrie A.(2005). Medical Statistics at a Glance. 2nd Ed. Blackwell Publishing USA 3. Md Idris M.N. Asas Statistik dan Penyelidikan Perubatan. Dewan Bahasa dan Pustaka 4. Dawson B& Trapp R.G (2004). Basic and Clinical Biostatistics. 4th Ed. Mc Graw Hill, New York. 5. Y.H. Chan, 2003-2005. Basic Statistics For Doctors Series. Singapore Medical Journal. Freely available from 101: Data Presentation (Sept 2003) 102: Quantitative Data - Parametric & Non-Parametric Tests (August 2003) 103: Qualitative Data - Tests of Independence (October 2003) 104: Correlational Analysis (December 2003) 201: Linear Regression Analysis (Feb 2004) 202: Logistic Regression Analysis (April 2004) 6. T. D. V. Swinscow, 2001. Statistics At Square One. BMJ Publishing Group; 10th edition. Freely available from 7. Azmi MT, 1999. SPSS for Medical Statistics (online resource in Malay). 8. Azmi MT, 2000. Excel for Medical Statistics (online resource in Malay).
  • 3. Course DescriptionWeek/Date Course Topics Lecturer Week 1 Entrance Examination Dr Azmi11 & 13 Sept Basic Probability Basic concept of probability Probability law Normal Probability Distribution Week 2 Normal distribution Standard error and confidence interval18 & 20 Sept Standardized normal curve Binomial and Poisson Probability Distribution Definition and usage of binomial distribution Poisson distribution Week 3 Basic concept of study design Sample size25 & 27 Sept Computer I (Sample size) Summarizing data: Statistical index for data Week 4 Variable definition Variable measurement 2 & 4 Oct To describe the centre of a distribution To describe the variability of a distribution Presenting data into tables Presenting data into graphs Computer II (SPSS) Statistical data management - data file preparation - variables determination - type/format/missing - variable label and value -data entry, edit, delete, merge and file split Week 5 Computer III (SPSS) - Data exploration 9 & 11 Oct -data cleaning -data exploration -descriptive statistics Practical 1 Discussion
  • 4. Week/Date Course Topics Lecturer Week 6 Basic Hypothesis Basic concept of hypothesis testing16 & 18 Oct Hypothesis testing method Statistical Test for Quantitative Data I - Student’s T Test - paired T Test Statistical Test for Quantitative Data II Week 7 - ANOVA (analysis of variance) - proportionate test23 & 25 Oct Practical 2 Week 8 Statistical Test for Quantitative Data III Correlation and Linear Regression 30 Oct & Simple linear regression 1 Nov Pearson correlation coefficient Computer IV (SPSS) T-Tests Correlation Regression Practical 3 Week 9 Statistics Test for Qualitative Data I 6 & 8 Nov Chi-square test Yates Correction McNemar chi-square test Fisher exact test Mid Semester Break (1 week; 10 – 18 Nov) Week 10 Statistics Test for Qualitative Data II Mantel and Hanszel chi-square test20 & 22 Nov Chi-square test for trend Statistical Test for Quantitative Data IV Mann Whitney & Wilcoxon sum rank test Kruskal Wallis test Wilcoxon signed rank test Spearman Correlation
  • 5. Week/Date Course Topics Lecturer Week 11 Computer V Qualitative Data Analysis 27 Nov & 29 Nov Practical 4 Week 12 Introduction to Multivariate Analysis 4 & 6 Dec Multiple Linear Regression Multiple Logistic Regression Week 13 Computer VI 11 & 13 Dec Multiple Linear & Logistic Regression Minitest 1 (MCQ) Week 14 Computer-based examination 18 & 20 Dec Week 15 Revision Week 22 & 31 Dec Week 16 Examination week 2 & 18 JanWeb 2.0All students are required to become members of the following egroup/forum; can also join the Facebook group at; can be downloaded from SPIN at, or