SUMMER SHORT COURSES 2016
Department of Research
Dow University of Health Sciences
APPLIED BIOSTATISTICS
Studies with latest molecules and techniques appear in the literature every day. But how do we know if the latest drug
or intervention actually has merit? Biostatistics is the key. It offers crucial tools for evaluating the significance or impact
of public health researches and interventions. This course comprehensively introduces statistical concepts and analytical
methods as applied to data encountered in biotechnology and biomedical sciences. It emphasizes the basic and applied
concepts of experimental design, quantitative analysis of data, and statistical inferences, as well as manner in which
these technique are applied in the statistical software such as SPSS. This program will also provide appropriate balance
between conceptual statistical understanding and their application in medical sciences.
COURSE OUTLINE:
Descriptive statistics: Measure of central tendency and dispersion, frequency distribution, data representation using
tables, graphs and charts.
Probability: Concept, definition and types of probability, Bayes theorem.
Distribution and confidence interval: The Binomial distribution, the Poisson distribution, the normal distribution and
95% confidence interval for mean.
Sampling Technique: Population, sample, different sampling techniques
Hypothesis testing: Introduction to hypothesis, one and two samples testing, interpretation of P-value, ANOVA and
multiple comparisons, non-parametric testing, chi-square test of independence.
Correlation and regression: Concept and type of correlations and association, simple and multiple linear regressions.
Logistic regression and survival analysis: logistic regression analysis and introduction to survival analysis
COURSE FEE:
Course fee Rs. 25,000/WHO SHOULD ATTEND?
People from public and private organization and individuals
COURSE DETAILS
Duration
Schedule
Modules
12 weeks
Every Sunday (9:00 am to 3:00 pm)
Lunch and Zuhr Prayer break 12:30---1:30pm
60 contact hours
1
STATISTICAL SOFTWARE FOR HEALTH SCIENCES
This course is designed to familiarize with MS Excel, Statistical Package for Social Sciences (SPSS),Minitab and Statistical
Analysis System (SAS) and will cover topics such as importing data, basic data manipulation, graphing data, descriptive
analyses and simple inferential tests, such as t-tests and one-factor ANOVA. This program will also provide appropriate
balance between statistical understanding and their application employing software.
COURSE OUTLINE:
MS. Excel, SPSS, Minitab and SAS
Excel
Introduction Basic Functions Formatting/Data Presentation Table, Sorting & Filtration
Graphical Analysis of Data Data Tools Conditional Formatting Use of Pivot Table with
Advance Functions Use of Pivot Charts Some Important MS Excel Formula and their Functions
Protect Worksheet & Workbook.
SPSS
Introduction and Importance
Import/Export of Data How to Manage the data by (Data Entry,
Transformation, Recoding, Sorting, Select Cases) Descriptive Statistics including Tables and Graphs
Testing of Hypothesis using Parametric Tests {One Sample t Test, Two Samples Independent t Test, Two
Samples Paired t Test, One Way ANOVA (F Test)}
Testing of Hypothesis using Non-Parametric tests. (One
Sample Sign Test, Two Samples Independent Mann Whitney Test, Two Samples Wilcoxon Signed Rank Test,
KruskulWalli’s Test) Test of Independence & Goodness of Fit Test using Chi-Square Correlation
Regression
Minitab
Introduction and Importance. Import/ export of Data and Data Entry. How to compute the data
for different variables. How to recode the data. Descriptive Statistics including Tables and Graphs.
Testing of Hypothesis using Parametric Tests. {One Sample t Test, Two Samples Independent t Test, Two
Samples Paired t Test, One Way ANOVA (F Test)} Testing of Hypothesis using Non-Parametric tests. (One
Sample Sign Test, Two Samples Independent Mann Whitney Test, Two Samples Wilcoxon Signed Rank Test, KruskulWalli’s
Test)
Test of Independence & Goodness of Fit Test using Chi-Square.
Correlation
Regression
SAS
Entering Data Modifying Data Exploring Data Managing Data Reading raw data into SAS Creating
and recoding variables
Using SAS functions for making/recoding variables
Labeling data, variables, and
values
Tabulation and graphing the data
Statistical analysis (One and two sample hypothesis testing,
ANOVA, Chi-square test Correlation, Regression)
EpiData
Introduction How to develop a Questionnaire?
How to Export the Data in different Software’s?
How to Enter the Data?
2
COURSE FEE:
Course fee Rs. 25,000/WHO SHOULD ATTEND?
People from public and private organization and individuals
PREREQUISITE
Knowledge of basic statistical analysis
COURSE DETAILS
Duration
Schedule
Modules
12 weeks
Every Saturday (3:00 pm to 8:00 pm)
Asar Prayer and refreshment break (05:30pm---06:00pm)
60 contact hours
3
PRINCIPLES OF EPIDEMIOLOGY
This course is designed to provide the knowledge and skills of basic principles of epidemiology. It will also
provide the methodology and practical application of epidemiology tools for interpretation for data reporting
of research studies.
COURSE OUTLINE:









Introduction and uses of epidemiology
Measures of morbidity
Assessing the validity and reliability of diagnostic and screening test
Study Design in epidemiology
Measures of association
Bias and confounding
Association and causation: deriving inferences from epidemiological studies
Outbreak investigation
Development of study protocol
PROTOCOL DEVELOPMENT:
By developing a study protocol participant will be able to apply the knowledge and skills learnt during the course.
COURSE FEE:
Course fee Rs. 25,000/WHO SHOULD ATTEND?
This course is intended for physicians, nurses, biologists, anthropologists, health program managers and other
professionals with an interest in health problems in developing countries
COURSE DETAILS
Duration
Schedule
Modules
12 weeks
Every Saturday (3:00 9m to 7:00 pm)
Asar Prayer and refreshment break (05:30pm---06:00pm)
48 contact hours
4
RESEARCH METHODOLOGY
This course is designed to provide a comprehensive overview of the research methods currently required to perform
basic research. It emphasizes the basic concepts of quantitative research, qualitative research and mixed design
research methods. The purpose of this course is to educate the students in designing and conducting the original
research addressing health problems. Throughout this process, the students will apply epidemiological research
methods and gain the skills of proposal writing, data collection, data analysis, interpretation and presentation of results
and research report writing. This course will also train the students, how to submit the synopsis/proposals to the
Institutional Review Board (IBR) and to the funding agencies like, Higher Education Commission (HEC) and Pakistan
Medical Research Council (PMRC).
COURSE OUTLINE:












Type of Research approaches
Stages of the research process
Background and literature searching & information gathering
Purpose, rational and significance of research
Epidemiological research design
Sample size calculation
Sampling techniques
Data collection methods
How to construct information gathering tools & Data
Ethical issues in research
Research report writing and plagiarism
Research grant writing
COURSE FEE:
Course fee Rs. 25,000/COURSE DETAILS
Duration
Schedule
Modules
12 weeks
Every Sunday (9:00 am to 1:00 pm)
Refreshment break (11:00am—11:15am)
48 contact hours
5
Teaching Faculty
Dr. Kashif Shafique
Mr. Abdur Rasheed
Ms. Mehwish Hussain
Mr. Syed Arif Ali
Dr. Muhammad Tahir Rizwan Khan
Mr. Waqas Ahemd Faroqui
For more detail visit http://www.duhs.edu.pk
Courses coordinator: Mr. Abdur Rasheed (0321-2598763)
abdur.rasheed@duhs.edu.pk
Office contact no. 021-99261471-5, 99232660, and 38771111 (Ext: 2413, 2408)
6