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HU Credits:
3
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Statistics
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Micha Mandel
Coordinator Office Hours:
Monday 14:00-14:45
Teaching Staff:
Prof Micha Mandel
Course/Module description:
The course will deal with sampling methods under various statistical frameworks. In particular, the course will present principles in the design and analysis of clinical trials, limitations of observational studies and possible solutions, and principles of sampling from finite populations.
Course/Module aims:
The purpose of the course is to introduce sampling methods and data analysis emphasizing key statistical aspects of the experimental design; to present the advantages and limitations of different methods, and to choose an appropriate method to each statistical problem.
Learning outcomes - On successful completion of this module, students should be able to:
Indicate possible sampling biases that arise from different sampling designs.
Understand the principle of randomization and plan designs that satisfy this principle.
Plan randomization tests implement them using computer software.
Understand different types of observational studies, such as case-control, cohort designs, etc., and to apply the appropriate statistical method to each.
Link the problem of finite population sampling to the classical infinite population problem, and understand the special aspects of finite population estimation.
Distinguish between different kinds of finite population plans and adjust the planning to a given problem.
Calculate the bias and variance of estimators under different designs.
Attendance requirements(%):
0
Teaching arrangement and method of instruction:
Frontal teaching of the theoretical parts including examples.
Weekly or biweekly assignments will be given.
Course/Module Content:
Randomized experiments: the randomization principle and its importance for preventing bias and as a basis for statistical inference, permutation tests, blinding, reducing variances through an experiment. Sequential studies.
Observational studies: difference between the Observational and controlled experiment, sources of bias and dealing with bias by matching and stratification. Case-control and Case-cohort studies.
Finite population sampling: Basic concepts - population, sampling frame, sampling plan, simple random sampling with and without replacement, variance of mean and proportion estimators. Ratio estimators, sampling with unequal probabilities, the Horowitz Thompson estimator. if time permits, stratified sampling and cluster sampling.
Required Reading:
None
Additional Reading Material:
- Observational Studies, by Rosenbaum, Paul (1995), Call Number: QA 279 R67
- Sampling : Design and Analysis, by Lohr, Sharon (1999), Call Number: HA 31.2 L64 1999
- Sampling Techniques, by Cochran, William (1977), Call Number: QA 276.5 C6 1977
Grading Scheme :
Written / Oral / Practical Exam / Home Exam 80 %
Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 20 %
Additional information:
Course will be recorded
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