Syllabus - MBBS
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
68 <strong>Syllabus</strong> <strong>MBBS</strong> — AIIMS<br />
3. Define probability.<br />
4. Define normal distribution.<br />
5. Define bias, random error.<br />
6. Describe methods of sampling and calculate sample size.<br />
7. Carry out random and cluster sampling.<br />
8. Describe the demographic pattern of the country.<br />
9. Define vital statistics, describe their method of collection.<br />
10. Describe the sources of data and their merits for use and census in India.<br />
Contents<br />
• Need of Bio-statistics in Medicine<br />
• Statistical Methods<br />
• Frequency Distribution<br />
• Measures of Central Tendency.<br />
• Proportions<br />
• Tabular & diagrammatic presentation of data probability<br />
• Normal Distribution<br />
• Standard error estimation<br />
• Tests of Significance<br />
• Alpha, Beta error<br />
• Confidence Interval<br />
• Bias/Random errors<br />
• Sample size calculation<br />
• Sampling methods<br />
• Practical exercise in - random sampling - cluster sampling (EPI) Vital Statistics, census<br />
• Demography<br />
5. EPIDEMIOLOGY<br />
Objectives<br />
At the end of the course, student should be able to:<br />
1. Define measures of morbidity/mortality.<br />
2. List and describe the sources of epidemiological data.<br />
3. Describe, with suitable examples, Bradford Hills’ criteria of causation.<br />
4. Describe and illustrate natural history of a disease with suitable examples (communicable and noncommunicable).<br />
5. Collect relevant clinical, psychosocial information from a patient and family, analyze and present to<br />
illustrate the natural history of a common disorder.