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Syllabus - MBBS

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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.

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