PSM is a highly significant subject from FMGE perspective.
PSM (SPM or CPM or Community Medicine) appears very extensive and monotonous to most of the FMGE aspirants.
Keeping the aspirants’ concern in mind, we have compiled this article which will bring forth the Tips and the Most Important Topics of PSM from FMGE perspective.
We hope that this will surely help you to develop some interest in this subject.
Most Important Topics and Tips for PSM Preparation
Here is a list of the Most Important Topics and Tips for Preparation of PSM:
For Biostatistics, you need not go into greater details since most of the questions are restricted to Chi square, Paired T Test and Student T Test.
There is no need to focus on Multi-variant analysis.
Further, study the Sampling types and attain a brief knowledge of Mean, Median, Mode, Standard Deviation, Standard error and Normal Distribution.
Further, gather a brief knowledge about Screening Tests. Important Topics under Screening Tests:
Briefly prepare Sensitivity and Specificity Tests
Focus on PPV, MPV and their Relation to each other as per the Base Theorem
Focus on what happens when the Tests are arranged in Series and when the Tests are arranged in Parallel
Thoroughly prepare Null Hypothesis: α-error, β-error and Power of a Test
Gather a basic knowledge of Guttman Scale, Likert Scale and Distinction of Characters in Categorical Test and Quantitative Test
Gather a brief knowledge about which test to apply, whether the test can be termed as Qualitative or Quantitative and the degree in which it can be placed
Study Bias, Confounding and Effect Modifier briefly and clear your concepts thoroughly
Anthony N. Glaser is the best and recommended book for Biostatistics
II. Epidemiology: Concept of Health & Disease
Most Important Topics
Prepare the Difference between HDI, HPI and PQLI in parallel to understand the difference between them
Concept of Web of Causation, Iceberg Concept & Brief awareness of the ‘At Risk’ approach
Types of Studies:
Distinction between Case Control, Randomized Control Trial and Cohort
Factors favoring Case Control, Randomized Control Trial and Cohort
Shortcomings of Case Control, Randomized Control Trial and Cohort