This high-yield revision note on Biostatistics for NEET MDS: Sensitivity, Specificity, P-Value Explained covers everything examiners typically test under Community Dentistry — structured as quick-reference tables, clinical correlations, mnemonics and previous-year-style high-yield points. It's built for last-mile revision before NEET MDS, INI-CET MDS and INBDE, so you can scan it in minutes instead of re-reading a whole textbook chapter.
| Term | Formula | Meaning |
|---|---|---|
| Sensitivity | True Positives / (True Positives + False Negatives) | Ability of a test to correctly identify those WITH the disease; a highly sensitive test is best for SCREENING (few false negatives, rules OUT disease when negative - "SnNout") |
| Specificity | True Negatives / (True Negatives + False Positives) | Ability of a test to correctly identify those WITHOUT the disease; a highly specific test is best for CONFIRMING diagnosis (few false positives, rules IN disease when positive - "SpPin") |
| Positive Predictive Value (PPV) | True Positives / (True Positives + False Positives) | Probability that a person with a POSITIVE test actually has the disease - varies with disease PREVALENCE in the population tested |
| Negative Predictive Value (NPV) | True Negatives / (True Negatives + False Negatives) | Probability that a person with a NEGATIVE test is truly disease-free |
| P-value | - | The probability of obtaining the observed result (or more extreme) purely by CHANCE, if the null hypothesis is true; conventionally, P <0.05 is considered statistically significant |
| Type I error (alpha error) | - | Falsely REJECTING a true null hypothesis (a "false positive" finding - concluding there IS a difference/effect when there isn't one) |
| Type II error (beta error) | - | Falsely ACCEPTING a false null hypothesis (a "false negative" finding - missing a real difference/effect that does exist) |
| Mean, Median, Mode | - | Mean = arithmetic average (affected by extreme outlier values); Median = middle value when data is ranked (NOT affected by outliers, preferred for skewed data); Mode = most frequently occurring value |
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