Category: PGMEE, MRCS, USMLE, MBBS, MD/MS

Statistical hypotheses Null hypothesis (H0): No difference or relation exists; e.g. Treatment A is not better than Treatment B Alternative or research hypothesis (H1): Some difference or relation exists, e.g. Treatment A is better than Treatment B Statistical errors Type I error (alpha): False positive (Falsely rejecting Null-hypothesis; i.e. null…

Let’s unveil the mathematics behind the relation between: Prevalence (Pre-test probability) Predictive value (Post-test probability) Sensitivity Specificity SYMBOLS: Total screened population = nPrevalence = PSensitivity = SnSpecificity = SpTrue positive = TPTrue negative = TNFalse positive = FPFalse negative = FNWith disease = D+Without disease = D-Positive predictive value =…

A. Parallel testing 2 screening tests are applied simultaneously: So, this test will have: B. Series testing After the 1st screening test is conducted, those who test positive are only tested with the 2nd screening test: So, this test will have: Formulae for combined specificity and sensitivity A. Parallel testing:…

Total SDG goals: 17 Time frame: 2016-2030 Goal 3: Good health and well beings for all ages Important targets of Goal 3 (Targeted by 2030) A. Maternal and Child health (MCH) Mnemonic: 12 letters in “NEONATE DEATH or NEWBORN DEATH“. 1. NMR reduction target: 122. U5MR reduction target: 12 X…

These rates, ratios and proportions are often questioned in PGMEE, pediatrics, obstetrics and preventive and social medicine (PSM) or community medicine examinations. NDHS = National Demographic and Health Survey a. Neonatal mortality rate (NMR): 21 per 1000 live births (i.e. 3/4 of infant deaths) b. Infant mortality rate (IMR): 28…