Epidemiology - Causation models

Cansation Models 1. kochs postulates web I causation 2. Hills citlena Ja causality 3. Twelve criteria Jan causation Hills criteria Jon causality Help to determine is a one timely camel Strength Consistamy mcorno 1.91 Specificity Temporally Bicological gradient Plausibility Cohereme Analogy meb g consaction Lack I accessible recover Stnen Lack g excercin loneliness education Obesity among adults c dev disabilities Lack g emot suppo it Seciniam We sty Lack g food Shill Lack g from Diet programs mitrition main living arrangents

Twelve Criteria Jan cancition Cause distributed at some Cenier Cawat associotin Incidem much higher in emposed populs Conjounding leilor Exposure more Inequently DIS follow exposure. Dose dependent Ex peeted response Association should be some Other came - effect onled out Control results in dls Mody g host results in Human vol. always . Finding should make sense. Association Slatistical relationship blw Rf 1 enposure to discorouteous Measure g amociation antifies relationship blw exposure & dls among two group. Are following anourtion always time - cig smoking & LC - Age E prostate cancer - -caracc E alcohol cree. - Agr. & Antibiotin resistance Degree g amovetion -No - amociation sometimes amoin Always - Direct - -Indirect Spunious. Appears to be counsal mariety are to Chame or one both related-to - some unicess conjorders