Modern Epidemiology¶
Rothman, K. J., Greenland, & Lash, T. L. (2008). Modern Epidemiology. Wolters Kluwer.
Cited by¶
8 citations across 8 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Confidence Intervals
- Additional canonical references in this cluster: , , , , , , , ,
This sourceStandard epidemiology text treating confidence intervals, effect sizes, and risk measurement as the estimation core of epidemiologic inference.
- Additional canonical references in this cluster: , , , , , , , ,
- Control Sample
- In epidemiology it is case-control designs drawing controls from the same source population as cases.
This sourceCase-control study design and the principle that controls must be sampled from the same source population as cases.
- In epidemiology it is case-control designs drawing controls from the same source population as cases.
- Risk
- Epidemiology: Relative risk and absolute risk quantify the probabilistic excess of disease attributable to an exposure across a population, the workhorse measures of analytic epidemiology that let cohort and case-control studies attach magnitudes to suspected causes.
This sourceLippincott Williams & Wilkins. Standard epidemiology reference: applies estimation and hypothesis-testing machinery to treatment effects, disease prevalence and incidence, attributable risk, odds ratios, hazard ratios, and survival analysis.
- Epidemiology: Relative risk and absolute risk quantify the probabilistic excess of disease attributable to an exposure across a population, the workhorse measures of analytic epidemiology that let cohort and case-control studies attach magnitudes to suspected causes.
- Statistical Inference
- Clinical trials & epidemiology: Estimating treatment effects, disease prevalence and incidence from sample surveys, attributable risk, odds ratios, hazard ratios, survival analysis, as systematized in Rothman, Greenland, and Lash (2008).
This sourceLippincott Williams & Wilkins. Standard epidemiology reference: applies estimation and hypothesis-testing machinery to treatment effects, disease prevalence and incidence, attributable risk, odds ratios, hazard ratios, and survival analysis.
- Clinical trials & epidemiology: Estimating treatment effects, disease prevalence and incidence from sample surveys, attributable risk, odds ratios, hazard ratios, survival analysis, as systematized in Rothman, Greenland, and Lash (2008).
- Stratification
- Stratification clarifies by forcing specification of axis, distinguishing property, stabilizing mechanism, and boundary structure, much as Rothman, Greenland, and Lash (2008) argue in Modern Epidemiology that stratified analysis forces explicit articulation of effect-modification structure, confounder definitions, and within-stratum homogeneity assumptions.
This sourceLippincott Williams & Wilkins. Standard epidemiology reference: applies estimation and hypothesis-testing machinery to treatment effects, disease prevalence and incidence, attributable risk, odds ratios, hazard ratios, and survival analysis.
- Stratification clarifies by forcing specification of axis, distinguishing property, stabilizing mechanism, and boundary structure, much as Rothman, Greenland, and Lash (2008) argue in Modern Epidemiology that stratified analysis forces explicit articulation of effect-modification structure, confounder definitions, and within-stratum homogeneity assumptions.
Domain-specific¶
- Regression
- Statistics and data science — the substantive home: the whole generalised-linear-model family (OLS, logistic, Poisson, quantile, ridge, lasso, GAM, mixed-effects, hierarchical Bayesian) as the workhorse of applied modelling. Econometrics — causal-effect estimation from observational data, with identification machinery (instrumental variables, panel and difference-in-differences methods) layered on the regression fit. Epidemiology — Cox proportional-hazards regression for survival, Poisson regression for incidence, and logistic regression for case-control data.
This sourceAn epidemiology textbook covering logistic regression, the Cox proportional-hazards model, matched case-control analyses and Poisson modelling of incidence data.
Supported in partVerified against the work's full text
“analysis, multiple logistic [regression] analysis, and the [proportional] [hazards] model proposed by Cox”
- Statistics and data science — the substantive home: the whole generalised-linear-model family (OLS, logistic, Poisson, quantile, ridge, lasso, GAM, mixed-effects, hierarchical Bayesian) as the workhorse of applied modelling. Econometrics — causal-effect estimation from observational data, with identification machinery (instrumental variables, panel and difference-in-differences methods) layered on the regression fit. Epidemiology — Cox proportional-hazards regression for survival, Poisson regression for incidence, and logistic regression for case-control data.
Mechanisms¶
- Cohort Analysis
- Its classic failure mode is survivorship: later points on a cohort curve describe only the members who stayed, so a trajectory can appear to improve purely because the strugglers dropped out and stopped being measured.
This sourceExplains that informative loss to follow-up changes later cohort risk sets and can bias longitudinal estimates.
- Its classic failure mode is survivorship: later points on a cohort curve describe only the members who stayed, so a trajectory can appear to improve purely because the strugglers dropped out and stopped being measured.
- Restriction or Eligibility Control
- The discipline is to pre-specify eligibility on causal grounds and to attach the restricted scope to every statement of the result, keeping internal-validity gains from being mistaken for external reach
This sourceDistinguishes internal validity for a study's source population from the separate question of generalizability to target populations.
- The discipline is to pre-specify eligibility on causal grounds and to attach the restricted scope to every statement of the result, keeping internal-validity gains from being mistaken for external reach
Verification¶
Does it exist? Not checked yet. This entry carries no identifier to resolve. It was extracted from the citation as written in the article, normalized, and deduplicated against the rest of the registry.
Does it back the claim? Read against the text for 1 of 8 citations: 1 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Links previously used in the corpus¶
Before the registry existed this work was also linked 3 other ways.
- https://books.google.com/books/about/Modern_Epidemiology.html?id=Z3vjT9ALxHUC ×1
- https://search.worldcat.org/title/132304647 ×1
- https://search.worldcat.org/title/299690479 ×1
Registry ID ref:3ca134a035ec · see in the full table