Mantel–Haenszel estimators of odds ratios for stratified dependent binomial data

Mantel-Haenszel estimators of odds ratios for stratified dependent binomial data

A standard approach to analyzing n binary matched pairs being usually represented in n 2× 2 tables is to apply a subject-specific model; for the simplest situation it is the so-called Rasch Model. An alternative population-averaged approach is to apply a marginal model to the single 2 × 2 table formed by n subjects. For the situation of having an additional stratification variable with K levels...

Density Estimators for Truncated Dependent Data

In some long term studies, a series of dependent and possibly truncated lifetime data may be observed. Suppose that the lifetimes have a common continuous distribution function F. A popular stochastic measure of the distance between the density function f of the lifetimes and its kernel estimate fn is the integrated square error (ISE). In this paper, we derive a central limit theorem for t...

Beta‐binomial model for meta‐analysis of odds ratios

In meta-analysis of odds ratios (ORs), heterogeneity between the studies is usually modelled via the additive random effects model (REM). An alternative, multiplicative REM for ORs uses overdispersion. The multiplicative factor in this overdispersion model (ODM) can be interpreted as an intra-class correlation (ICC) parameter. This model naturally arises when the probabilities of an event in on...

Subject-specific odds ratios in binomial GLMMs with continuous response

Riassunto: In un contesto di regressione, la dicotomizzazione di una variabile risposta continua è solitamente dettata dall’esigenza di ottenere una misura del rapporto di quote (odds ratio) che ne quantifichi l’associazione con uno o più fattori di rischio. Prendendo spunto da un lavoro recentemente pubblicato, in questo articolo si esplora la possibilità di ottenere stime del rapporto di quot...

Generalized Odds Ratios for Ordinal Data