Using Latent Class Analysis to Identify Profiles of Elder Abuse Perpetrators

Perpetrators of Elder Abuse: The Role of Shame and

An application of Measurement error evaluation using latent class analysis

‎Latent class analysis (LCA) is a method of evaluating non sampling errors‎, ‎especially measurement error in categorical data‎. ‎Biemer (2011) introduced four latent class modeling approaches‎: ‎probability model parameterization‎, ‎log linear model‎, ‎modified path model‎, ‎and graphical model using path diagrams‎. ‎These models are interchangeable‎. ‎Latent class probability models express l...

Using latent class growth analysis to identify childhood wheeze phenotypes in an urban birth cohort.

BACKGROUND To advance asthma cohort research, we need a method that can use longitudinal data, including when collected at irregular intervals, to model multiple phenotypes of wheeze and identify both time-invariant (eg, sex) and time-varying (eg, environmental exposure) risk factors. OBJECTIVE To demonstrate the use of latent class growth analysis (LCGA) in defining phenotypes of wheeze and ...

Elder abuse.

BACKGROUND Elder abuse is a common and yet often unrecognised problem in our community. With up to 5% of the community dwelling older population being victims of abuse, the general practitioner has a pivotal role in identifying this abuse. OBJECTIVE This article provides an outline of the definition of elder abuse, describes the types of abuse seen and the reasons for occurrence of abuse. It ...

Comorbidity profiles of psoriasis in Taiwan: A latent class analysis

BACKGROUND Psoriasis is associated with many comorbidities. An understanding of these comorbidity patterns can help foster better care of patients with psoriasis. OBJECTIVE To identify the heterogeneity of psoriasis comorbidities using latent class analysis (LCA). METHODS LCA was used to empirically identify psoriasis comorbidity patterns in a nationwide sample of 110,729 incident cases of ...