PROC LCA: A SAS Procedure for Latent Class Analysis

PROC QTL—A SAS Procedure for Mapping Quantitative Trait Loci

Statistical analysis system (SAS) is the most comprehensive statistical analysis software package in the world. It offers data analysis for almost all experiments under various statistical models. Each analysis is performed using a particular subroutine, called a procedure (PROC). For example, PROC ANOVA performs analysis of variances. PROC QTL is a user-defined SAS procedure for mapping quanti...

Get the Correct Hazard Ratio from SAS PROC PHREG Procedure

Cox proportional hazards model is a commonly used model in providing hazard ratio to compare survival times of two population groups. The exponentiated linear regression part of the model describes the effects of explanatory variables on hazard ratio. PROC PHREG is a SAS procedure that implements the Cox model and provides the hazard ratio estimate. The estimate is interpreted as the percent ch...

Confidence intervals for the interaction contrast ratio: A simple solution with SAS PROC NLMIXED and SAS PROC NLP

Configural Frequency Analysis (CFA) and Latent Class Analysis (LCA): Are the outcomes complementary?

The purpose of the present study was to compare the results of Configural Frequency Analysis (CFA) and solutions derived from Latent Class Analysis (LCA) to evaluate concordances and disconcordances regarding their outcomes. Explorative LCA was applied to the Big Five dataset described in Lautsch & Thöle (this issue). The comparative analyses of the LCA solutions and the CFA results demonstrate...

192-2007: Latent Class Analysis in SAS®—Promise, Problems, and Programming

Latent class analysis (LCA) is an important tool for marketing professionals who must characterize subgroups within large and heterogeneous populations. LCA is also of interest to clinical professionals who must place clients in diagnostic or prognostic categories when a gold standard for doing so is poorly defined. Attempts to bring LCA into the SAS® mainstream are fairly recent. The paper dis...