caa a22 4500 475799445 CHVBK 20180406123733.0 cr unu---uuuuu 170329e20000101xx s 000 0 eng 10.1023/A:1002086526693 doi (NATIONALLICENCE)springer-10.1023/A:1002086526693 Evaluation and Extensions of a Structural Equation Modeling Approach to the Analysis of Survival Data [Elektronische Daten] [Samuel Posner, Laura Baker] Recently a new method for the analysis of survival data using a structural equation modeling approach has been suggested by Pickles and colleagues using twin data they demonstrated the application of this model to study the correlation in age of onset. The purpose of the current research is twofold: 1) to evaluate the statistical performance of the model as presented by Pickles and colleagues, and 2) to expand and evaluate the model in more applications, including both genetically informative data and other multivariate examples. Results evaluated from this study involve three areas of method performance: Type-I error rates, power, and parameter estimates under four different distributions (normal, Gamma-2, Gamma-6 and g-and-h) and four different sample sizes (n = 125, 250, 500 and 750). Results based on the original Pickles model indicated that in all sample size and distribution conditions the Type-I error rate was adequate, in fact below the nominal level of .05. Additionally, power was greater than .80 for sample sizes of 500 or more for all distribution conditions. Parameter estimates were upwardly biased when the population value was ρ = .20. This bias varied across distributions; the g-and-h distribution showed the largest bias. Results from the expanded model indicated that Type-I error rates were adequate. Power results were not affected by distribution type; sample sizes of 500 were above the .80 level. Parameter estimates continued to be upwardly biased in this more general model, although the degree of bias was smaller. Plenum Publishing Corporation, 2000 Structural equation modeling nationallicence survival analysis genetically informative data nationallicence power nationallicence Type I error nationallicence Posner Samuel Department Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco aut Baker Laura Department of Psychology, University of Southern California, USA aut Behavior Genetics Kluwer Academic Publishers-Plenum Publishers 30/1(2000-01-01), 41-50 0001-8244 30:1<41 2000 30 10519 https://doi.org/10.1023/A:1002086526693 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1002086526693 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Posner Samuel Department Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco aut NATIONALLICENCE 700 1- Baker Laura Department of Psychology, University of Southern California, USA aut NATIONALLICENCE 773 0- Behavior Genetics Kluwer Academic Publishers-Plenum Publishers 30/1(2000-01-01), 41-50 0001-8244 30:1<41 2000 30 10519 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer