INTRODUCTION The aim of this study was to develop an empirical approach to classifying patients with transthyretin amyloidosis (ATTR) based on clinical signs and symptoms. METHODS Data from 971 symptomatic subjects enrolled in the Transthyretin Amyloidosis Outcomes Survey were analyzed using a latent class analysis approach. Differences in health status measures for the latent classes were ex...

1. muldo(p1,p2,[x,∂x]|lim=n) または muldo(p1,p2,x|lim=n) muldo(p1,p2,[[x1,∂x1],[x2,∂x2],. . .]|lim=n) :: 有理函数(初等函数でもよい)係数の常(または偏)微分作用素(の行列)の積 (⇐ [∂x, x] = 1) 2. muledo(p1,p2,[x,∂x]) または muledo(p1,p2,x) :: Euler型常微分作用素(の行列)の積 (⇐ [∂x, x] = x) 3. transpdo(p,[[x1,∂x1],[x2,∂x2],. . .],[[y1,∂y1],[y2,∂y2],. . .]|ex=1) :: 微分作用素の変換(xi 7→ yi = yi(x), ∂xj 7→ ∂yj = cj(x) + ∑ ν ajν(x) ∂xν) 4. translpdo(p,[[x1,...

Latent class analysis (LCA) has been used to model measurement error, to identify flawed survey questions, and to compare mode effects. Using data from NSFG Cycle 6, we examined the measurement error properties of responses to questions asked in two different modes (CAPI and ACASI). To evaluate mode effects within LCA strong assumptions need to be made about prevalence and response error rates ...

The Liechtenstein Institute on Self-Determination at Princeton University (LISD) convened a special seminar, “Grand Strategy and Self-Determination,” at Princeton University’s Woodrow Wilson School of Public and International Affairs on November 19-20, 2014. This Liechtenstein Colloquium (LCM) commemorated the twenty-year anniversary of the Liechtenstein Initiative on the study of self-determin...

The purpose of the current project is to present three empirical studies that illustrate the application of advanced latent class modeling techniques for crosssectional and longitudinal data to research questions about gambling and substance use. The first empirical study used latent class analysis and conditional latent class analysis to identify and predict types of college-student gamblers u...