Multi-level models for longitudinal growth norms.
نویسندگان
چکیده
Multi-level models for estimating conditional and unconditional longitudinal growth norms are presented. The procedure involves transforming the original growth measurements to Normality and modelling these with a two-level random coefficient model. Growth norms for any desired time interval and function can be derived. Height and weight data are used for illustration.
منابع مشابه
A Longitudinal Growth Study from Birth to Maturity for Weight, Height and Head Circumference of Normal Iranian Children Compared with Western Norms: A Standard for Growth of Iranian Children
Background: At the present there is no growth reference for Iranian children, and cross-sectional studies indicate that Iranian children grow at a lower percentile curve than Western children.Aim: The present longitudinal study was undertaken: 1. To establish a growth standard for Iranian children and, 2. To compare their growth with Western norms. Methods: Weight, length, height, and head circ...
متن کاملTrends of Growth Rate among Iranian Infants: Comparison Exponential Model and Points Average Model and Related Factors
Background Childhood growth factors play an essential role in the process of child development. Providing an accurate measurement for determining the growth rate predictors longitudinally has an advantage over a growth chart that only measures cumulative growth. This study aimed to determine the trends in growth rate and its effective factors a...
متن کاملAnalyzing Longitudinal Data with Multilevel Models: An Example with Individuals Living with Lower Extremity Intra-articular Fractures.
The use and quality of longitudinal research designs has increased over the past two decades, and new approaches for analyzing longitudinal data, including multi-level modeling (MLM) and latent growth modeling (LGM), have been developed. The purpose of this paper is to demonstrate the use of MLM and its advantages in analyzing longitudinal data. Data from a sample of individuals with intra-arti...
متن کاملMANFIS Based Modeling and Prediction of the Driver-Vehicle Unit Behavior in Overtaking Scenarios
Overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. In this study, two novel prediction models for overtaking behavior are proposed. These models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (MANFIS). They are validated at microscopic level and are able to simulate and predict the fut...
متن کاملA Modified Discreet Particle Swarm Optimization for a Multi-level Emergency Supplies Distribution Network
Currently, the research of emergency supplies distribution and decision models mostly focus on deterministic models and exact algorithm. A few of studies have been done on the multi-level distribution network and matheuristic algorithm. In this paper, random processes theory is adopted to establish emergency supplies distribution and decision model for multi-level network. By analyzing the char...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Statistics in medicine
دوره 16 23 شماره
صفحات -
تاریخ انتشار 1997