Predicting birth weight with conditionally linear transformation models

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Predicting birth weight with conditionally linear transformation models.

Low and high birth weight (BW) are important risk factors for neonatal morbidity and mortality. Gynecologists must therefore accurately predict BW before delivery. Most prediction formulas for BW are based on prenatal ultrasound measurements carried out within one week prior to birth. Although successfully used in clinical practice, these formulas focus on point predictions of BW but do not sys...

متن کامل

Conditionally Linear Mixed-Effects Models With Latent Variable Covariates

A version of the nonlinear mixed-effects model is presented that allows random effects only on the linear coefficients. Nonlinear parameters are not stochastic. In nonlinear regression, this kind of model has been called conditionally linear. As a mixed-effects model, this structure is more flexible than the popular linear mixed-effects model, while being nearly as straightforward to estimate. ...

متن کامل

Predicting Factors of INSURE Failure in Low Birth Weight Neonates with RDS; A Logistic Regression Model

Background:Respiratory Distress syndrome is the most common respiratory disease in premature neonate and the most important cause of death among them. We aimed to investigate factors to predict successful or failure of INSURE method as a therapeutic method of RDS.Methods:In a cohort study,45 neonates with diagnosed RDS and birth weight lower than 1500g were included and they underwent INSURE fo...

متن کامل

Covariance Estimation for Multivariate Conditionally Gaussian Dynamic Linear Models

In multivariate time series, the estimation of the covariance matrix of the observation innovations plays an important role in forecasting as it enables the computation of the standardized forecast error vectors as well as it enables the computation of confidence bounds of the forecasts. We develop an on-line, non-iterative Bayesian algorithm for estimation and forecasting. It is empirically fo...

متن کامل

Exact filtering in conditionally Markov switching hidden linear models

Article history: Received 3 September 2010 Accepted after revision 7 February 2011 Available online 12 April 2011 Presented by Paul Deheuvels In the classical setup of Markov switching hidden linear systems, the exact evaluation of optimal filters requires computations with complexity increasing exponentially with respect to the number of observations. In the present article, we propose a new f...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Statistical Methods in Medical Research

سال: 2016

ISSN: 0962-2802,1477-0334

DOI: 10.1177/0962280214532745