Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 11 - 20
of
202,989
SIMULTANEOUS CONFIDENCE BANDS FOR NONPARAMETRIC REGRESSION WITH REPEATED MEASUREMENTS DATA
, 908
"... Abstract. We look into nonparametric regression with repeated measurements collected on a fine grid. An asymptotic normality result is obtained in a function space equipped with the supremum norm. This result can be used to build simultaneous confidence bands (SCB) for various tasks in statistical e ..."
Abstract
-
Cited by 15 (2 self)
- Add to MetaCart
Abstract. We look into nonparametric regression with repeated measurements collected on a fine grid. An asymptotic normality result is obtained in a function space equipped with the supremum norm. This result can be used to build simultaneous confidence bands (SCB) for various tasks in statistical
A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data
- Psychometrika
, 2009
"... Correspondence and requests for reprints should be sent to Zita Oravecz, Research group ..."
Abstract
-
Cited by 14 (4 self)
- Add to MetaCart
Correspondence and requests for reprints should be sent to Zita Oravecz, Research group
Imputing missing repeated measures data: how should we proceed
- Australian and New Zealand Journal of Psychiatry
"... we proceed? ..."
DIFFERENT METHODS OF ANALYZING MULTIPLE SAMPLES REPEATED MEASURES DATA
, 2012
"... Three methods of analysis viz. Standard ANOVA, Repeated Measures ANOVA and Linear Mixed Model were used to analyze two sets of data due to Cole and Grizzle (1966) and Crowder and Hand (1990) by using SAS 9.2. Four groups of dogs (dataset 1) were found to differ significantly with respect to blood hi ..."
Abstract
- Add to MetaCart
Three methods of analysis viz. Standard ANOVA, Repeated Measures ANOVA and Linear Mixed Model were used to analyze two sets of data due to Cole and Grizzle (1966) and Crowder and Hand (1990) by using SAS 9.2. Four groups of dogs (dataset 1) were found to differ significantly with respect to blood
EDUCATION CORNER Fixed effects analysis of repeated measures data
, 2013
"... The analysis of repeated measures or panel data allows control of some of the biases which plague other observational studies, par-ticularly unmeasured confounding. When this bias is suspected, and the research question is: ‘Does a change in an exposure cause a change in the outcome?’, a fixed effec ..."
Abstract
- Add to MetaCart
The analysis of repeated measures or panel data allows control of some of the biases which plague other observational studies, par-ticularly unmeasured confounding. When this bias is suspected, and the research question is: ‘Does a change in an exposure cause a change in the outcome?’, a fixed
Joint and Conditional Models for Repeated Measures Data with a Time Varying Covariate
"... this paper, we consider the situation where we have two time-varying measurements Y i and W i plus other covariates X i . In most analyses, one repeated measure Y i ; n \Theta 1 is treated as the dependent variable, and its relation to W i is explored by treating W i and X i equivalently as covariat ..."
Abstract
- Add to MetaCart
this paper, we consider the situation where we have two time-varying measurements Y i and W i plus other covariates X i . In most analyses, one repeated measure Y i ; n \Theta 1 is treated as the dependent variable, and its relation to W i is explored by treating W i and X i equivalently
Analyzing Incomplete Binary Repeated Measures Data Using SAS®
"... This paper presents a case study in longitudinal data analysis where the goal is to estimate the efficacy of a new drug for treatment of MDD. Data characteristic indicate: 1. Subjects from different treatment groups drop out differentially across time. 2. There are a high proportion of subjects who ..."
Abstract
- Add to MetaCart
This paper presents a case study in longitudinal data analysis where the goal is to estimate the efficacy of a new drug for treatment of MDD. Data characteristic indicate: 1. Subjects from different treatment groups drop out differentially across time. 2. There are a high proportion of subjects who
doi: 10.3389/fpsyg.2010.00146 Discriminant analysis for repeated measures data: a review
, 2010
"... Discriminant analysis (DA) encompasses procedures for classifying observations into groups (i.e., predictive discriminative analysis) and describing the relative importance of variables for distinguishing amongst groups (i.e., descriptive discriminative analysis). In recent years, a number of develo ..."
Abstract
- Add to MetaCart
of developments have occurred in DA procedures for the analysis of data from repeated measures designs. Specifically, DA procedures have been developed for repeated measures data characterized by missing observations and/or unbalanced measurement occasions, as well as high-dimensional data in which measurements
L-statistics for Repeated Measurements Data With Application to Trimmed Means, Quantiles and Tolerance Intervals
"... The L-statistics form an important class of estimators in nonparametric statistics. Its members include trimmed means and sample quantiles and functions thereof. This article is devoted to theory and applications of L-statistics for repeated measurements data, wherein the measurements on the same su ..."
Abstract
- Add to MetaCart
The L-statistics form an important class of estimators in nonparametric statistics. Its members include trimmed means and sample quantiles and functions thereof. This article is devoted to theory and applications of L-statistics for repeated measurements data, wherein the measurements on the same
Tandem repeats finder: a program to analyze DNA sequences
, 1999
"... A tandem repeat in DNA is two or more contiguous, approximate copies of a pattern of nucleotides. Tandem repeats have been shown to cause human disease, may play a variety of regulatory and evolutionary roles and are important laboratory and analytic tools. Extensive knowledge about pattern size, co ..."
Abstract
-
Cited by 961 (9 self)
- Add to MetaCart
, copy number, mutational history, etc. for tandem repeats has been limited by the inability to easily detect them in genomic sequence data. In this paper, we present a new algorithm for finding tandem repeats which works without the need to specify either the pattern or pattern size. We model tandem
Results 11 - 20
of
202,989
