Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
202,989
Nonlinear Models for Repeated Measurement Data
, 1995
"... Nonlinear mixed effects models for data in the form of continuous, repeated measurements on each of a number of individuals, also known as hierarchical nonlinear models, are a popular platform for analysis when interest focuses on individual-specific characteristics. This framework first enjoyed wid ..."
Abstract
-
Cited by 338 (9 self)
- Add to MetaCart
Nonlinear mixed effects models for data in the form of continuous, repeated measurements on each of a number of individuals, also known as hierarchical nonlinear models, are a popular platform for analysis when interest focuses on individual-specific characteristics. This framework first enjoyed
MULTIVARIATE ANALYSIS OF REPEATED MEASURES DATA
, 2011
"... In this paper, we have used SAS software for the multivariate analysis of repeated measures data due to Grizzel and Allen (1969). We have applied four multivariate methods viz MANOVA, Profile Analysis, non-parametric multisample rank sum test and non-parametric multisample median test to analyse two ..."
Abstract
- Add to MetaCart
In this paper, we have used SAS software for the multivariate analysis of repeated measures data due to Grizzel and Allen (1969). We have applied four multivariate methods viz MANOVA, Profile Analysis, non-parametric multisample rank sum test and non-parametric multisample median test to analyse
of Two Tests for Repeated Measures Data
"... In analyzing exploratory repeated measures data with more than two measures, two competing tests must be administered simultaneously if one is to make an efficient and effective decision regarding the tenability of the null hypothesis of no differences among measurement means. Obviously, such a proc ..."
Abstract
- Add to MetaCart
In analyzing exploratory repeated measures data with more than two measures, two competing tests must be administered simultaneously if one is to make an efficient and effective decision regarding the tenability of the null hypothesis of no differences among measurement means. Obviously, such a
Statistical modelling of repeated measurement data
"... This tutorial describes ways of modelling repeated measurements taken on a sample of individuals. It gives a brief historical introduction and then describes how a 2-level formulation provides a flexible and straightforward approach. ..."
Abstract
- Add to MetaCart
This tutorial describes ways of modelling repeated measurements taken on a sample of individuals. It gives a brief historical introduction and then describes how a 2-level formulation provides a flexible and straightforward approach.
Exploratory Data Graphics for Repeated Measures Data
"... Repeated measures (RM) is a common data structure in many fields. They are a special form of multivariate data that makes multivariate graphics both practical and useful. A set of basic graphics for RM data is introduced in the context of small to moderately sized balanced data sets where a random e ..."
Abstract
-
Cited by 1 (1 self)
- Add to MetaCart
Repeated measures (RM) is a common data structure in many fields. They are a special form of multivariate data that makes multivariate graphics both practical and useful. A set of basic graphics for RM data is introduced in the context of small to moderately sized balanced data sets where a random
Analyzing Ordinal Repeated Measures Data Using SAS®
"... This paper provides a brief review of commonly used statistical methods for analyses of ordinal response data. Generalized CMH Score Tests of Marginal Homogeneity, GEE, and random-intercepts logistic regression ordinal model for analysis of repeated ordinal response data will be particularly discuss ..."
Abstract
- Add to MetaCart
This paper provides a brief review of commonly used statistical methods for analyses of ordinal response data. Generalized CMH Score Tests of Marginal Homogeneity, GEE, and random-intercepts logistic regression ordinal model for analysis of repeated ordinal response data will be particularly
Causal Inferences from repeated measures data by
"... The multivariate repeated measures model Suppose we have several measurements made at each occasion for a sample of individuals. These might be, say, blood pressures, anthropometry, ventricular mass, diet etc. We are interested in asking questions about the causal priority or sequence, for example w ..."
Abstract
- Add to MetaCart
The multivariate repeated measures model Suppose we have several measurements made at each occasion for a sample of individuals. These might be, say, blood pressures, anthropometry, ventricular mass, diet etc. We are interested in asking questions about the causal priority or sequence, for example
Analysing repeated measures data in cognitive research: A
"... comment on regression coefficient analyses ..."
Printed in Great Britain Rank-based regression with repeated measurements data
"... A rank-based regression method is proposed for repeated measurements data. It is a generalisation of the classical Wilcoxon–Mann–Whitney rank statistic for independent observations. The method is valid under a weak condition on the error terms that can accommodate certain heteroscedasticity and with ..."
Abstract
- Add to MetaCart
A rank-based regression method is proposed for repeated measurements data. It is a generalisation of the classical Wilcoxon–Mann–Whitney rank statistic for independent observations. The method is valid under a weak condition on the error terms that can accommodate certain heteroscedasticity
Linear Models for Multivariate Repeated Measures Data Linear Models for Multivariate Repeated Measures Data
, 2010
"... Copyright © 2010, by the author(s). Please do not quote, cite, or reproduce without permission from the author(s). ..."
Abstract
- Add to MetaCart
Copyright © 2010, by the author(s). Please do not quote, cite, or reproduce without permission from the author(s).
Results 1 - 10
of
202,989
