Emet D Schneiderman
Biographic Data
| ID | 4284674 |
|---|---|
| NAME | Emet D Schneiderman |
| GIVEN NAMES | Emet D |
| FAMILY NAME | Schneiderman |
| SIGNATURE | SCHNEIDERMAN E D |
| AFFILIATIONS | Baylor College of Medicine |
| ORCID | 0000-0001-5183-6578 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1985 |
| LATEST PUBLICATION YEAR | 1992 |
| H-INDEX | 1 |
PC program for obtaining orthogonal polynomial regression coefficients for use in longitudinal data analysis
Much of longitudinal data analysis begins with dimensionality reduction, i.e., the replacement of the T observations x 1 , x 2 , ..., x T on an individual taken at times t 1 , t 2 , ..., t T (not necessarily equally spaced) by a smaller number, P, of parameters which are then used to describe and compare growth processes. We focus on the class of polynomial growth curve models for one‐sample data matrices in which the P regression coefficients ar…
PC program for comparing tracking indices in several independent groups
A method for computing a measure of tracking based on Cohen's kappa statistic for one-sample longitudinal data sets was previously described and implemented. This paper shows how one may test the equality of several kappas, each computed from an independent longitudinal sample. Thus, it is possible to formally compare groups of individuals with regard to stability in growth (or adaptive) patterns. Relative assessments of predictability in growth …
Computation of Foulkes and Davis' nonparametric tracking index using Gauss
Foulkes and Davis (1981) define tracking as the maintenance of relative rank over a given time span. This paper outlines the development of their statistic, based on a set of individual growth profiles, which estimates the degree of tracking observed in a one-sample longitudinal data set and shows how confidence intervals for the corresponding population parameter may be constructed. An example using a measure of skeletal growth is given and a GA…
Tracking
Tracking can be defined as the tendency of an individual, or a collection of individuals, to maintain a particular course of growth over time relative to other individuals. A measure of tracking based on Cohen's kappa statistic and the tracking indices proposed by Foulkes-Davis and McMahan are considered. Applications, including significance testing, are made to a study of the growth of Guatemalan school children whose stature was measured longit…
Two programs for performing multigroup longitudinal data analyses
No Abstract
PC program for analyzing one‐sample longitudinal data sets which satisfy the two‐stage polynomial growth curve model
The two‐stage polynomial growth curve model is described and a GAUSS program to perform the associated computations is documented and made available to interested readers. The two‐stage model is similar to that considered by us earlier (Schneiderman and Kowalski: American Journal of Physical Anthropology 67:323–333, 1985; American Journal of Human Biology 1:31–42, 1989), i.e., it is appropriate for the analysis of one‐sample longitudinal data col…
A Gauss program for computing an index of tracking from longitudinal observations
Tracking can be defined as the tendency of individuals or collections of individuals to stay within a particular course of growth over time relative to other individuals. Thus, tracking describes stability in growth patterns. This paper outlines a statistical procedure for examining tracking in a single sample of measurements made on humans or other animals. This nonparametric procedure, based on Cohen's (1960) kappa statistic, is suitable for eq…
Implementation of Hills' growth curve analysis for unequal‐time intervals using Gauss
Longitudinal data are widely regarded as the most efficient and informative type of data with which to investigate growth. Paradoxically, appropriate statistical methods for analyzing longitudinal data have been unavailable; with the exception of a computer program for executing Rao's (Biometrika 46: 49–58, 1959) one‐sample polynomial growth curve analysis (Schneiderman and Kowalski, Am. J. Phys. Anthropol. 67: 323–333, 1985) and another applying…
Implementation of Rao's one‐sample polynomial growth curve model using SAS
Longitudinal data are frequently treated with the classic analysis of variance and regression models. However, these models assume independence of observations. Hoel (1964) demonstrated that the use of least‐squares methods on intercorrelated serial observations results in the rejection of the null hypothesis much too frequently. Although appropriate models for analyzing longitudinal data have been available for quite some time, they have remaine…
Tracking
Tracking can be defined as the tendency of an individual, or a collection of individuals, to maintain a particular course of growth over time relative to other individuals. A measure of tracking based on Cohen's kappa statistic and the tracking indices proposed by Foulkes-Davis and McMahan are considered. Applications, including significance testing, are made to a study of the growth of Guatemalan school children whose stature was measured longit…
Two programs for performing multigroup longitudinal data analyses
No Abstract
Implementation of Rao's one‐sample polynomial growth curve model using SAS
Longitudinal data are frequently treated with the classic analysis of variance and regression models. However, these models assume independence of observations. Hoel (1964) demonstrated that the use of least‐squares methods on intercorrelated serial observations results in the rejection of the null hypothesis much too frequently. Although appropriate models for analyzing longitudinal data have been available for quite some time, they have remaine…
Implementation of Hills' growth curve analysis for unequal‐time intervals using Gauss
Longitudinal data are widely regarded as the most efficient and informative type of data with which to investigate growth. Paradoxically, appropriate statistical methods for analyzing longitudinal data have been unavailable; with the exception of a computer program for executing Rao's (Biometrika 46: 49–58, 1959) one‐sample polynomial growth curve analysis (Schneiderman and Kowalski, Am. J. Phys. Anthropol. 67: 323–333, 1985) and another applying…
A Gauss program for computing an index of tracking from longitudinal observations
Tracking can be defined as the tendency of individuals or collections of individuals to stay within a particular course of growth over time relative to other individuals. Thus, tracking describes stability in growth patterns. This paper outlines a statistical procedure for examining tracking in a single sample of measurements made on humans or other animals. This nonparametric procedure, based on Cohen's (1960) kappa statistic, is suitable for eq…
PC program for analyzing one‐sample longitudinal data sets which satisfy the two‐stage polynomial growth curve model
The two‐stage polynomial growth curve model is described and a GAUSS program to perform the associated computations is documented and made available to interested readers. The two‐stage model is similar to that considered by us earlier (Schneiderman and Kowalski: American Journal of Physical Anthropology 67:323–333, 1985; American Journal of Human Biology 1:31–42, 1989), i.e., it is appropriate for the analysis of one‐sample longitudinal data col…
PC program for obtaining orthogonal polynomial regression coefficients for use in longitudinal data analysis
Much of longitudinal data analysis begins with dimensionality reduction, i.e., the replacement of the T observations x 1 , x 2 , ..., x T on an individual taken at times t 1 , t 2 , ..., t T (not necessarily equally spaced) by a smaller number, P, of parameters which are then used to describe and compare growth processes. We focus on the class of polynomial growth curve models for one‐sample data matrices in which the P regression coefficients ar…
PC program for comparing tracking indices in several independent groups
A method for computing a measure of tracking based on Cohen's kappa statistic for one-sample longitudinal data sets was previously described and implemented. This paper shows how one may test the equality of several kappas, each computed from an independent longitudinal sample. Thus, it is possible to formally compare groups of individuals with regard to stability in growth (or adaptive) patterns. Relative assessments of predictability in growth …
Computation of Foulkes and Davis' nonparametric tracking index using Gauss
Foulkes and Davis (1981) define tracking as the maintenance of relative rank over a given time span. This paper outlines the development of their statistic, based on a set of individual growth profiles, which estimates the degree of tracking observed in a one-sample longitudinal data set and shows how confidence intervals for the corresponding population parameter may be constructed. An example using a measure of skeletal growth is given and a GA…
Tracking
Tracking can be defined as the tendency of an individual, or a collection of individuals, to maintain a particular course of growth over time relative to other individuals. A measure of tracking based on Cohen's kappa statistic and the tracking indices proposed by Foulkes-Davis and McMahan are considered. Applications, including significance testing, are made to a study of the growth of Guatemalan school children whose stature was measured longit…
Two programs for performing multigroup longitudinal data analyses
No Abstract
Mathematics (8 works) · Statistics (8 works) · Computer Science (7 works) · Combinatorics (5 works) · Confidence interval (5 works) · Statistical Methods and Bayesian Inference (5 works) · Data mining (4 works) · Mathematical analysis (4 works) · Polynomial (4 works) · Psychology (4 works)