Empirical Bayes Estimation of Individual Growth-Curve Parameters and Their Relationship to Covariates Export

@article{citeulike:5031903, abstract = {The analysis of growth curves has long been important in biostatistics. Work has focused on two problems: the estimation of individual curves based on many data points, and the estimation of the mean growth curve for a group of individuals. This paper extends a recent approach that seeks to combine data from a group of individuals in order to improve the estimates of individual growth parameters. Growth is modeled as polynomial in time, and the group model is also linear, incorporating growth-related covariates into the model. The estimation used is empirical Bayes. The estimation formulas are illustrated with a set of data on rat growth, originally presented by Box (1950, Biometrics 6, 362-389).}, author = {Strenio, Judith F. and Weisberg, Herbert I. and Bryk, Anthony S.}, citeulike-article-id = {5031903}, citeulike-linkout-0 = {http://dx.doi.org/10.2307/2530808}, citeulike-linkout-1 = {http://www.jstor.org/stable/2530808}, doi = {10.2307/2530808}, issn = {0006341X}, journal = {Biometrics}, keywords = {growth\_curves}, number = {1}, pages = {71--86}, posted-at = {2009-07-01 11:42:16}, priority = {2}, publisher = {International Biometric Society}, title = {Empirical Bayes Estimation of Individual Growth-Curve Parameters and Their Relationship to Covariates}, url = {http://dx.doi.org/10.2307/2530808}, volume = {39}, year = {1983} }

TY - JOUR ID - citeulike:5031903 L3 - citeulike-article-id:5031903 N2 - The analysis of growth curves has long been important in biostatistics. Work has focused on two problems: the estimation of individual curves based on many data points, and the estimation of the mean growth curve for a group of individuals. This paper extends a recent approach that seeks to combine data from a group of individuals in order to improve the estimates of individual growth parameters. Growth is modeled as polynomial in time, and the group model is also linear, incorporating growth-related covariates into the model. The estimation used is empirical Bayes. The estimation formulas are illustrated with a set of data on rat growth, originally presented by Box (1950, Biometrics 6, 362-389). IS - 1 JF - Biometrics SN - 0006341X EP - 86 TI - Empirical Bayes Estimation of Individual Growth-Curve Parameters and Their Relationship to Covariates PB - International Biometric Society VL - 39 SP - 71 KW - growth_curves AU - Strenio, Judith AU - Weisberg, Herbert AU - Bryk, Anthony PY - 1983/// UR - http://dx.doi.org/10.2307/2530808 ER -