5 Analysis of longitudinal data
暂无分享,去创建一个
[1] E. Vonesh,et al. Efficient inference for random-coefficient growth curve models with unbalanced data. , 1987, Biometrics.
[2] C. R. Rao,et al. Least squares theory using an estimated dispersion matrix and its application to measurement of signals , 1967 .
[3] J. Hart,et al. Kernel Regression Estimation Using Repeated Measurements Data , 1986 .
[4] R W Helms,et al. Intentionally incomplete longitudinal designs: I. Methodology and comparison of some full span designs. , 1992, Statistics in medicine.
[5] L.C.A. Corsten,et al. Reconciliation of two different views on estimation of growth curve parameters , 1978 .
[6] K Y Liang,et al. Longitudinal data analysis for discrete and continuous outcomes. , 1986, Biometrics.
[7] J. Singer,et al. On the Choice of Appropriate Error Terms in Profile Analysis , 1994 .
[8] S. Zeger,et al. Longitudinal data analysis using generalized linear models , 1986 .
[9] Model selection techniques for the covariance matrix for incomplete longitudinal data. , 1995, Statistics in medicine.
[10] D. Gamerman,et al. Dynamic Hierarchical Models , 1993 .
[11] Pranab Kumar Sen,et al. Large Sample Methods in Statistics: An Introduction with Applications , 1993 .
[12] M. Feinleib,et al. Statistical Models for Longitudinal Studies of Health , 1992 .
[13] J. S. Williams,et al. A class of linear spectral models and analyses for the study of longitudinal data. , 1989, Biometrics.
[14] Peter J. Diggle,et al. Testing for random dropouts in repeated measurement data. , 1989 .
[15] Anthony C. Atkinson,et al. Optimum Experimental Designs , 1992 .
[16] N M Laird,et al. Missing data in longitudinal studies. , 1988, Statistics in medicine.
[17] R. Kass,et al. Approximate Bayesian Inference in Conditionally Independent Hierarchical Models (Parametric Empirical Bayes Models) , 1989 .
[18] Jane F. Pendergast,et al. Robust estimation in growth curve models , 1985 .
[19] D. Kleinbaum. A generalization of the growth curve model which allows missing data , 1973 .
[20] Michael G. Kenward,et al. A Method for Comparing Profiles of Repeated Measurements , 1987 .
[21] John Wishart,et al. GROWTH-RATE DETERMINATIONS IN NUTRITION STUDIES WITH THE BACON PIG, AND THEIR ANALYSIS , 1938 .
[22] J. Ware,et al. Random-effects models for longitudinal data. , 1982, Biometrics.
[23] Gregory C. Reinsel,et al. Mean Squared Error Properties of Empirical Bayes Estimators in a Multivariate Random Effects General Linear Model , 1985 .
[24] G. Box. Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, II. Effects of Inequality of Variance and of Correlation Between Errors in the Two-Way Classification , 1954 .
[25] Jack C. Lee. Prediction and estimation of growth curves with special covariance structures , 1988 .
[26] M. Kenward,et al. Informative dropout in longitudinal data analysis (with discussion) , 1994 .
[27] Calyampudi R. Rao,et al. The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves. , 1965, Biometrika.
[28] Martijn P. F. Berger,et al. A Comparison of Efficiencies of Longitudinal, Mixed Longitudinal, and Cross-Sectional Designs , 1986 .
[29] E. Vonesh,et al. Linear and Nonlinear Models for the Analysis of Repeated Measurements , 1996 .
[30] R. Weiss,et al. Residual plots for repeated measures. , 1992, Statistics in medicine.
[31] C. Radhakrishna Rao,et al. Linked cross-sectional study for determining norms and growth rates- a pilot survey on Indian school-going boys , 1966 .
[32] M. Kenward. The use of fitted higher-order polynomial coefficients as covariates in the analysis of growth curves. , 1985, Biometrics.
[33] K. Berk,et al. Computing for incomplete repeated measures. , 1987, Biometrics.
[34] Malay Ghosh,et al. Nonparametric Methods in Longitudinal Studies , 1973 .
[35] L B Sheiner,et al. Estimating population kinetics. , 1982, Critical reviews in biomedical engineering.
[36] M. Kenward,et al. Informative Drop‐Out in Longitudinal Data Analysis , 1994 .
[37] R. Helms,et al. ML estimation for the multivariate normal distribution with general linear model mea1 and linear-structure covariance matrix; one-population, complete-data case , 1986 .
[38] R. J. Boik. Interactions, Partial Interactions, and Interaction Contrasts in the Analysis of Variance , 1979 .
[39] P. Diggle. An approach to the analysis of repeated measurements. , 1988, Biometrics.
[40] D. Harville. Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems , 1977 .
[41] D. F. Morrison,et al. Multivariate Statistical Methods , 1968 .
[42] R. Maronna. Robust $M$-Estimators of Multivariate Location and Scatter , 1976 .
[43] David Machin. 385: ON A DESIGN PROBLEM IN GROWTH STUDIES , 1975 .
[44] Roderick J. A. Little,et al. Statistical Analysis with Missing Data , 1988 .
[45] D. M. Allen,et al. Analysis of growth and dose response curves. , 1969, Biometrics.
[46] Greg J. Duncan,et al. Issues of design and analysis of surveys across time , 1987 .
[47] Ronald W. Helms,et al. Maximum likelihood estimates in the multivariate normal with patterned mean and covariance via the em algorithm , 1984 .
[48] H. Müller. Nonparametric regression analysis of longitudinal data , 1988 .
[49] P. Diggle,et al. Analysis of Longitudinal Data. , 1997 .
[50] R. C. Elston,et al. Estimation of Time-Response Curves and Their Confidence Bands , 1962 .
[51] James R Murphy,et al. Nonlinear Regression Modelling , 1985 .
[52] John J. McArdle. Growth Curve Analysis , 2001 .
[53] G. Box,et al. Problems in the analysis of growth and wear curves. , 1950, Biometrics.
[54] G G Koch,et al. A general methodology for the analysis of experiments with repeated measurement of categorical data. , 1977, Biometrics.
[55] G. Reinsel,et al. Multivariate Repeated-Measurement or Growth Curve Models with Multivariate Random-Effects Covariance Structure , 1982 .
[56] John R. Nesselroade,et al. Longitudinal Research in the Study of Behavior and Development , 1979 .
[57] Harvey Goldstein,et al. The Design And Analysis Of Longitudinal Studies , 1979 .
[58] M. S. Bartlett,et al. Some examples of statistical methods of research in agriculture and applied biology , 1937 .
[59] D. Bates,et al. Approximations to the Log-Likelihood Function in the Nonlinear Mixed-Effects Model , 1995 .
[60] B Rosner,et al. Autoregressive modelling for the analysis of longitudinal data with unequally spaced examinations. , 1988, Statistics in medicine.
[61] Jeremy M. G. Taylor,et al. A Stochastic Model for Analysis of Longitudinal AIDS Data , 1994 .
[62] Robert F. Woolson,et al. Growth curve analysis of complete and incomplete longitudinal data , 1980 .
[63] R. C. Bose,et al. Essays in probability and statistics , 1971 .
[64] H. Rouanet,et al. COMPARISON BETWEEN TREATMENTS IN A REPEATED‐MEASUREMENT DESIGN: ANOVA AND MULTIVARIATE METHODS , 1970 .
[65] M-methods in growth curve analysis , 1986 .
[66] N. Laird,et al. Maximum likelihood computations with repeated measures: application of the EM algorithm , 1987 .
[67] Lewis B. Sheiner,et al. Heteroscedastic nonlinear regression , 1988 .
[68] R W Helms,et al. Maximum likelihood estimation for incomplete repeated-measures experiments under an ARMA covariance structure. , 1989, Biometrics.
[69] C. G. Khatri,et al. A note on a manova model applied to problems in growth curve , 1966 .
[70] M A Schork,et al. Sample sizes in the multivariate analysis of repeated measurements. , 1986, Biometrics.
[71] Farid Kianifard,et al. Models for Repeated Measurements , 2001, Technometrics.
[72] David J. Hand,et al. Analysis of Repeated Measures , 1990 .
[73] H. Huynh,et al. Conditions under Which Mean Square Ratios in Repeated Measurements Designs Have Exact F-Distributions , 1970 .
[74] C. Radhakrishna Rao,et al. Prediction of Future Observations in Growth Curve Models , 1987 .
[75] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[76] R. W. Wedderburn. Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method , 1974 .
[77] S. Geisser,et al. An Extension of Box's Results on the Use of the $F$ Distribution in Multivariate Analysis , 1958 .
[78] P. Albert,et al. Models for longitudinal data: a generalized estimating equation approach. , 1988, Biometrics.
[79] K. Liang,et al. Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests under Nonstandard Conditions , 1987 .
[80] R. Jennrich,et al. Unbalanced repeated-measures models with structured covariance matrices. , 1986, Biometrics.
[81] G. Box. Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification , 1954 .
[82] D. Bates,et al. Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data , 1988 .
[83] E. Vonesh,et al. Non-linear models for the analysis of longitudinal data. , 1992, Statistics in medicine.
[84] J. G. Rowell,et al. Analysing data with repeated observations on each experimental unit , 1976, The Journal of Agricultural Science.
[85] Donald F. Morrison,et al. The Optimal Spacing of Repeated Measurements , 1970 .
[86] Michael G. Akritas,et al. Fully Nonparametric Hypotheses for Factorial Designs I: Multivariate Repeated Measures Designs , 1994 .
[87] T. W. Anderson,et al. Statistical Inference about Markov Chains , 1957 .
[88] M. Knott,et al. Best linear unbiased predictor in the mixed model with incomplete data , 1998 .
[89] H. Huynh,et al. Estimation of the Box Correction for Degrees of Freedom from Sample Data in Randomized Block and Split-Plot Designs , 1976 .
[90] L. Allen,et al. A cautionary note on the use of autoregressive models in analysis of longitudinal data. , 1989, Statistics in medicine.
[91] R. Potthoff,et al. A generalized multivariate analysis of variance model useful especially for growth curve problems , 1964 .
[92] Donald B. Rubin,et al. Max-imum Likelihood from Incomplete Data , 1972 .
[93] Gregory C. Reinsel,et al. Estimation and Prediction in a Multivariate Random Effects Generalized Linear Model , 1984 .
[94] Richard H. Jones,et al. Longitudinal Data with Serial Correlation : A State-Space Approach , 1994 .
[95] T. Caliński,et al. A NOTE ON THE ANALYSIS OF COVARIANCE: EFFICIENCY OF CONCOMITANT VARIABLES , 1989 .
[96] D. Stram,et al. Variance components testing in the longitudinal mixed effects model. , 1994, Biometrics.
[97] K. Gabriel,et al. Ante-dependence Analysis of an Ordered Set of Variables , 1962 .
[98] J. Singer,et al. Profile analysis for randomized complete block experiments , 1998 .
[99] Calyampudi R. Rao. SOME PROBLEMS INVOLVING LINEAR HYPOTHESES IN MULTIVARIATE ANALYSIS , 1959 .
[100] Julio M. Singer,et al. Regression Models for the Analysis of Pretest/Posttest Data , 1997 .