Longitudinal Data Analysis. Handbooks of Modern Statistical Methods

[1]  T. Derouen,et al.  A Covariance Estimator for GEE with Improved Small‐Sample Properties , 2001, Biometrics.

[2]  P. J. Huber The behavior of maximum likelihood estimates under nonstandard conditions , 1967 .

[3]  S. Lipsitz,et al.  Estimating the variance of estimated trends in proportions when there is no unique subject identifier , 2007 .

[4]  Vincent J. Carey,et al.  Unbiased Estimating Equations From Working Correlation Models for Irregularly Timed Repeated Measures , 2004 .

[5]  M P Becker,et al.  Marginal modeling of binary cross-over data. , 1993, Biometrics.

[6]  L. Zhao,et al.  Correlated binary regression using a quadratic exponential model , 1990 .

[7]  Andrea Rotnitzky,et al.  Regression Models for Discrete Longitudinal Responses , 1993 .

[8]  S. Lipsitz,et al.  Performance of generalized estimating equations in practical situations. , 1994, Biometrics.

[9]  A. Tsiatis A note on a goodness-of-fit test for the logistic regression model , 1980 .

[10]  G. Koch,et al.  The analysis of categorical data from mixed models , 1971 .

[11]  G. Koch,et al.  Analysis of categorical data by linear models. , 1969, Biometrics.

[12]  W. Pan Akaike's Information Criterion in Generalized Estimating Equations , 2001, Biometrics.

[13]  A. Agresti,et al.  Simultaneously Modeling Joint and Marginal Distributions of Multivariate Categorical Responses , 1994 .

[14]  Myunghee C. Paik,et al.  Repeated measurement analysis for nonnormal data in small samples , 1988 .

[15]  S. Zeger,et al.  Marginal Regression Models for Clustered Ordinal Measurements , 1996 .

[16]  S. Lipsitz,et al.  Analysis of repeated categorical data using generalized estimating equations. , 1994, Statistics in medicine.

[17]  B. Qaqish,et al.  Deletion diagnostics for generalised estimating equations , 1996 .

[18]  R. W. Wedderburn Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method , 1974 .

[19]  Stuart R. Lipsitz,et al.  A Model for Binary Time Series Data with Serial Odds Ratio Patterns , 1995 .

[20]  M. Schluchter,et al.  Left ventricular structure and function in children infected with human immunodeficiency virus: the prospective P2C2 HIV Multicenter Study. Pediatric Pulmonary and Cardiac Complications of Vertically Transmitted HIV Infection (P2C2 HIV) Study Group. , 1998, Circulation.

[21]  S. Lipsitz,et al.  Generalized estimating equations for correlated binary data: Using the odds ratio as a measure of association , 1991 .

[22]  Z. Ying,et al.  Model‐Checking Techniques Based on Cumulative Residuals , 2002, Biometrics.

[23]  Wicher P. Bergsma,et al.  Marginal models for categorical data , 2002 .

[24]  Peter J. Bickel,et al.  INFERENCE FOR SEMIPARAMETRIC MODELS: SOME QUESTIONS AND AN ANSWER , 2001 .

[25]  P. Heagerty Marginally Specified Logistic‐Normal Models for Longitudinal Binary Data , 1999, Biometrics.

[26]  Jianxin Pan,et al.  Modelling of covariance structures in generalised estimating equations for longitudinal data , 2006 .

[27]  B. Lindsay,et al.  Improving generalised estimating equations using quadratic inference functions , 2000 .

[28]  Joseph G. Ibrahim,et al.  A Weighted Estimating Equation for Missing Covariate Data with Properties Similar to Maximum Likelihood , 1999 .

[29]  N. Jewell,et al.  Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data , 1990 .

[30]  Permutation invariance of alternating logistic regression for multivariate binary data , 2004 .

[31]  T. Lumley Generalized estimating equations for ordinal data: a note on working correlation structures. , 1996, Biometrics.

[32]  J. Lunceford,et al.  Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study , 2004, Statistics in medicine.

[33]  D L DeMets,et al.  A comparison of methods for correlated ordinal measures with ophthalmic applications. , 1995, Statistics in medicine.

[34]  J. Robins,et al.  Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models , 1999 .

[35]  R. Royall Model robust confidence intervals using maximum likelihood estimators , 1986 .

[36]  N M Laird,et al.  Missing data in longitudinal studies. , 1988, Statistics in medicine.

[37]  G Molenberghs,et al.  An application of maximum likelihood and generalized estimating equations to the analysis of ordinal data from a longitudinal study with cases missing at random. , 1994, Biometrics.

[38]  E. Orav,et al.  Cardiovascular status of infants and children of women infected with HIV-1 (P2C2 HIV): a cohort study , 2002, The Lancet.

[39]  John A. Nelder,et al.  Generalized linear models. 2nd ed. , 1993 .

[40]  S. Zeger,et al.  Multivariate Regression Analyses for Categorical Data , 1992 .

[41]  Scott L. Zeger,et al.  Marginalized Multilevel Models and Likelihood Inference , 2000 .

[42]  Y. Qu,et al.  Latent Variable Models for Clustered Dichotomous Data with Multiple Subclusters , 1992 .

[43]  G Molenberghs,et al.  GEE with Gaussian Estimation of the Correlations When Data Are Incomplete , 2000, Biometrics.

[44]  Thomas A. Severini,et al.  Extended Generalized Estimating Equations for Clustered Data , 1998 .

[45]  J. Robins,et al.  Doubly Robust Estimation in Missing Data and Causal Inference Models , 2005, Biometrics.

[46]  G Molenberghs,et al.  Bias in estimating association parameters for longitudinal binary responses with drop-outs. , 2001, Biometrics.

[47]  Martin Crowder,et al.  On the use of a working correlation matrix in using generalised linear models for repeated measures , 1995 .

[48]  N. Laird,et al.  A likelihood-based method for analysing longitudinal binary responses , 1993 .

[49]  D. Boos On Generalized Score Tests , 1992 .

[50]  K Y Liang,et al.  Longitudinal data analysis for discrete and continuous outcomes. , 1986, Biometrics.

[51]  Thomas A. Louis,et al.  Matching conditional and marginal shapes in binary random intercept models using a bridge distribution function , 2003 .

[52]  R. Prentice,et al.  Correlated binary regression with covariates specific to each binary observation. , 1988, Biometrics.

[53]  D. Cox Tests of Separate Families of Hypotheses , 1961 .

[54]  S. Lipsitz,et al.  Estimating equations for measures of association between repeated binary responses. , 1996, Biometrics.

[55]  Patrick J Heagerty,et al.  Marginalized Transition Models and Likelihood Inference for Longitudinal Categorical Data , 2002, Biometrics.

[56]  James M. Robins,et al.  Unified Methods for Censored Longitudinal Data and Causality , 2003 .

[57]  S. Zeger,et al.  Longitudinal data analysis using generalized linear models , 1986 .

[58]  P. McCullagh,et al.  Multivariate Logistic Models , 1995 .

[59]  H. Barnhart,et al.  Goodness-of-fit tests for GEE modeling with binary responses. , 1998, Biometrics.

[60]  G G Koch,et al.  A general methodology for the analysis of experiments with repeated measurement of categorical data. , 1977, Biometrics.

[61]  J. Robins,et al.  Analysis of semiparametric regression models for repeated outcomes in the presence of missing data , 1995 .

[62]  W. Hauck,et al.  Wald's Test as Applied to Hypotheses in Logit Analysis , 1977 .

[63]  Myunghee C. Paik,et al.  The generalized estimating equation approach when data are not missing completely at random , 1997 .

[64]  S. Lipsitz,et al.  A Three-stage Estimator for Studies with Repeated and Possibly Missing Binary Outcomes , 1992 .

[65]  D. Pregibon Logistic Regression Diagnostics , 1981 .

[66]  A. Azzalini Logistic regression for autocorrelated data with application to repeated measures , 1994 .

[67]  J. R. Landis,et al.  The analysis of longitudinal polytomous data: generalized estimating equations and connections with weighted least squares. , 1993, Biometrics.

[68]  N M Laird,et al.  Maximum likelihood regression methods for paired binary data. , 1990, Statistics in medicine.

[69]  M. Pepe,et al.  A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data , 1994 .

[70]  G. Molenberghs,et al.  Marginal Modeling of Correlated Ordinal Data Using a Multivariate Plackett Distribution , 1994 .

[71]  J. Ware,et al.  Random-effects models for longitudinal data. , 1982, Biometrics.

[72]  V. Carey,et al.  Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance , 2003 .

[73]  P. Diggle,et al.  Modelling multivariate binary data with alternating logistic regressions , 1993 .

[74]  D. Horvitz,et al.  A Generalization of Sampling Without Replacement from a Finite Universe , 1952 .

[75]  S. Colan,et al.  Cardiac Dysfunction and Mortality in HIV-Infected Children: The Prospective P2C2 HIV Multicenter Study , 2000, Circulation.

[76]  D. Rubin INFERENCE AND MISSING DATA , 1975 .