Related references
Note: Only part of the references are listed.Empirically-derived response trajectories of intensive residential treatment in obsessive-compulsive disorder: A growth mixture modeling approach
Martha J. Falkenstein et al.
JOURNAL OF AFFECTIVE DISORDERS (2019)
Catch-up growth, metabolic, and cardiovascular risk in post-institutionalized Romanian adolescents
Alva Tang et al.
PEDIATRIC RESEARCH (2018)
A Prospective Examination of Criminal Career Trajectories in Abused and Neglected Males and Females Followed Up into Middle Adulthood
Cathy Spatz Widom et al.
JOURNAL OF QUANTITATIVE CRIMINOLOGY (2018)
The impact of covariance misspecification in group-based trajectory models for longitudinal data with non-stationary covariance structure
Christopher E. Davies et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2017)
The GRoLTS-Checklist: Guidelines for Reporting on Latent Trajectory Studies
Rens van de Schoot et al.
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL (2017)
Toddler hand preference trajectories predict 3-year language outcome
Eliza L. Nelson et al.
DEVELOPMENTAL PSYCHOBIOLOGY (2017)
kmlShape: An Efficient Method to Cluster Longitudinal Data (Time-Series) According to Their Shapes
Christophe Genolini et al.
PLOS ONE (2016)
Association of Genetic Risk Variants With Attention-Deficit/Hyperactivity Disorder Trajectories in the General Population
Lucy Riglin et al.
JAMA PSYCHIATRY (2016)
Association of Picky Eating and Food Neophobia with Weight: A Systematic Review
Callie L. Brown et al.
CHILDHOOD OBESITY (2016)
Progressive Elaboration and Cross-Validation of a Latent Class Typology of Adolescent Alcohol Involvement in a National Sample
John E. Donovan et al.
JOURNAL OF STUDIES ON ALCOHOL AND DRUGS (2015)
Distinct trajectories of multimorbidity in primary care were identified using latent class growth analysis
Vicky Y. Strauss et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2014)
Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus
Tihomir Asparouhov et al.
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL (2014)
Cohort Profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort
Abigail Fraser et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2013)
Cohort Profile: The 'Children of the 90s'-the index offspring of the Avon Longitudinal Study of Parents and Children
Andy Boyd et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2013)
Heterogeneous trajectories of depressive symptoms: Adolescent predictors and adult outcomes
Ilya Yaroslavsky et al.
JOURNAL OF AFFECTIVE DISORDERS (2013)
The impact of covariance misspecification in multivariate Gaussian mixtures on estimation and inference: an application to longitudinal modeling
Brianna C. Heggeseth et al.
STATISTICS IN MEDICINE (2013)
A Note on a Stata Plugin for Estimating Group-based Trajectory Models
Bobby L. Jones et al.
SOCIOLOGICAL METHODS & RESEARCH (2013)
Factors Affecting the Adequacy and Preferability of Semiparametric Groups-Based Approximations of Continuous Growth Trajectories
Sonya K. Sterba et al.
MULTIVARIATE BEHAVIORAL RESEARCH (2012)
Kml: A package to cluster longitudinal data
Christophe Genolini et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2011)
The Role of Fat Mass Index in Determining Obesity
Gerson Peltz et al.
AMERICAN JOURNAL OF HUMAN BIOLOGY (2010)
Latent mixture models for multivariate and longitudinal outcomes
Andrew Pickles et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2010)
Group-Based Trajectory Modeling (Nearly) Two Decades Later
Daniel S. Nagin et al.
JOURNAL OF QUANTITATIVE CRIMINOLOGY (2010)
Latent Class Modeling with Covariates: Two Improved Three-Step Approaches
Jeroen K. Vermunt
POLITICAL ANALYSIS (2010)
Distinct trajectories of leisure time physical activity and predictors of trajectory class membership: a 22 year cohort study
Tracie A. Barnett et al.
INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY (2008)
An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling
Tony Jung et al.
SOCIAL AND PERSONALITY PSYCHOLOGY COMPASS (2008)
Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study
Karen L. Nylund et al.
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL (2007)
Analyzing developmental trajectories of distinct but related behaviors: A group-based method
DS Nagin et al.
PSYCHOLOGICAL METHODS (2001)
A SAS procedure based on mixture models for estimating developmental trajectories
BL Jones et al.
SOCIOLOGICAL METHODS & RESEARCH (2001)
The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models
Craig K. Enders et al.
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL (2001)
Share Paper
