Search Results

Author: Jones, Alison Snow
Resulting in 5 citations.
1. Ip, Edward Hak-Sing
Jones, Alison Snow
Zhang, Qiang
Rijmen, Frank
Mixed-effects Hidden Markov Model
Working Paper, Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest University School of Medicine, September 21, 2007.
Also: http://www.phs.wfubmc.edu/public/downloads/MHMM_Ip.pdf
Cohort(s): Children of the NLSY79
Publisher: Wake Forest University School of Medicine
Keyword(s): Behavior Problems Index (BPI); Home Observation for Measurement of Environment (HOME); Markov chain / Markov model; Modeling, Mixed Effects; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading)

Permission to reprint the abstract has not been received from the publisher.

In this paper, we develop a method - the Mixed-effects Hidden Markov Model (MHMM) - for analyzing multiple outcomes in a longitudinal context and for examining the covariates impact on HMM parameters. MHMM embeds a Generalized Linear Mixed Model (GLMM) into a HMM structure, and treat any one of the three sets of HMM parameters, i.e. prior probabilities, transition probabilities and conditional probabilities, as predicted variables. We present the overall likelihood function and its simplified forms, and estimate the parameters through an EM algorithm. The convergence of the algorithm and the model identifiability is also briefly discussed.MHMM is applied to a sample of young children drawn from the National Longitudinal Survey of Youth (NLSY).
Bibliography Citation
Ip, Edward Hak-Sing, Alison Snow Jones, Qiang Zhang and Frank Rijmen. "Mixed-effects Hidden Markov Model." Working Paper, Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest University School of Medicine, September 21, 2007.
2. Ip, Edward Hak-Sing
Jones, Alison Snow
Zhang, Qiang
Rijmen, Frank
Temporal Configuration Analysis of Developmental Trajectories in Young Children of Heavy Episodic Drinking Mothers
Working Paper, Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest University School of Medicine, 2006.
Also: http://www.phs.wfubmc.edu/public/downloads/NLSY_Ip.pdf
Cohort(s): Children of the NLSY79
Publisher: Wake Forest University School of Medicine
Keyword(s): Alcohol Use; Behavior Problems Index (BPI); Home Observation for Measurement of Environment (HOME); Markov chain / Markov model; Modeling, Mixed Effects; Mothers, Behavior; Mothers, Health; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading); Statistical Analysis

Permission to reprint the abstract has not been received from the publisher.

Most models for longitudinal analysis focus on a single outcome variable. In this paper, we develop a method for examining patterns of evolution of cognitive and behavioral profiles of children of heavy episodic drinking (HED) mothers. A developmental profile contains multiple outcome variables. Our objectives are to delineate clusters of outcome trajectories and to study the effect of maternal HED on these trajectories. Several analytical methods, including the functional principal component analysis and the K-mean algorithm, are adapted to achieve this aim. The proposed method, which we call Temporal Configuration Analysis (TCA), is applied to a sample of young children drawn from the National Longitudinal Survey of Youth (NLSY). While most of our results are consistent with previous findings, we demonstrate how the method can lead to nuanced yet important differences in developmental trajectories for children of HED mothers.
Bibliography Citation
Ip, Edward Hak-Sing, Alison Snow Jones, Qiang Zhang and Frank Rijmen. "Temporal Configuration Analysis of Developmental Trajectories in Young Children of Heavy Episodic Drinking Mothers." Working Paper, Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest University School of Medicine, 2006.
3. Jones, Alison Snow
Maternal Alcohol Abuse/Dependence, Children's Behavior Problems, and Home Environment: Estimates from the National Longitudinal Survey of Youth Using Propensity Score Matching
Journal of Studies on Alcohol and Drugs 68,2 (March 2007): 266-275.
Also: http://www.jsad.com/jsad/article/Maternal_Alcohol_AbuseDependence_Childrens_Behavior_Problems_and_Home_E/2118.html
Cohort(s): Children of the NLSY79, NLSY79
Publisher: Center of Alcohol Studies, Rutgers University
Keyword(s): Alcohol Use; Behavior Problems Index (BPI); Diagnostic and Statistical Manual of Mental Disorders; Home Observation for Measurement of Environment (HOME); Life Cycle Research; Mothers; Propensity Scores

Permission to reprint the abstract has not been received from the publisher.

Objective: Propensity score (PS) matching was used to investigate the relationship between maternal alcohol abuse (AA) and alcohol dependence (AD), based on Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, criteria and three child outcomes: child behavior problems and two characteristics of the child's home environment as measured by the Home Observation and Measurement of the Environment-Short Form, cognitive stimulation and emotional support. Method: A cohort of children (N 2,193; 49% female) whose mothers were drawn from the 1994 National Longitudinal Survey of Youth were stratified by gender and matched on maternal propensity to exhibit AA or AD. Results: After matching, sons of mothers with AA/AD had higher behavior problem scores (p .05), and daughters of mothers with AA/AD lived in homes with significantly less emotional support (p .05) and cognitive stimulation (p .005). Results were robust to alternative specifications of PS regressions. Conclusions: The findings suggest that policies aimed at reducing AA and AD among young adult women with children are justified. PS matched results also suggest that school counselors and mental health providers who encounter young boys with elevated behavior problems should consider maternal AA/AD as one possible causal factor. Future research should be directed toward understanding the trajectory of these outcomes and their sequelae over the child's life cycle and toward developing improved methods of identifying and intervening with at-risk children of both genders and their mothers. (J. Stud. Alcohol Drugs 68: 266-275, 2007) [ABSTRACT FROM AUTHOR]

Copyright of Journal of Studies on Alcohol & Drugs is the property of Alcohol Research Documentation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be a bridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts)

Bibliography Citation
Jones, Alison Snow. "Maternal Alcohol Abuse/Dependence, Children's Behavior Problems, and Home Environment: Estimates from the National Longitudinal Survey of Youth Using Propensity Score Matching." Journal of Studies on Alcohol and Drugs 68,2 (March 2007): 266-275.
4. Jones, Alison Snow
Richmond, David W.
Causal Effects of Alcoholism on Earnings: Estimates from the NLSY
Health Economics 15,8 (March 2006): 849-871.
Also: http://onlinelibrary.wiley.com/doi/10.1002/hec.1109/abstract
Cohort(s): NLSY79
Publisher: Wiley Online
Keyword(s): Alcohol Use; Earnings; Job Productivity; Labor Force Participation; Propensity Scores

Permission to reprint the abstract has not been received from the publisher.

Propensity score matching is used to investigate the causal relationship between alcoholism and earnings in a young cohort of males and females drawn from the 1989 and 1994 National Longitudinal Survey of Youth (NLSY) in order to investigate productivity losses attributed to alcoholism and to quantify these effects. Results suggest that there are productivity losses attributable to alcoholism; that they become more pronounced over the life cycle; and that they differ between men and women. Ways in which estimates from propensity score matching may or may not improve on instrumental variables estimates are discussed. Copyright (c) 2006 John Wiley & Sons, Ltd.
Bibliography Citation
Jones, Alison Snow and David W. Richmond. "Causal Effects of Alcoholism on Earnings: Estimates from the NLSY." Health Economics 15,8 (March 2006): 849-871.
5. Zhang, Qiang
Jones, Alison Snow
Rijmen, Frank
Ip, Edward Hak-Sing
Multivariate Discrete Hidden Markov Models for Domain-Based Measurements and Assessment of Risk Factors in Child Development
Journal of Computational and Graphical Statistics 19,3 (September 2010): 746-765.
Also: http://pubs.amstat.org/doi/abs/10.1198/jcgs.2010.09015
Cohort(s): Children of the NLSY79, NLSY79
Publisher: American Statistical Association
Keyword(s): Alcohol Use; Behavior Problems Index (BPI); Child Development; Cognitive Ability; Home Observation for Measurement of Environment (HOME); Markov chain / Markov model; Modeling, Mixed Effects; Modeling, Random Effects; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading)

Many studies in the social and behavioral sciences involve multivariate discrete measurements, which are often characterized by the presence of an underlying individual trait, the existence of clusters such as domains of measurements, and the availability of multiple waves of cohort data. Motivated by an application in child development, we propose a class of extended multivariate discrete hidden Markov models for analyzing domain-based measurements of cognition and behavior. A random effects model is used to capture the long-term trait. Additionally, we develop a model selection criterion based on the Bayes factor for the extended hidden Markov model. The National Longitudinal Survey of Youth (NLSY) is used to illustrate the methods. Supplementary technical details and computer codes are available online. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computational & Graphical Statistics is the property of American Statistical Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Bibliography Citation
Zhang, Qiang, Alison Snow Jones, Frank Rijmen and Edward Hak-Sing Ip. "Multivariate Discrete Hidden Markov Models for Domain-Based Measurements and Assessment of Risk Factors in Child Development." Journal of Computational and Graphical Statistics 19,3 (September 2010): 746-765.