Criminal Careers: Discrete or Continuous?
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[1] Ying Nian Wu,et al. Bayesian variable selection for finite mixture model of linear regressions , 2016, Comput. Stat. Data Anal..
[2] Alex R. Piquero,et al. How Do Criminologists Interpret Statistical Explanation of Crime? A Review of Quantitative Modeling in Published Studies , 2015 .
[3] John R Warren,et al. Do Different Methods for Modeling Age-Graded Trajectories Yield Consistent and Valid Results?1 , 2015, American Journal of Sociology.
[4] D. Nagin. Group-Based Trajectory Modeling: An Overview , 2014, Annals of Nutrition and Metabolism.
[5] E. Erosheva,et al. Breaking Bad: Two Decades of Life-Course Data Analysis in Criminology, Developmental Psychology, and Beyond , 2014 .
[6] Jeffrey S. Simonoff,et al. The SAGE Handbook of Multilevel Modeling , 2013 .
[7] Wesley G. Jennings,et al. On the number and shape of developmental/life-course violence, aggression, and delinquency trajectories: A state-of-the-art review , 2012 .
[8] A. Piquero,et al. Thoughts on the Analysis of Group-Based Developmental Trajectories in Criminology , 2012 .
[9] Daniel J. Bauer,et al. Factors Affecting the Adequacy and Preferability of Semiparametric Groups-Based Approximations of Continuous Growth Trajectories , 2012, Multivariate behavioral research.
[10] Daniel S. Nagin,et al. Group-Based Trajectory Modeling (Nearly) Two Decades Later , 2010, Journal of quantitative criminology.
[11] Richard A. Berk,et al. What You Can and Can’t Properly Do with Regression , 2010 .
[12] Wesley G. Jennings,et al. Assessing the Impact of Sex Offender Registration and Community Notification On Sex-Offending Trajectories , 2010 .
[13] D. Henderson. A Test for Multimodality of Regression Derivatives with an Application to Nonparametric Growth Regressions , 2010 .
[14] T. Skardhamar. DISTINGUISHING FACTS AND ARTIFACTS IN GROUP-BASED MODELING* , 2010 .
[15] T. Skardhamar. Reconsidering the Theory on Adolescent-Limited and Life-Course Persistent Anti-Social Behaviour , 2009 .
[16] D. Hunter,et al. mixtools: An R Package for Analyzing Mixture Models , 2009 .
[17] P. Nieuwbeerta,et al. Measuring Long Term Individual Trajectories of Offending Using Multiple Methods , 2009 .
[18] Katherine E. Masyn,et al. New approaches to studying problem behaviors: a comparison of methods for modeling longitudinal, categorical adolescent drinking data. , 2009, Developmental psychology.
[19] Heather Andruff,et al. Latent Class Growth Modelling: A Tutorial , 2009 .
[20] J. Neuhaus. The consequences of misspecifying the random-effects distribution when fitting generalized linear mixed models , 2008 .
[21] Lucia Zedner. :Against Prediction: Profiling, Policing, and Punishing in an Actuarial Age , 2008 .
[22] Frauke Kreuter,et al. Analyzing Criminal Trajectory Profiles: Bridging Multilevel and Group-based Approaches Using Growth Mixture Modeling , 2008 .
[23] Julie A. Phillips,et al. A Comparison of Methods for Analyzing Criminological Panel Data , 2008 .
[24] Ross Macmillan. Key Issues in Criminal Career Research: New Analyses of the Cambridge Study in Delinquent Development , 2008 .
[25] E. Glaeser,et al. Extremism and Social Learning , 2007 .
[26] Avi Sharma. Criminals and Their Scientists: The History of Criminology in International Perspective , 2007 .
[27] Tony O’Hagan. Bayes factors , 2006 .
[28] I. Chang. Bayesian inference on mixture models and their applications , 2006 .
[29] L. Wasserman,et al. Exploring Some Analytical Characteristics of Finite Mixture Models , 2006 .
[30] D. Nagin,et al. What Has Been Learned from Group-Based Trajectory Modeling? Examples from Physical Aggression and Other Problem Behaviors , 2005 .
[31] P. Nieuwbeerta,et al. THE EFFECTS OF LIFE CIRCUMSTANCES ON LONGITUDINAL TRAJECTORIES OF OFFENDING , 2005 .
[32] D. Nagin,et al. FROM SEDUCTION TO PASSION: A RESPONSE TO SAMPSON AND LAUB* , 2005 .
[33] Robert J. Sampson,et al. SEDUCTIONS OF METHOD: REJOINDER TO NAGIN AND TREMBLAY'S "DEVELOPMENTAL TRAJECTORY GROUPS: FACT OR FICTION?" , 2005 .
[34] Stephen W. Raudenbush,et al. How Do We Study “What Happens Next”? , 2005 .
[35] D. Nagin,et al. Further Reflections on Modeling and Analyzing Developmental Trajectories: A Response to Maughan and Raudenbush , 2005 .
[36] Richard E. Tremblay,et al. DEVELOPMENTAL TRAJECTORY GROUPS: FACT OR A USEFUL STATISTICAL FICTION?* , 2005 .
[37] A. Azzalini. The Skew‐normal Distribution and Related Multivariate Families * , 2005 .
[38] Lawrence E. Cohen,et al. Desisting from Crime: Continuity and Change in Long-Term Crime Patterns of Serious Chronic Offenders , 2005 .
[39] J. Toby. Shared Beginnings, Divergent Lives , 2005 .
[40] F. Leisch. FlexMix: A general framework for finite mixture models and latent class regression in R , 2004 .
[41] S. Bushway,et al. Trajectories of Crime at Places: A Longitudinal Study of Street Segments in the City of Seattle , 2004 .
[42] Daniel J Bauer,et al. The integration of continuous and discrete latent variable models: potential problems and promising opportunities. , 2004, Psychological methods.
[43] Daniel J Bauer,et al. Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. , 2003, Psychological methods.
[44] S. Bushway,et al. The Effect of Teenage Employment on Delinquency and Problem Behaviors , 2003 .
[45] Daniel J. Bauer,et al. Overextraction of latent trajectory classes: Much ado about nothing? Reply to Rindskopf (2003), Muthén (2003), and Cudeck and Henly (2003) , 2003 .
[46] Robert J. Sampson,et al. LIFE‐COURSE DESISTERS? TRAJECTORIES OF CRIME AMONG DELINQUENT BOYS FOLLOWED TO AGE 70* , 2003 .
[47] Mark Von Tress,et al. Generalized, Linear, and Mixed Models , 2003, Technometrics.
[48] Mary Gibson. Born to Crime: Cesare Lombroso and the Origins of Biological Criminology , 2002 .
[49] M. McPherson,et al. Birds of a Feather: Homophily in Social Networks , 2001 .
[50] K. Roeder,et al. A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories , 2001 .
[51] J. Mcardle,et al. Multilevel Analyses for Predicting Sequence Effects of Financial and Employment Problems on the Probability of Arrest , 2000 .
[52] Kathryn Roeder,et al. Modeling Uncertainty in Latent Class Membership: A Case Study in Criminology , 1999 .
[53] S. Bushway,et al. ON THE USE OF PANEL RESEARCH DESIGNS AND RANDOM EFFECTS MODELS TO INVESTIGATE STATIC AND DYNAMIC THEORIES OF CRIMINAL OFFENDING , 1999 .
[54] B. Muthén,et al. Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm , 1999, Biometrics.
[55] Daniel S. Nagin,et al. Analyzing developmental trajectories: A semiparametric, group-based approach , 1999 .
[56] Paul E. Meehl,et al. Clarifications about taxometric method , 1999 .
[57] S. Bushway,et al. Assessing Stability and Change in Criminal Offending: A Comparison of Random Effects, Semiparametric, and Fixed Effects Modeling Strategies , 1999 .
[58] D. Stack. Creating born criminals , 1998, Medicina e historia.
[59] M. Stoolmiller,et al. Variables that initiate and maintain an early-onset trajectory for juvenile offending , 1998, Development and Psychopathology.
[60] Richard Rosenfeld,et al. Explaining recent trends in U.S. homicide rates , 1998 .
[61] Daniel S. Nagin,et al. Trajectories of change in criminal offending: Good marriages and the desistance process. , 1998 .
[62] G. Verbeke,et al. The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data , 1997 .
[63] G. Verbeke,et al. A Linear Mixed-Effects Model with Heterogeneity in the Random-Effects Population , 1996 .
[64] D. Wayne Osgood,et al. CRIMINAL CAREERS IN THE SHORT-TERM: INTRA-INDIVIDUAL VARIABILITY IN CRIME AND ITS RELATION TO LOCAL LIFE CIRCUMSTANCES* , 1995 .
[65] L. Wasserman,et al. A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion , 1995 .
[66] D. Farrington. The Twelfth Jack Tizard Memorial Lecture. The development of offending and antisocial behaviour from childhood: key findings from the Cambridge Study in Delinquent Development. , 1995, Journal of child psychology and psychiatry, and allied disciplines.
[67] K. Land,et al. AGE, CRIMINAL CAREERS, AND POPULATION HETEROGENEITY: SPECIFICATION AND ESTIMATION OF A NONPARAMETRIC, MIXED POISSON MODEL* , 1993 .
[68] David P. Farrington,et al. THE ONSET AND PERSISTENCE OF OFFENDING , 1992 .
[69] Anthony S. Bryk,et al. Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .
[70] Daniel S. Nagin,et al. ON THE RELATIONSHIP OF PAST TO FUTURE PARTICIPATION IN DELINQUENCY , 1991 .
[71] D. Greenberg. MODELING CRIMINAL CAREERS , 1991 .
[72] W. A. Nicewander,et al. A LATENT TRAIT APPROACH TO UNIFYING CRIMINAL CAREERS , 1990 .
[73] Miles D. Harer,et al. Age and the Distribution of Crime , 1989, American Journal of Sociology.
[74] A. F. Smith,et al. Statistical analysis of finite mixture distributions , 1986 .
[75] P. M. Hartigan,et al. Computation of the Dip Statistic to Test for Unimodality , 1985 .
[76] D. Greenberg,et al. Age-cohort analysis of arrest rates , 1985 .
[77] Michael R. Gottfredson,et al. Age and Crime, Logic and Scholarship: Comment on Greenberg , 1985, American Journal of Sociology.
[78] D. Greenberg. Age, Crime, and Social Explanation , 1985, American Journal of Sociology.
[79] J. Hartigan,et al. The Dip Test of Unimodality , 1985 .
[80] Michael R. Gottfredson,et al. Age and the Explanation of Crime , 1983, American Journal of Sociology.
[81] Alfred Blumstein,et al. THE IDENTIFICATION OF “CAREER CRIMINALS” FROM “CHRONIC OFFENDERS” IN A COHORT , 1980 .
[82] D. Greenberg. Delinquency and the age structure of society , 1977 .
[83] Andrew von Hirsch,et al. Doing Justice--The Choice of Punishments , 1976 .
[84] Kenneth C. Hallum. : Struggle for Justice: A Report on Crime and Punishment in America , 1973 .
[85] Clifford R. Shaw. The Jack-Roller: A Delinquent Boy's Own Story , 1966 .
[86] T. Gibbens. Age and Crime , 1965, Mental health.
[87] Clifford R. Shaw. The Natural History of a Delinquent Career , 1951 .
[88] S. Glueck,et al. Later Criminal Careers , 1937 .
[89] W. Norwood East,et al. 500 Criminal careers , 1930 .
[90] Yvonne Neudorf,et al. A General Theory Of Crime , 2016 .
[91] Julie A. Phillips,et al. Hierarchical Linear Modeling of Growth Curve Trajectories Using HLM , 2013 .
[92] Russell Steele,et al. Model Selection for Multilevel Models , 2013 .
[93] Kenneth C. Land,et al. Heterogeneity in the rise and decline of city-level homicide rates, 1976-2005: A latent trajectory analysis , 2011 .
[94] Min Liu,et al. Using Latent Profile Models and Unstructured growth mixture Models to assess the number of Latent Classes in growth mixture Modeling , 2011 .
[95] D. Phenix. Criminal Careers: the Distribution of Change , 2010 .
[96] Katherine E. Masyn,et al. General Growth Mixture Analysis with Antecedents and Consequences of Change , 2010 .
[97] A. Piquero. Taking Stock of Developmental Trajectories of Criminal Activity over the Life Course , 2008 .
[98] B. Muthén,et al. Growth mixture modeling , 2008 .
[99] J. Hilbe. Negative Binomial Regression: Preface , 2007 .
[100] Daniel S. Nagin,et al. The Cambridge Handbook of Violent Behavior and Aggression: Overview of a Semi-Parametric, Group-Based Approach for Analyzing Trajectories of Development , 2007 .
[101] C. Anderson‐Cook,et al. Group-Based Modeling of Development , 2006 .
[102] J. Vermunt. Latent Class Models , 2004 .
[103] Ming-Yen Cheng,et al. Calibrating the excess mass and dip tests of modality , 1998 .
[104] P. Beirne. Inventing Criminology: Essays on the Rise of 'Homo Criminalis' , 1996, Law and History Review.
[105] P. Beirne. The origins and growth of criminology : essays on intellectual history, 1760-1945 , 1994 .
[106] T A Louis,et al. Random effects models with non-parametric priors. , 1992, Statistics in medicine.
[107] Nicholas J. Schork,et al. Skewness and mixtures of normal distributions , 1988 .
[108] A. Blumstein. Criminal careers and "career criminals" , 1986 .
[109] Howard S. Becker,et al. Becoming a Marijuana User , 1982 .
[110] N. Morris,et al. Crime and justice : an annual review of research , 1980 .
[111] M. Wolfgang,et al. Delinquency in a birth cohort , 1972 .