Year |
Citation |
Score |
2020 |
Luningham JM, Hendriks AM, Krapohl E, Fung Ip H, van Beijsterveldt CEM, Lundström S, Vuoksimaa E, Korhonen T, Lichtenstein P, Plomin R, Pulkkinen L, Rose RJ, Kaprio J, Bartels M, Boomsma DI, ... Lubke GH, et al. Harmonizing behavioral outcomes across studies, raters, and countries: application to the genetic analysis of aggression in the ACTION Consortium. Journal of Child Psychology and Psychiatry, and Allied Disciplines. PMID 31950512 DOI: 10.1111/Jcpp.13188 |
0.324 |
|
2020 |
Hong M, Jacobucci R, Lubke G. Deductive data mining. Psychological Methods. PMID 31916800 DOI: 10.1037/Met0000252 |
0.333 |
|
2019 |
Luningham JM, McArtor DB, Hendriks AM, van Beijsterveldt CEM, Lichtenstein P, Lundström S, Larsson H, Bartels M, Boomsma DI, Lubke GH. Data Integration Methods for Phenotype Harmonization in Multi-Cohort Genome-Wide Association Studies With Behavioral Outcomes. Frontiers in Genetics. 10: 1227. PMID 31921287 DOI: 10.3389/Fgene.2019.01227 |
0.411 |
|
2019 |
Lubke G. Old Issues in New Jacket: Power and Validation in the Context of Mixture Modeling. Measurement : Interdisciplinary Research and Perspectives. 10: 212-216. PMID 24098093 DOI: 10.1080/15366367.2012.743401 |
0.337 |
|
2019 |
Lubke G, Neale M. Distinguishing between latent classes and continuous factors with categorical outcomes: Class invariance of parameters of factor mixture models. Multivariate Behavioral Research. 43: 592-620. PMID 20165736 DOI: 10.1080/00273170802490673 |
0.43 |
|
2017 |
Lubke GH, McArtor DB, Boomsma DI, Bartels M. Genetic and Environmental Contributions to the Development of Childhood Aggression. Developmental Psychology. PMID 29058931 DOI: 10.1037/Dev0000403 |
0.364 |
|
2017 |
Luningham JM, McArtor DB, Bartels M, Boomsma DI, Lubke GH. Sum Scores in Twin Growth Curve Models: Practicality Versus Bias. Behavior Genetics. PMID 28780665 DOI: 10.1007/S10519-017-9864-0 |
0.372 |
|
2017 |
Lubke GH, Campbell I, McArtor D, Miller P, Luningham J, van den Berg SM. Assessing Model Selection Uncertainty Using a Bootstrap Approach: An update. Structural Equation Modeling : a Multidisciplinary Journal. 24: 230-245. PMID 28652682 DOI: 10.1080/10705511.2016.1252265 |
0.378 |
|
2017 |
McArtor DB, Lin BD, Hottenga JJ, Boomsma DI, Willemsen G, Lubke GH. Using a multivariate model to assess the interactive effects of demographics and lifestyle on the hematological profile. Biomarkers in Medicine. PMID 28644043 DOI: 10.2217/Bmm-2016-0285 |
0.338 |
|
2017 |
Lubke GH, Luningham J. Fitting latent variable mixture models. Behaviour Research and Therapy. PMID 28460845 DOI: 10.1016/J.Brat.2017.04.003 |
0.421 |
|
2017 |
Justice AE, Winkler TW, Feitosa MF, Graff M, Fisher VA, Young K, Barata L, Deng X, Czajkowski J, Hadley D, Ngwa JS, Ahluwalia TS, Chu AY, Heard-Costa NL, Lim E, ... ... Lubke G, et al. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nature Communications. 8: 14977. PMID 28443625 DOI: 10.1038/Ncomms14977 |
0.305 |
|
2017 |
Lubke G, Grimm KJ. Novel Approaches in Mixture Modeling Structural Equation Modeling: a Multidisciplinary Journal. 24: 157-158. DOI: 10.1080/10705511.2016.1258314 |
0.378 |
|
2017 |
Kort JMd, Dolan CV, Lubke GH, Molenaar D. Studying the Strength of Prediction Using Indirect Mixture Modeling : Nonlinear Latent Regression with Heteroskedastic Residuals Structural Equation Modeling. 24: 301-313. DOI: 10.1080/10705511.2016.1250636 |
0.36 |
|
2017 |
Conde LC, Amin N, Hottenga J, Gizer I, Trull T, van Duijn C, Lubke G, Martin N, Boomsma D, Medland S. The First Genome-Wide Association Meta-Analysis of Borderline Personality Disorder Features European Neuropsychopharmacology. 27: S504-S505. DOI: 10.1016/J.Euroneuro.2016.09.609 |
0.381 |
|
2016 |
Lubke GH, Campbell I. Inference Based on the Best-Fitting Model can Contribute to the Replication Crisis: Assessing Model Selection Uncertainty Using a Bootstrap Approach. Structural Equation Modeling : a Multidisciplinary Journal. 23: 479-490. PMID 28663687 DOI: 10.1080/10705511.2016.1141355 |
0.391 |
|
2016 |
Miller PJ, Lubke GH, McArtor DB, Bergeman CS. Finding structure in data using multivariate tree boosting. Psychological Methods. 21: 583-602. PMID 27918183 DOI: 10.1037/Met0000087 |
0.335 |
|
2016 |
McArtor DB, Lubke GH, Bergeman CS. Extending multivariate distance matrix regression with an effect size measure and the asymptotic null distribution of the test statistic. Psychometrika. PMID 27738957 DOI: 10.1007/S11336-016-9527-8 |
0.312 |
|
2016 |
Nivard MG, Middeldorp CM, Lubke G, Hottenga JJ, Abdellaoui A, Boomsma DI, Dolan CV. Detection of gene-environment interaction in pedigree data using genome-wide genotypes. European Journal of Human Genetics : Ejhg. PMID 27436263 DOI: 10.1038/Ejhg.2016.88 |
0.4 |
|
2016 |
Laurin C, Boomsma D, Lubke G. The use of vector bootstrapping to improve variable selection precision in Lasso models. Statistical Applications in Genetics and Molecular Biology. PMID 27248122 DOI: 10.1515/Sagmb-2015-0043 |
0.621 |
|
2016 |
Stringer S, Minică CC, Verweij KJ, Mbarek H, Bernard M, Derringer J, van Eijk KR, Isen JD, Loukola A, Maciejewski DF, Mihailov E, van der Most PJ, Sánchez-Mora C, Roos L, Sherva R, ... ... Lubke GH, et al. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. Translational Psychiatry. 6: e769. PMID 27023175 DOI: 10.1038/Tp.2016.36 |
0.352 |
|
2016 |
Tueller S, Lubke G. Abstract: A Comparison of the Factor Mixture Model and Taxometric Procedures. Multivariate Behavioral Research. 43: 660. PMID 26771434 DOI: 10.1080/00273170802640517 |
0.675 |
|
2015 |
Lubke GH, Ouwens KG, de Moor MH, Trull TJ, Boomsma DI. Population heterogeneity of trait anger and differential associations of trait anger facets with borderline personality features, neuroticism, depression, Attention Deficit Hyperactivity Disorder (ADHD), and alcohol problems. Psychiatry Research. 230: 553-60. PMID 26454404 DOI: 10.1016/J.Psychres.2015.10.003 |
0.367 |
|
2015 |
Lubke GH, Miller PJ, Verhulst B, Bartels M, van Beijsterveldt T, Willemsen G, Boomsma DI, Middeldorp CM. A powerful phenotype for gene-finding studies derived from trajectory analyses of symptoms of anxiety and depression between age seven and 18. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics. PMID 26334918 DOI: 10.1002/Ajmg.B.32375 |
0.357 |
|
2015 |
Laurin CA, Hottenga JJ, Willemsen G, Boomsma DI, Lubke GH. Genetic analyses benefit from using less heterogeneous phenotypes: an illustration with the hospital anxiety and depression scale (HADS). Genetic Epidemiology. 39: 317-24. PMID 25832296 DOI: 10.1002/Gepi.21897 |
0.583 |
|
2015 |
Lubke GH, Miller PJ. Does nature have joints worth carving? A discussion of taxometrics, model-based clustering and latent variable mixture modeling. Psychological Medicine. 45: 705-15. PMID 25137654 DOI: 10.1017/S003329171400169X |
0.334 |
|
2014 |
van Beek JH, Lubke GH, de Moor MH, Willemsen G, de Geus EJ, Hottenga JJ, Walters RK, Smit JH, Penninx BW, Boomsma DI. Heritability of liver enzyme levels estimated from genome-wide SNP data. European Journal of Human Genetics : Ejhg. PMID 25424715 DOI: 10.1038/Ejhg.2014.259 |
0.358 |
|
2014 |
Walters RK, Laurin C, Lubke GH. Epi2Loc: an R package to investigate two-locus epistatic models. Twin Research and Human Genetics : the Official Journal of the International Society For Twin Studies. 17: 272-8. PMID 24983251 DOI: 10.1017/Thg.2014.38 |
0.608 |
|
2014 |
Walters RK, Laurin C, Lubke GH. EpiPen: An R Package to Investigate Two-Locus Epistatic Models – RETRACTION Twin Research and Human Genetics. 17: 354-354. PMID 24970233 DOI: 10.1017/Thg.2014.37 |
0.539 |
|
2014 |
Benke KS, Nivard MG, Velders FP, Walters RK, Pappa I, Scheet PA, Xiao X, Ehli EA, Palmer LJ, Whitehouse AJ, Verhulst FC, Jaddoe VW, Rivadeneira F, Groen-Blokhuis MM, van Beijsterveldt CE, ... ... Lubke GH, et al. A genome-wide association meta-analysis of preschool internalizing problems. Journal of the American Academy of Child and Adolescent Psychiatry. 53: 667-676.e7. PMID 24839885 DOI: 10.1016/J.Jaac.2013.12.028 |
0.336 |
|
2014 |
Lubke GH, Laurin C, Amin N, Hottenga JJ, Willemsen G, van Grootheest G, Abdellaoui A, Karssen LC, Oostra BA, van Duijn CM, Penninx BW, Boomsma DI. Genome-wide analyses of borderline personality features. Molecular Psychiatry. 19: 923-9. PMID 23979607 DOI: 10.1038/Mp.2013.109 |
0.601 |
|
2013 |
Laurin C, Lubke G. Abstract: Stability Selection for Penalized Canonical Correlation Analysis. Multivariate Behavioral Research. 48: 165. PMID 26789226 DOI: 10.1080/00273171.2013.752264 |
0.527 |
|
2013 |
Lubke G, Laurin C, Walters R, Eriksson N, Hysi P, Spector T, Montgomery G, Martin N, Medland S, Boomsma D. Gradient Boosting as a SNP Filter: an Evaluation Using Simulated and Hair Morphology Data. Journal of Data Mining in Genomics & Proteomics. 4. PMID 24404405 DOI: 10.4172/2153-0602.1000143 |
0.61 |
|
2013 |
Lubke G, McArtor D. Multivariate genetic analyses in heterogeneous populations. Behavior Genetics. 44: 232-9. PMID 24311199 DOI: 10.1007/S10519-013-9631-9 |
0.401 |
|
2013 |
Patrick Roeling M, Dieleman GC, van der Ende J, Verhulst FC, Posthuma D, Posthuma D, Polderman TJ, Lubke GH. The use of hybrid statistical models to chart the heterogeneity of internalizing problem behavior in child- and adolescent psychiatric patients Tijdschrift Voor Kindergeneeskunde. 81: 97-97. DOI: 10.1007/S12456-013-0094-Y |
0.413 |
|
2012 |
Walters R, Laurin C, Lubke GH. An integrated approach to reduce the impact of minor allele frequency and linkage disequilibrium on variable importance measures for genome-wide data. Bioinformatics (Oxford, England). 28: 2615-23. PMID 22847933 DOI: 10.1093/Bioinformatics/Bts483 |
0.581 |
|
2012 |
Lubke GH, Hottenga JJ, Walters R, Laurin C, de Geus EJ, Willemsen G, Smit JH, Middeldorp CM, Penninx BW, Vink JM, Boomsma DI. Estimating the genetic variance of major depressive disorder due to all single nucleotide polymorphisms. Biological Psychiatry. 72: 707-9. PMID 22520966 DOI: 10.1016/J.Biopsych.2012.03.011 |
0.589 |
|
2012 |
Lubke GH, Stephens SH, Lessem JM, Hewitt JK, Ehringer MA. The CHRNA5/A3/B4 gene cluster and tobacco, alcohol, cannabis, inhalants and other substance use initiation: replication and new findings using mixture analyses. Behavior Genetics. 42: 636-46. PMID 22382757 DOI: 10.1007/S10519-012-9529-Y |
0.319 |
|
2011 |
Lu ZL, Zhang Z, Lubke G. Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing Data. Multivariate Behavioral Research. 46: 567-597. PMID 24790248 DOI: 10.1080/00273171.2011.589261 |
0.43 |
|
2011 |
Tueller SJ, Drotar S, Lubke GH. Addressing the problem of switched class labels in latent variable mixture model simulation studies Structural Equation Modeling. 18: 110-131. DOI: 10.1080/10705511.2011.534695 |
0.673 |
|
2010 |
Lu ZL, Zhang ZJ, Lubke G. Abstract: Bayesian Inference for Growth Mixture Models With Nonignorable Missing Data. Multivariate Behavioral Research. 45: 1028-9. PMID 26760734 DOI: 10.1080/00273171.2010.534381 |
0.322 |
|
2010 |
Lubke G, Tueller S. Latent Class Detection and Class Assignment: A Comparison of the MAXEIG Taxometric Procedure and Factor Mixture Modeling Approaches. Structural Equation Modeling : a Multidisciplinary Journal. 17: 605-628. PMID 24648712 DOI: 10.1080/10705511.2010.510050 |
0.677 |
|
2010 |
Tueller S, Lubke G. Evaluation of Structural Equation Mixture Models: Parameter Estimates and Correct Class Assignment Structural Equation Modeling. 17: 165-192. PMID 20582328 DOI: 10.1080/10705511003659318 |
0.681 |
|
2007 |
Lubke G, Muthén BO. Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters. Structural Equation Modeling. 14: 26-47. DOI: 10.1207/S15328007Sem1401_2 |
0.418 |
|
2006 |
Lubke G, Neale MC. Distinguishing Between Latent Classes and Continuous Factors: Resolution by Maximum Likelihood? Multivariate Behavioral Research. 41: 499-532. PMID 26794916 DOI: 10.1207/S15327906Mbr4104_4 |
0.384 |
|
2005 |
Neale MC, Lubke G, Aggen SH, Dolan CV. Problems with using sum scores for estimating variance components: contamination and measurement noninvariance. Twin Research and Human Genetics : the Official Journal of the International Society For Twin Studies. 8: 553-68. PMID 16354497 DOI: 10.1375/183242705774860231 |
0.362 |
|
2005 |
Lubke GH, Muthén B. Investigating population heterogeneity with factor mixture models. Psychological Methods. 10: 21-39. PMID 15810867 DOI: 10.1037/1082-989X.10.1.21 |
0.372 |
|
2005 |
Dolan CV, Schmittmann VD, Lubke GH, Neale MC. Regime Switching in the Latent Growth Curve Mixture Model Structural Equation Modeling. 12: 94-119. DOI: 10.1207/S15328007Sem1201_5 |
0.345 |
|
2004 |
Lubke GH, Dolan CV, Neale MC. Implications of absence of measurement invariance for detecting sex limitation and genotype by environment interaction. Twin Research : the Official Journal of the International Society For Twin Studies. 7: 292-8. PMID 15193174 DOI: 10.1375/136905204774200578 |
0.348 |
|
2004 |
Lubke GH, Muthén BO. Applying Multigroup Confirmatory Factor Models for Continuous Outcomes to Likert Scale Data Complicates Meaningful Group Comparisons Structural Equation Modeling: a Multidisciplinary Journal. 11: 514-534. DOI: 10.1207/S15328007Sem1104_2 |
0.339 |
|
2003 |
Lubke GH, Dolan CV. Can unequal residual variances across groups mask differences in residual means in the common factor model Structural Equation Modeling. 10: 175-192. DOI: 10.1207/S15328007Sem1002_1 |
0.312 |
|
2003 |
Lubke G. On the relationship between sources of within- and between-group differences and measurement invariance in the common factor model Intelligence. 31: 543-566. DOI: 10.1016/S0160-2896(03)00051-5 |
0.342 |
|
2001 |
Dolan CV, Lubke GH. Viewing Spearman's hypothesis from the perspective of multigroup PCA: a comment on Schönemann's criticism Intelligence. 29: 231-245. DOI: 10.1016/S0160-2896(00)00054-4 |
0.319 |
|
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