http://www.chelseajin.com/blog daily 0.75 2022-05-11 http://www.chelseajin.com/blog/2022/5/11/a-real-world-comparative-study-of-fda-approved-diagnostic-assays-pd-l1-ihc-28-8-and-22c3-in-lung-cancer-and-other-malignancies monthly 0.5 2022-05-11 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/16b92921-016a-4792-a491-7d6646f96ec3/AgreementBlandAltman.png Blog - A Real-world, Comparative Study of FDA- approved Diagnostic Assays PD-L1 IHC 28-8 and 22C3 in Lung Cancer and Other Malignancies - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/f1c426e5-1edc-4663-a5a5-88597ae8d3ad/AgreementPlot2.png Blog - A Real-world, Comparative Study of FDA- approved Diagnostic Assays PD-L1 IHC 28-8 and 22C3 in Lung Cancer and Other Malignancies - Make it stand out Whatever it is, the way you tell your story online can make all the difference. http://www.chelseajin.com/blog/2022/5/2/introduction-and-overview-of-causality-and-structural-equation-models monthly 0.5 2022-05-02 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/858f5344-b891-4d35-9502-5b07f244584e/Slide5.png Blog - Introduction and Overview of Causality and Structural Equation Models - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/7956c6f8-b208-4a88-8b7c-75f14cff1ee0/Slide6.png Blog - Introduction and Overview of Causality and Structural Equation Models - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/42b7ac9a-fae4-4a9a-9ee8-c93f2aefc510/Slide7.png Blog - Introduction and Overview of Causality and Structural Equation Models - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/b6ba1961-c682-4ad1-a62f-1b4e44e68d7f/Slide8.png Blog - Introduction and Overview of Causality and Structural Equation Models - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/b86e18a7-640b-4d03-89bf-50f7f826b242/Slide9.png Blog - Introduction and Overview of Causality and Structural Equation Models - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/dbfc0202-53c3-4195-b722-1bf5d8d65030/Slide10.png Blog - Introduction and Overview of Causality and Structural Equation Models - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/7ac3df57-8ee5-4545-89bd-e4f90e2fdb68/Slide15.png Blog - Introduction and Overview of Causality and Structural Equation Models - Make it stand out Whatever it is, the way you tell your story online can make all the difference. http://www.chelseajin.com/blog/2022/5/2/supervised-machine-learning-to-identify-social-economic-behavioral-healthcare-risks-for-covid-19-related-mortality-and-inform-treatment-and-prevention monthly 0.5 2022-05-02 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/af17b06b-33be-43de-a9a4-a2bb024470b1/ML_CovidMortality.png Blog - Supervised Machine Learning to Identify Social Economic Behavioral Healthcare Risks for COVID-19 Related Mortality and Inform Treatment and Prevention - Make it stand out Whatever it is, the way you tell your story online can make all the difference. http://www.chelseajin.com/blog/2022/5/2/heart-failure-phenotyping-by-latent-class-analysis-identifies-subpopulations-at-high-risk-of-mortality-and-readmissions-insights-from-a-real-world-database monthly 0.5 2022-05-02 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/9cd1c3a3-7fc4-45ca-8edd-b1ff2b1fc261/LCA_Geisinger.png Blog - Heart Failure Phenotyping by Latent Class Analysis Identifies Subpopulations at High Risk of Mortality and Readmissions: Insights from a Real World Database - Make it stand out A poster presented at an ACC annual conference http://www.chelseajin.com/blog/2022/5/2/incorporate-real-world-evidence-in-an-ivd-bridging-study monthly 0.5 2022-05-02 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/86f68c4d-0fbf-4659-957e-c69f3b7220a5/Slide2.png Blog - Incorporate Real World Evidence in an IVD Bridging Study for Joint Submission of Therapeutic and Companion Diagnostic Products - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/9b5781c6-05f7-43d1-a520-dcde4eb8bb02/Slide3.png Blog - Incorporate Real World Evidence in an IVD Bridging Study for Joint Submission of Therapeutic and Companion Diagnostic Products - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/35d1a0e3-38e9-4a2a-bd0d-f42bb93d3428/Slide4.png Blog - Incorporate Real World Evidence in an IVD Bridging Study for Joint Submission of Therapeutic and Companion Diagnostic Products - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/563e2dc5-2aa0-4e12-9175-c728102866af/Slide7.png Blog - Incorporate Real World Evidence in an IVD Bridging Study for Joint Submission of Therapeutic and Companion Diagnostic Products - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/47eb66fe-b411-450f-94b8-13ef37c8c022/Slide11.png Blog - Incorporate Real World Evidence in an IVD Bridging Study for Joint Submission of Therapeutic and Companion Diagnostic Products - Make it stand out Whatever it is, the way you tell your story online can make all the difference. http://www.chelseajin.com/blog/2022/5/2/bayesian-mixed-effects-modeling-for-repeated-measures-using-stan monthly 0.5 2022-05-02 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/04d34d05-e2ee-4f5d-a1a5-521817889437/BayesianMixedEffects.png Blog - Bayesian Mixed Effects Modeling for Repeated Measures Using Stan - Make it stand out Whatever it is, the way you tell your story online can make all the difference. http://www.chelseajin.com/blog/2022/4/28/prognosis-vs-prediction-in-precision-medicine monthly 0.5 2022-04-28 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/394c648e-03ab-40f3-a112-242eb722ae39/prognosis_prediction_img.jpg Blog - Prognosis vs. Prediction in Precision Medicine - Make it stand out Graphic illustration of prognostic and predictive biomarkers. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/2b1c81cd-48ac-47df-ab07-ec6ad921c2da/Stat_prognosis_prediction.png Blog - Prognosis vs. Prediction in Precision Medicine - Make it stand out Whatever it is, the way you tell your story online can make all the difference. http://www.chelseajin.com/blog/finding-subgroups-of-patients monthly 0.5 2015-02-17 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1424184162563-M2RDT37A6PB6L6671EJL/subgroupanalysis.png Blog - Finding Subgroups of Patients Responsive to Treatment http://www.chelseajin.com/blog/2014/12/24/merry-christmas monthly 0.5 2014-12-25 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1419482889249-4EJ7DDQEEUY0FBTIUL55/Christmas+Card+Made+with+MatLab Blog - Merry Christmas~! http://www.chelseajin.com/blog/space-of-common-disorders monthly 0.5 2014-11-13 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1415125866458-CTQU0CDPH39D6WWJLS3B/image-asset.png Blog - The Space of Common Psychiatric Disorders in Adolescents: Comorbidity Structure and Individual Latent Liabilities The first plot was the one that can be found in the publication, a way of presenting the geometric relationship among the 16 mental disorders occurred in adolescents in a 3D box.In the plot: 1. Major Depressive Episode/Dysthymia; 2. Generalized Anxiety Disorder; 3. Mania/Hypomania; 4. Specific Phobia; 5. Agoraphobia (with/without panic disorder); 6. Social Anxiety Disorder; 7. Panic Disorder; 8. Separation Disorder; 9. Post-traumatic Stress Disorder; 10. Eating Disorder; 11. Attention Deficit Hyperactivity Disorder; 12. Oppositional Defiant Disorder; 13. Conduct Disorder; 14. Drug Use Disorder; 15. Alcohol Use Disorder; 16. Nicotine Dependence. The second plot presents the relationship in a complex (social) network approach: the sizes of the nodes represent the prevalences of the 16 disorders; the distances between each pair of the disorders represent the Euclidean distances calculated based on the factor loadings as coordinates. http://www.chelseajin.com/blog/2014/10/18/try monthly 0.5 2014-11-04 http://www.chelseajin.com/blog/httanxdep monthly 0.5 2014-10-02 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1412221164180-X5OHW5S2LK1JN0RUB2JF/image-asset.png Blog - Serotonin Transporter Gene (5-HTT) Variation Impacts on Development of Anxiety and Depression: A Longitudinal Study Effects of 5-HTT gene variation on development of anxiety symptom severity. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1412221688998-LQDJ6IPTJLN9AM0NF7AF/image-asset.png Blog - Serotonin Transporter Gene (5-HTT) Variation Impacts on Development of Anxiety and Depression: A Longitudinal Study Effects of 5-HTT gene variation on development of depressive symptom severity. http://www.chelseajin.com/blog/racialdisseruse monthly 0.5 2014-10-11 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1412198935468-ZYA49DXIJAWL0LXIMM6Y/image-asset.png Blog - Socio-economic Predictors of Treatment Service Utilization for Mental Health and Substance Related Problems among 84,342 Youth and Young Adults (Ages 12 - 25) The bubble plot shows that socio-economic status distributes disproportionally among races. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1412199145555-GWKXPD11F81BE2JEPJWG/image-asset.png Blog - Socio-economic Predictors of Treatment Service Utilization for Mental Health and Substance Related Problems among 84,342 Youth and Young Adults (Ages 12 - 25) So do health status and health service use for mental health and alcohol/drug use problems. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1412213124801-KZT58VCAPLD4Y34A4IAB/image-asset.png Blog - Socio-economic Predictors of Treatment Service Utilization for Mental Health and Substance Related Problems among 84,342 Youth and Young Adults (Ages 12 - 25) Results of logistic regression with multinomial outcome (the reference level is no treatment, the 1st level is treatment for MDE, and the 2nd level is treatment for alcohol/drug use problems. The analysis was carried among a subpopulation with past-year alcohol/drug abuse or dependence. http://www.chelseajin.com/blog/persiscmdd monthly 0.5 2014-10-10 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1412977042177-HTQ31YB7EIK0USQFKNUR/image-asset.png Blog - Persistence of Chronic Major Depression: a National Prospective Study Risk factors that are related to persistence of chronic major depressive disorder. http://www.chelseajin.com/blog/nonmedpresdrg monthly 0.5 2014-09-04 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409374814566-D9VB4U9BG8CW0DWKCDCP/image-asset.png Blog - The Latent Structure and Predictors of Non-Medical Prescription Drug Use and Use Disorders, n=43,093 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409374892060-UQZCONGVLIWQZGDZ2UPA/image-asset.png Blog - The Latent Structure and Predictors of Non-Medical Prescription Drug Use and Use Disorders, n=43,093 http://www.chelseajin.com/blog/eeg monthly 0.5 2014-09-03 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409757437358-63WXI9WHO2HXGX7N4E2A/image-asset.png Blog - Modeling the Electroencephalogram (EEG) Signals Acquired during a Seizure of a Patient with Epilepsy Using Fourier Transformation https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409757480157-84Z3U1YRBED1NH898MO9/image-asset.png Blog - Modeling the Electroencephalogram (EEG) Signals Acquired during a Seizure of a Patient with Epilepsy Using Fourier Transformation https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409757523308-3I706U7PQNGRSMPF8RSH/image-asset.png Blog - Modeling the Electroencephalogram (EEG) Signals Acquired during a Seizure of a Patient with Epilepsy Using Fourier Transformation https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409757560939-NHYQF3XLVQSF87G4ZHKO/image-asset.jpeg Blog - Modeling the Electroencephalogram (EEG) Signals Acquired during a Seizure of a Patient with Epilepsy Using Fourier Transformation The model specific records (green) were generated based on fast Fourier transformation. These records were compared to the original odd records (blue) to obtain residuals (in the right). https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409757578161-O2M4B4DBG1NHHHXSTAAI/image-asset.jpeg Blog - Modeling the Electroencephalogram (EEG) Signals Acquired during a Seizure of a Patient with Epilepsy Using Fourier Transformation The left: Autocorrelation of model residuals on odd records. The right: Plot of model-generated records against even records left for cross-validation. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409757589018-7AYR4Y9H9LGUBJPWM895/image-asset.jpeg Blog - Modeling the Electroencephalogram (EEG) Signals Acquired during a Seizure of a Patient with Epilepsy Using Fourier Transformation The residuals obtained from cross-validation (the left) were compared with the residuals obtained from the odd records (the right). Both were small and not autocorrelated. http://www.chelseajin.com/blog/ecstasy monthly 0.5 2014-09-03 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409708198521-XP4E0PC6X49R0NYROSO2/ecstasytrends.png Blog - Ecstasy Use among US Adolescents from 1999 to 2008 Gender differences in adolescent ecstasy (left) and marijuana (right) use, 1999-2008. Percentages of adolescents of each gender, in each year, who were lifetime users. http://www.chelseajin.com/blog/yieldrate monthly 0.5 2014-09-03 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409532144880-7WDD7B8VYOJS9DWXQLFM/image-asset.png Blog - Time Series Factor Analysis on U.S. Daily Treasury Yield Curve Rates Time series of U.S. Daily Treasury Yield Curve Rates, from Jul 2012 to Jul 2014. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409697753556-Z4PC3PX6NGSQ8K6O5AFE/image-asset.png Blog - Time Series Factor Analysis on U.S. Daily Treasury Yield Curve Rates Differenced U.S. Daily Treasury Yield Curve Rates from Jul 2012 to Jul 2014. The first column contains the differenced yield curve rates of 1-, 3-, 6-, and 12-month; the second column contains the differenced 2-, 3-, 5-, and 7-year rates; and the third column has the differenced 10-, 20-, 30-year rates. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409697793714-Z9X86X4Y8415VZRDMAV6/image-asset.png Blog - Time Series Factor Analysis on U.S. Daily Treasury Yield Curve Rates Differenced Factor Scores of the 3-Factor Model. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409698116970-BVS40D8R31A8YNV7ETUP/image-asset.png Blog - Time Series Factor Analysis on U.S. Daily Treasury Yield Curve Rates Factor Scores of the 3-Factor Model. http://www.chelseajin.com/blog/gambdsm5 monthly 0.5 2015-02-17 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409323549666-CFP1M8REE1KQHQYEIMNR/forestplotdsm5 Blog - Concordance between Gambling Disorder Diagnoses in the DSM-IV and DSM-5 Sensitivity, Specificity and Hit Rates Using DSM5 (4 of 9 Criteria) Classification Systems Relative to DSM4 (5 of 10 Criteria). https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409370587153-0J42FZAL2Y2TFJOT9VCB/image-asset.png Blog - Concordance between Gambling Disorder Diagnoses in the DSM-IV and DSM-5 Latent class analysis to classify people into two groups, with and without gambling disorder, based on 10 criteria. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409383385918-C1EM05BT3V6R9ER9V8OI/image-asset.png Blog - Concordance between Gambling Disorder Diagnoses in the DSM-IV and DSM-5 Odds Ratios obtained from comparing two diagnostic systems for gambling disorder, DSM4 (5 of 10) and DSM5 (4 of 9). http://www.chelseajin.com/portfolio daily 0.75 2026-01-14 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1650419304950-24M6MTAX7R5F4WP70SJQ/unsplash-image-IEiAmhXehwE.jpg Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1650422248138-ZL6GGQDD8U9CXMZ17EHL/unsplash-image-kXQ3J7_2fpc.jpg Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1650423028978-DIR69FYP2UEPUHJC75SH/unsplash-image-zO8Crw8SoUM.jpg Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409114905951-A5QQGC43BCMZ2GFFP650/image-asset.png Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409531589095-RFFM4N664ZLLA1WT1MA0/treasuryseries.png Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1651503604258-7C6Z9LDLH1Y3DA291GRB/unsplash-image-ZMraoOybTLQ.jpg Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1413182285020-OPK3ILC9BNP7PGIKDIGK/distance16dx2.png Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1651544508033-C5EE2YY08VOI9WYT004A/unsplash-image-qXfD_nG4j-U.jpg Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1651544567939-QFJV7PG0TQLEMA4JE4SP/unsplash-image-IJ0KiXl4uys.jpg Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/de64d799-6ecf-43d0-9aec-256b4fceafc7/RepeatedMeasures.jpg Portfolio Graphic illustration of repeated measures that were assessed over time. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/9b60d42d-d266-436e-ad4e-5d8527ec0f46/LCA_illustration.png Portfolio Graphic illustration of a latent measurement. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/9c15608e-2f3f-49f1-a26d-fcd89b7fcdba/bayesNet.png Portfolio Graphic illustration of a Bayesian network. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/cf537af8-1cfe-44ca-aa48-577c1edbd224/prognosis_prediction_img.jpg Portfolio Graphic illustration of the impact of prognostic and predictive biomarkers on treatment effects. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/54dd024a-7632-4b79-a7f8-b0da98e11b39/CompanionDiagnostics_img.jpeg Portfolio Graphic illustration of the concept of a companion diagnostic. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/41b675ce-ace5-4f5c-a446-0075fc1a3396/SurrogateBiomarker_img.png Portfolio - Make it stand out Graphic illustration of surrogate endpoints that are fully capturing the effect of interventions on clinical “hard” endpoints. https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/481f22c4-f120-4ed2-94cf-2f28d582a5a6/SEMillustration.png Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1651507051134-IA7DN605FRURCAKRC5QR/unsplash-image-qFFS4I4hdIE.jpg Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/2cc7c189-69d4-4ade-a5fa-041708c9cb82/lcaplot.jpg Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409531589095-RFFM4N664ZLLA1WT1MA0/treasuryseries.png Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409756867543-U2ZHM4FAASJ5Q9IJC8BW/eegplot.png Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409706638918-XWHBA9QIQ77XXYV7DJYF/ecstasytrends.png Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/a18aecb6-725a-492e-8ac4-11ec9bf9b8d2/SupervisedLearning.png Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/c905c4ad-f874-453d-8cc0-37dc7abe0eff/UnsupervisedLearning.jpg Portfolio https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/5bc3dc40-1cf7-4e7c-a7cd-74bd94c9fdc2/ReinforcementLearning.png Portfolio http://www.chelseajin.com/classification daily 0.75 2015-02-17 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409290035895-K5J8SH7PHDJFSU8EDZP9/lcaplot.png Classification/Segmentation - A Latent Class Analysis to Support New Diagnose Criteria for Gambling Disorder in DSM5 - A Bayesian Approach The plot resulted from a LCA shows that the "Illegal Acts" criterion has a low probability of being met among patients with gambling disorder, which in another way supports the validity of eliminating this criterion in the new DSM5. The ultimate result for LCA is to give the probability for a person to be classified in a certain class, based on Bayes rules. Concordance between gambling disorder diagnoses in the DSM-IV and DSM-5: results from the national epidemiological survey of alcohol and related disorders, Psychology of Addictive Behaviors, 03/2014. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409290035895-K5J8SH7PHDJFSU8EDZP9/lcaplot.png Classification/Segmentation - A Latent Class Analysis to Support New Diagnose Criteria for Gambling Disorder in DSM5 - A Bayesian Approach The plot resulted from a LCA shows that the "Illegal Acts" criterion has a low probability of being met among patients with gambling disorder, which in another way supports the validity of eliminating this criterion in the new DSM5. The ultimate result for LCA is to give the probability for a person to be classified in a certain class, based on Bayes rules. Concordance between gambling disorder diagnoses in the DSM-IV and DSM-5: results from the national epidemiological survey of alcohol and related disorders, Psychology of Addictive Behaviors, 03/2014. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409804225664-RAYNNP4VABSI9H3NOX65/svm.png Classification/Segmentation - The ROC Curve and the Corresponding AUC of Two SVM Models with Different Number of Predicting Features Application of attention network test and demographic information to detect mild cognitive impairment via combining feature selection with support vector machine, Computer Methods and Programs in Biomedicine, 07/2009. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409389445745-7RYARAJ11EFC7RUCGO24/fig1space.png Classification/Segmentation - 3D Representation of the Space of Common Psychiatric Disorders in the NCS-A 1. Major Depressive Episode/Dysthymia; 2. Generalized Anxiety Disorder; 3. Mania/Hypomania; 4. Specific Phobia; 5. Agoraphobia (with/without panic disorder); 6. Social Anxiety Disorder; 7. Panic Disorder; 8. Separation Disorder; 9. Post-traumatic Stress Disorder; 10. Eating Disorder; 11. Attention Deficit Hyperactivity Disorder; 12. Oppositional Defiant Disorder; 13. Conduct Disorder; 14. Drug Use Disorder; 15. Alcohol Use Disorder; 16. Nicotine Dependence. The space of common psychiatric disorders in adolescents: comorbidity structure and individual latent liabilities, Journal of the American Academy of Child & Adolescent Psychiatry, 10/2014 -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1424114958956-CXQ4J8MXXHD735VGTZL8/image-asset.png Classification/Segmentation - Classification based on Bayesian Networks Finding sub-groups of patients responsive to treatment. http://www.chelseajin.com/time-series daily 0.75 2014-09-03 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409531589095-RFFM4N664ZLLA1WT1MA0/treasuryseries.png Time Series - Daily Treasury Yield Curve Rates (from Jul 2012 to Jul 2014) Time series factor analysis on the 11 types of daily yield rates. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409531589095-RFFM4N664ZLLA1WT1MA0/treasuryseries.png Time Series - Daily Treasury Yield Curve Rates (from Jul 2012 to Jul 2014) Time series factor analysis on the 11 types of daily yield rates. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409706638918-XWHBA9QIQ77XXYV7DJYF/ecstasytrends.png Time Series - Gender Differences in Adolescent Ecstasy Use, 1999-2008. Percentages of adolescents of each gender, in each year, who were lifetime ecstasy users. Ecstasy use among US adolescents from 1999 to 2008, Drug and Alcohol Dependence, 11/2010. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409756867543-U2ZHM4FAASJ5Q9IJC8BW/eegplot.png Time Series - Electroencephalogram Signals Obtained during a Seizure of a Patient with Epilepsy Modeling the electroencephalogram signals obtained during a seizure of a patient with epilepsy using Fourier transformation. (2008) -> http://www.chelseajin.com/sem daily 0.75 2014-08-30 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409114905951-A5QQGC43BCMZ2GFFP650/image-asset.png Structural Equation Modeling - Predictive Factors of Non-medical Prescription Drugs Use, including Sedatives, Opiates, Tranquilizers, and Stimulants The latent structure and predictors of non-medical prescription drug use and prescription drug use disorders: a national study, Drug and Alcohol Dependence, 08/2013. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409114905951-A5QQGC43BCMZ2GFFP650/image-asset.png Structural Equation Modeling - Predictive Factors of Non-medical Prescription Drugs Use, including Sedatives, Opiates, Tranquilizers, and Stimulants The latent structure and predictors of non-medical prescription drug use and prescription drug use disorders: a national study, Drug and Alcohol Dependence, 08/2013. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409148314978-PU15OCCC456TVLOEAA3E/PathResults4.png Structural Equation Modeling - Gene and Environment Impacting on Development of Anxiety, Depression and Alcohol Misuse Effects of triallelic serotonin transporter gene variation and environment on development and co-occurence of anxiety, depression, and alcohol abuse/dependence, Presentation, 05/2012. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409147432842-DPQBF8F5BWHSGJXOFTY2/depressionSEM.png Structural Equation Modeling - Multiple Factors' Intervening Impacts on College Students' Depression A structural equation model of depression and the defense system factors: a survey among Chinese college students, Psychiatry Research, 02/2009. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1409119800008-DED6G5XGTLUDG2HDCHBU/anxietyMIMIC.png Structural Equation Modeling - Using a National Representative Sample (NESARC) to Identify Risk Factors Shared among Anxiety and Depression Disorders Risk factors for anxiety disorders: common and specific effects in a national sample, Depression and Anxiety, 02/2014. -> http://www.chelseajin.com/logistic daily 0.75 2014-10-10 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1412974168570-PI658I9OY850Z2MSXGUO/chrodepsocio.png Logistic Predictive Modeling - Univariate and Multivariate Logistic Regression, n=504 Persistence of chronic major depression: a national prospective study, Journal of Affective Disorders, 07/2013. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1412974168570-PI658I9OY850Z2MSXGUO/chrodepsocio.png Logistic Predictive Modeling - Univariate and Multivariate Logistic Regression, n=504 Persistence of chronic major depression: a national prospective study, Journal of Affective Disorders, 07/2013. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1412198972317-M0A8R5ETU7WR8AIZHKE9/ServiceuseSocioeco.png Logistic Predictive Modeling - Multinomial Logistic Regression, n=13,155 Explaining racial disparities in treatment service utilization for mental health and substance related problems among English and Spanish-only speaking Hispanics, 04/2011. -> http://www.chelseajin.com/archives/generalized-linear-regression-models daily 0.75 2014-10-02 https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1412219600376-BUESMMG1MX893R1B02TY/AnxHTTPEnv.png Generalized Linear Models Serotonin Transporter Gene Variation Impact on Development of Anxiety and Depression: A Longitudinal Study, 07/2012. -> https://images.squarespace-cdn.com/content/v1/53fbefb1e4b01a33986e0cfc/1412219600376-BUESMMG1MX893R1B02TY/AnxHTTPEnv.png Generalized Linear Models Serotonin Transporter Gene Variation Impact on Development of Anxiety and Depression: A Longitudinal Study, 07/2012. -> http://www.chelseajin.com/contact daily 0.75 2014-10-11 https://images.squarespace-cdn.com/content/v1/5052176b84aeb45fa5cfcc83/1349817862394-TX3STM31V0TM7UILO6ID/1349812992530.png Contact - Transient http://www.chelseajin.com/about daily 0.75 2026-01-14 https://images.squarespace-cdn.com/content/v1/5052176b84aeb45fa5cfcc83/1350441759922-NKU5OB8ZIW62XB889M04/boatmen.png About - Transient http://www.chelseajin.com/home daily 1.0 2026-01-14 https://images.squarespace-cdn.com/content/v1/5052176b84aeb45fa5cfcc83/1349577199654-C8A6HP2M4MLEBJXQ06MF/wilderness.png Welcome - Transient