Logistic Regression With Machine Learning Sheds Light on the Problematic Sexual Behavior Phenotype

Shui Jiang¹, Keanna Wallace, Esther Yang+9

• ¹From the Department of Medical Genetics, Faculty of Medicine and Dentistry, College of Health Sciences, University of Alberta, Edmonton, AB, Canada (SJ, KW, EY, LR, GA, DL, KJA); Department of Psychiatry, Faculty of Medicine and Dentistry, College of Health Sciences, University of Alberta, Edmonton, AB, Canada (KW, EY, LR, GA, DL, RJL, KJA); Department of Emergency Medicine, Faculty of Medicine and Dentistry, College of Health Sciences, University of Alberta, Edmonton, AB, Canada (EY); Department of Medicine, Faculty of Medicine and Dentistry, College of Health Sciences, University of Alberta, Edmonton, AB, Canada (DL); Department of Psychiatry, University of Western Ontario, London, ON, Canada (RJL); Department of Psychiatry, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada (RJL); Department of Psychiatry, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada (RJL); School of Psychology, University of Southern Mississippi, Hattiesburg, MS (RA); Psychological Counselling Services, Ltd., Scottsdale, AZ (RI); Department of Psychology and Counseling, University of Texas at Tyler, Tyler, TX (BG); Department of Biological Sciences, Faculty of Science, College of Natural and Applied Sciences, University of Alberta, Edmonton, AB, Canada (DW); Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada (KJA); Women and Children's Health Research Institute, University of Alberta, Edmonton, AB, Canada (KJA); and Division of Clinical Sciences, Psychiatry Section, Northern Ontario School of Medicine, Sudbury, ON, Canada (KJA).