Adverse event reports in patients taking psychiatric medication during pregnancy from spontaneous reports in Japan and the United States: an approach using latent class analysis

[11] Olfson M(2019)Adverse reaction reports of neuroleptic malignant syndrome induced by atypical antipsychotic agents in the Japanese Adverse Drug Event Report (JADER) database Psychiatry Clin Neurosci. 73 27-446

[12] Grant BF(2018)Antidepressants-related cardiovascular adverse events using the adverse event reporting system Psychiatry Res. 268 441-657

[13] Hasin DS(1994)Measuring diagnostic accuracy in the absence of a “gold standard” Am J Psychiatry. 151 650-155

[14] Takada H(2018)Identifying clinical net benefit of psychotropic medication use with latent variable techniques: Evidence from Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) J Affect Disord. 238 147-3041

[15] Yanagida M(2015)Effect of database profile variation on drug safety assessment: an analysis of spontaneous adverse event reports of Japanese cases Drug Des Devel Ther. 9 3031-686

[16] Tomioka T(2015)Analysis of syndrome class of neuropsychiatric adverse reactions to mefloquine from latent class modeling of fda adverse event reporting system data Biol Pharm Bull Pharm Bull. 38 680-505

[17] Kanai K(2016)Methodology for estimating the risk of adverse drug reactions in pregnant women: analysis of the Japanese Adverse Drug Event Report database J Pharm Soc Japan. 136 499-181

[18] Takaya M(2018)Current review in clinical science psychotropic effects of Antiepileptic drugs Epilepsy Curr. 5 176-90

[19] Kimura R(2017)Current Safety Concerns with Human Papillomavirus Vaccine: A Cluster Analysis of Reports in VigiBase® Drug Saf. 40 81-58

[20] Jimenez-Solem E(2017)An introduction to Latent Class Analysis in health research J Physiother. 63 55-569

[11] Olfson M(2019)Adverse reaction reports of neuroleptic malignant syndrome induced by atypical antipsychotic agents in the Japanese Adverse Drug Event Report (JADER) database Psychiatry Clin Neurosci. 73 27-446

[12] Grant BF(2018)Antidepressants-related cardiovascular adverse events using the adverse event reporting system Psychiatry Res. 268 441-657

[13] Hasin DS(1994)Measuring diagnostic accuracy in the absence of a “gold standard” Am J Psychiatry. 151 650-155

[14] Takada H(2018)Identifying clinical net benefit of psychotropic medication use with latent variable techniques: Evidence from Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) J Affect Disord. 238 147-3041

[15] Yanagida M(2015)Effect of database profile variation on drug safety assessment: an analysis of spontaneous adverse event reports of Japanese cases Drug Des Devel Ther. 9 3031-686

[16] Tomioka T(2015)Analysis of syndrome class of neuropsychiatric adverse reactions to mefloquine from latent class modeling of fda adverse event reporting system data Biol Pharm Bull Pharm Bull. 38 680-505

[17] Kanai K(2016)Methodology for estimating the risk of adverse drug reactions in pregnant women: analysis of the Japanese Adverse Drug Event Report database J Pharm Soc Japan. 136 499-181

[18] Takaya M(2018)Current review in clinical science psychotropic effects of Antiepileptic drugs Epilepsy Curr. 5 176-90

[19] Kimura R(2017)Current Safety Concerns with Human Papillomavirus Vaccine: A Cluster Analysis of Reports in VigiBase® Drug Saf. 40 81-58

[20] Jimenez-Solem E(2017)An introduction to Latent Class Analysis in health research J Physiother. 63 55-569