His main research concerns Obstetrics, Gestational age, Gestation, Gynecology and Pediatrics. His study in Obstetrics is interdisciplinary in nature, drawing from both Odds ratio, Preeclampsia, Fetus, Prospective cohort study and Risk factor. In the subject of general Gestational age, his work in Premature rupture of membranes is often linked to Risk assessment, thereby combining diverse domains of study.
In general Gestation study, his work on Chorioamnionitis often relates to the realm of Weight gain, thereby connecting several areas of interest. His Gynecology study combines topics from a wide range of disciplines, such as Vagina, Vaginal birth, Predictive factor and Hysterectomy. His Pediatrics study incorporates themes from Intraventricular hemorrhage, Randomized controlled trial and Small for gestational age.
His primary areas of study are Obstetrics, Gestation, Gestational age, Internal medicine and Gynecology. While the research belongs to areas of Obstetrics, Brian M. Mercer spends his time largely on the problem of Odds ratio, intersecting his research to questions surrounding Confidence interval and Case-control study. Brian M. Mercer focuses mostly in the field of Gestation, narrowing it down to matters related to Randomized controlled trial and, in some cases, Anesthesia.
His work in Gestational age tackles topics such as Pediatrics which are related to areas like Intraventricular hemorrhage. His Internal medicine study combines topics in areas such as Gastroenterology, Endocrinology and Cardiology. His Gynecology research integrates issues from Uterine rupture and Cesarean delivery.
His primary scientific interests are in Obstetrics, Gestational age, Gestation, Odds ratio and Randomized controlled trial. His Obstetrics research focuses on Prospective cohort study and how it relates to Cohort study. His work in the fields of Gestational age, such as Small for gestational age, intersects with other areas such as Single-nucleotide polymorphism.
Brian M. Mercer has included themes like Endocrinology, Respiratory distress and Internal medicine in his Gestation study. His Odds ratio research incorporates themes from Logistic regression, Gynecology and Confidence interval. Brian M. Mercer combines subjects such as Anesthesia and Pediatrics with his study of Randomized controlled trial.
Brian M. Mercer focuses on Obstetrics, Gestational age, Gestation, Odds ratio and Cohort study. His study in Obstetrics is interdisciplinary in nature, drawing from both Medicaid, Retrospective cohort study, Preeclampsia, Respiratory distress and Gestational diabetes. His Gestational age research is multidisciplinary, relying on both Fetal viability, Pediatrics and Gestational hypertension.
His work carried out in the field of Gestation brings together such families of science as Endocrinology and Internal medicine. The various areas that Brian M. Mercer examines in his Odds ratio study include Clinical nutrition, Logistic regression, Gynecology and Confidence interval. As a member of one scientific family, Brian M. Mercer mostly works in the field of Cohort study, focusing on Prospective cohort study and, on occasion, Small for gestational age, Observational study, Micronutrient and Cross-sectional study.
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Maternal morbidity associated with multiple repeat cesarean deliveries
Robert M. Silver;Mark B. Landon;Dwight J. Rouse;Kenneth J. Leveno.
Obstetrics & Gynecology (2006)
Prevention of recurrent preterm delivery by 17 alpha-hydroxyprogesterone caproate
Paul J. Meis;Mark Klebanoff;Elizabeth Thom;Mitchell P. Dombrowski.
The New England Journal of Medicine (2003)
Maternal morbidity and mortality in 442 pregnancies with hemolysis, elevated liver enzymes, and low platelets (HELLP syndrome)
Bahaeddine M Sibai;Mohammed K. Ramadan;Ihab Usta;Mostafa Salama.
American Journal of Obstetrics and Gynecology (1993)
Maternal and Perinatal Outcomes Associated with a Trial of Labor after Prior Cesarean Delivery
Mark B. Landon;John C. Hauth;Kenneth J. Leveno;Catherine Y. Spong.
The New England Journal of Medicine (2004)
Timing of Elective Repeat Cesarean Delivery at Term and Neonatal Outcomes
Alan T N Tita;Mark B. Landon;Catherine Y. Spong;Yinglei Lai.
The New England Journal of Medicine (2009)
The influence of obesity and diabetes on the prevalence of macrosomia.
Hugh M. Ehrenberg;Brian M. Mercer;Patrick M. Catalano.
American Journal of Obstetrics and Gynecology (2004)
Preterm premature rupture of the membranes.
Brian M. Mercer.
Obstetrics & Gynecology (2003)
Antibiotic Therapy for Reduction of Infant Morbidity After Preterm Premature Rupture of the Membranes: A Randomized Controlled Trial
B. M. Mercer;M. Miodovnik;G. R. Thurnau;R. L. Goldenberg.
The Preterm Prediction Study: Effect of gestational age and cause of preterm birth on subsequent obstetric outcome
Brian M. Mercer;Robert L. Goldenberg;Atef H. Moawad;Paul J. Meis.
American Journal of Obstetrics and Gynecology (1999)
The preterm prediction study: the value of new vs standard risk factors in predicting early and all spontaneous preterm births. NICHD MFMU Network.
R L Goldenberg;J D Iams;B M Mercer;P J Meis.
American Journal of Public Health (1998)
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