Dr. Joseph G.a. Ibrahim M.D.
Doctor
300 Madison Ave Madison NJ, 07940About
Dr. Joseph G.a. Ibrahim M.D. is a top Doctor in Madison, NJ. With a passion for the field and an unwavering commitment to their specialty, Dr. Joseph G.a. Ibrahim M.D. is an expert in changing the lives of their patients for the better. Through their designated cause and expertise in the field, Dr. Joseph G.a. Ibrahim M.D. is a prime example of a true leader in health care. As a leader and expert in their field, Dr. Joseph G.a. Ibrahim M.D. is passionate about enhancing patient quality of life. They embody the values of communication, safety, and trust when dealing directly with patients. In Madison, NJ, Dr. Joseph G.a. Ibrahim M.D. is a true asset to their field and dedicated to the profession of medicine.
Education and Training
University of Alexandria Faculty of Medicine 1993
Board Certification
Physical Medicine and RehabilitationAmerican Board of Physical Medicine and RehabilitationABPMR- Pain Medicine
Provider Details
Expert Publications
Data provided by the National Library of Medicine- Using missing data methods in genetic studies with missing mutation status.
- Non-ignorable missing covariates in generalized linear models.
- Bayesian predictive inference for time series count data.
- Group sequential designs for cure rate models with early stopping in favour of the null hypothesis.
- Longitudinal design for phase I clinical trials using the continual reassessment method.
- On Bayesian inference for proportional hazards models using noninformative priors.
- Heterogeneity in phase I clinical trials: prior elicitation and computation using the continual reassessment method.
- Bias in estimating association parameters for longitudinal binary responses with drop-outs.
- Maximum likelihood methods for cure rate models with missing covariates.
- Likelihood methods for incomplete longitudinal binary responses with incomplete
- Monte Carlo EM for missing covariates in parametric regression models.
- Bayesian semiparametric models for survival data with a cure fraction.
- Frailty models with missing covariates.
- Bayesian methods for missing covariates in cure rate models.
- A weighted estimating equation for linear regression with missing covariate data.
Treatments
- Chronic Pain
- Arthritis
- Fibromyalgia
- Osteoarthritis
- Neck Pain
- Back Pain
- Pinched Nerve
- Herniated Disc
- Rotator Cuff Syndrome
- Pain
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