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Dr. M. Ehsan Karim is an Assistant Professor at the UBC School of Population and Public Health, a Scientist & a Biostatistician at the Centre for Health Evaluation and Outcome Sciences (CHÉOS), and a Michael Smith Foundation for Health Research (MSFHR) Scholar. He obtained his PhD in Statistics from UBC. He completed his postgraduate training in the Department of Epidemiology, Biostatistics, and Occupational Health at McGill University, and was also a trainee at the Canadian Network for Observational Drug Effect Studies (CNODES). His current research focuses on causal inference and real-world observational data analyses, in both cross-sectional and longitudinal settings; applications of machine learning approaches in the context of electronic healthcare databases; patient-oriented research; survey sampling methodologies; and Bayesian methodologies in epidemiologic studies.
I am currently looking for multiple graduate students for the following two projects (with methodologic focuses within epidemiologic contexts): (1) Improving Causal Inference Methods in Statistics for Analyzing High-dimensional / Big Data. (2) Developing and Evaluating Causal Inference Methods for Pragmatic Trials to address nonadherence. Graduate students in statistics, biostatistics, epidemiology, economics or computer science with some methodological expertise in statistics and statistical software are encouraged to contact me directly (particularly those with some of the following skills: making data requests, extracting analytic data from administrative / survey databases, running statistical analyses, coding statistical estimators, conducting simulation studies, excellent scientific writing, ability to work on a multidisciplinary team). Interested candidates should email me (at my UBC email address) their complete CV and a cover letter. Only candidates shortlisted will be contacted.
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- A pragmatic randomized controlled trial testing the effects of the international scientific SCI exercise guidelines on SCI chronic pain: protocol for the EPIC-SCI trial (2020)
- Reply (2020)
Arthritis & Rheumatology,
- Multimorbidity prevalence in Canada: a comparison of Northern Territories with Provinces, 2013/14 (2019)
International Journal of Circumpolar Health, 78 (1), 1607703
- Nurses "Seeing Forest for the Trees" in the Age of Machine Learning: Using Nursing Knowledge to Improve Relevance and Performance. (2019)
Computers, informatics, nursing : CIN,
- Role of Nonsteroidal Antiinflammatory Drugs in the Association Between Osteoarthritis and Cardiovascular Diseases: A Longitudinal Study (2019)
Arthritis & Rheumatology, 71 (11), 1835--1843
- Authors' reply: Letter to the Editor: Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies (SMMR, Vol 27, Issue 6, 2018). (2018)
Statistical methods in medical research,
- Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm? (2018)
Epidemiology (Cambridge, Mass.),
- Estimating the effect of referral for nephrology care on the survival of adults with advanced chronic kidney disease in a real-world clinical setting (2018)
- The Effect of Serious Offending on Health: A Marginal Structural Model (2018)
- Determinants of Antibiotic Tailoring in Pediatric Intensive Care: A National Survey. (2017)
Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies,
- Estimating inverse probability weights using super learner when weight-model specification is unknown in a marginal structural Cox model context (2017)
Statistics in Medicine,
- On the application of statistical learning approaches to construct inverse probability weights in marginal structural Cox models: Hedging against weight-model misspecification (2017)
Communications in Statistics - Simulation and Computation, , 1--30
- Comparison of Statistical Approaches for Dealing with Immortal Time Bias in Drug Effectiveness Studies (2016)
American Journal of Epidemiology, 184 (4), 325-335
- Hypothesis Testing for an Exposure–Disease Association in Case–Control Studies Under Nondifferential Exposure Misclassification in the Presence of Validation Data: Bayesian and Frequentist Adjustments (2016)
Statistics in Biosciences, 8 (2), 234-252
- THE AUTHORS REPLY. (2016)
American journal of epidemiology,
- Antibody dissociation rates are predictive of neutralizing antibody (NAb) course: A comparison of interferon beta-1b-treated Multiple Sclerosis (MS) patients with transient versus sustained NAbs (2015)
Clinical Immunology, 157 (1), 91-101
- Beta-interferon exposure and onset of secondary progressive multiple sclerosis (2015)
European Journal of Neurology, 22 (6), 990-1000
- Directed Acyclic Graphs to Identify Confounders: A Case Study Exploring the Impact of Hunger on Virologic Suppression Among HIV-Positive Illicit Drug Users Receiving HIV Treatment (2015)
Health of HIV Infected People: Food, Nutrition and Lifestyle with Antiretroviral Drugs, 1, 275-290
- Multiple sclerosis in older adults: The clinical profile and impact of interferon beta treatment (2015)
BioMed Research International, 2015
- Investigation of heterogeneity in the association between interferon beta and disability progression in multiple sclerosis: An observational study (2014)
European Journal of Neurology, 21 (6), 835-844
- Marginal structural cox models for estimating the association between β-interferon exposure and disease progression in a multiple sclerosis cohort (2014)
American Journal of Epidemiology, 180 (2), 160-171
- Can joint replacement reduce cardiovascular risk? (2013)
BMJ (Online), 347
- Interferon beta and long-term disability in multiple sclerosis (2013)
JAMA Neurology, 70 (5), 651-652
- Association between use of interferon beta and progression of disability in patients with relapsing-remitting multiple sclerosis (2012)
JAMA - Journal of the American Medical Association, 308 (3), 247-256