Presented by Serge McGraw
This workshop will introduce trainees (MSc, PhD and postdocs) on how to organize and write fellowship applications. Trainees will learn what are the common mistakes observed during the reviewing process and how we can avoid them. This workshop will concentrate on Canadian Institutes of Health Research (CIHR) awards, but the ideas will apply to the majority of fellowships.
Presented by Anick Bérard
This course will present all the basic definitions, and overarching concepts and principles in perinatal pharmacoepidemiology. This will be given as a formal lecture with time for questions at the end.
Presented by Anaïs Lacasse
This course will outline importance and methodological considerations surrounding the integration of sex and gender in pharmacoepidemiology through lectures, group discussions and examples drawn from the medical literature.
Presented by Andrea Tricco
and Kristi McIntosh, Amanda Doherty-Kirby (patient partners)
This course will explore how to engage patients and public partners and knowledge users in research going through the main steps and elements to consider for co-creation of research with patients and other partners. This course will be presented in collaboration with two patient partners involved in perinatal research.
Presented by Tania Saba
Understanding the concepts behind equity, diversity and inclusion (EDI) is fundamental to achieving EDI goals and taking a more proactive approach to ensuring that different demographics are better represented in society at large. Addressing the dynamics of EDI is becoming a must and requires a shift in the way we work and deliver health care. Developing an EDI plan that incorporates a vision, mission, concrete actions and evaluation measures is key. Adopting and implementing a scientific and reasoned approach to EDI becomes essential for students, faculty, and health care providers to prevent discriminatory bias against people with different backgrounds and characteristics. By being more aware of our beliefs, committing to change our environment, and taking action, we will help individuals and organizations be more inclusive for those who work there and those who receive health care.
Presented by Louise Winn
This course is Part 1 of a series of two that will introduce trainees to the basic principles of drug discovery and development. In this Part 1, an overview of a pharmacologic product from drug discovery to full development will be covered followed by a focus on target identification, drug design and synthesis, and efficacy determination.
Presented by Louise Winn
This course is Part 2 of a series of two that will introduce trainees to the basic principles of drug discovery and development. In this Part 2, a very brief overview of a pharmacologic product from drug discovery to full development will be reviewed, followed by a focus on required toxicology studies, and clinical trials.
Presented by Jessica Gorgui
This webinar will explore the critical role of pharmacovigilance in monitoring drug safety, with a focus on isotretinoin, a treatment for severe acne, and particularly in the context of pregnancy. Different practices in the USA, Canada and Europe will be compared.
Presented by Bruno Giros
In this course, basis for neuropharmacology will be covered and we will have an overview of the cellular and molecular brain, to understand why receptors and transporters represent more than 50% of all therapeutical targets and what are the future directions.
Presented by Kenji Momo
This webinar will introduce (1) a Japanese database available for pharmacoepidemiological research, and (2) researches using the dataset. Audiences will learn what is the Japanese database via actual research results obtained using the dataset for future research collaboration.
Presented by Bruno Giros
Since 10-15 years, reverse pharmacology and the use of state of the art molecular tools allowed to decipher the role and function of any given protein and to deconstruct brain circuitry organization in complex behavior.
Presented by Bruno Giros
This journal club aims to deepen critical appraisal skills and develop critical thinking for analyzing and reading scientific articles as it pertains to the study of adverse effects of environmental perturbations on behavior in animal models (in vivo). This session will provide an interactive and social opportunity for peer-to-peer learning, with time for questions and group discussion.
Trainees in our 2024-2025 cohort will be divided into 2 groups, and each group will present a review of one of the following articles during the journal club.
✓ Mourlon V et al. Maternal deprivation induces depressive-like behaviours only in female rats. DOI ↗
✓ Baudin A et al. Maternal deprivation induces deficits in temporal memory and cognitive flexibility and exaggerates synaptic plasticity in the rat medial prefrontal cortex. DOI ↗
Presented by Bruce Carleton
This course will cover basic pharmacogenomic terminology, research methods and key limitations of these studies.
Pre-readings:
✓ Blumenfeld YJ et al. Maternal-fetal and neonatal pharmacogenomics: a review of current literature. DOI ↗
✓ Crisafulli C et al. Pharmacogenetic and pharmacogenomic discovery strategies. DOI ↗
Presented by Takoua Boukhris
This webinar will provide you insights on career development in Canada’s public service environment with regards to post-market regulation of pharmaceutical drugs as well as vaccination surveillance and monitoring systems.
During this webinar, key information to be conveyed includes:
✓ Tangible actions you can take to navigate and grow your career in the public service, especially vaccination surveillance and monitoring;
✓ Career growth mindset, factoring in fulsome career development approach in the field of epidemiology from regulation towards to surveillance and monitoring, with concrete example(s) from personal experience within Public Health sector portfolio;
✓ Supports available to you to help you plan, prepare, and take career action steps tailored to your career expectations.
Presented by Bruce Carleton
This course will summarize value and limitations of Big and Small data drug outcome studies and why both study types improve the rigour of each other.
Pre-readings:
✓ Bissel M. Reproducibility: The risks of the replication drive. DOI ↗
✓ Allison DB & Fineberg HV. EPA's proposed transparency rule: Factors to consider, many; planets to live on, one. DOI ↗
Presented by Bruce Carleton
This course will explore key methods of implementation science in both perinatal epidemiology and pharmacogenomic studies and will have participants designing implementation science methods for a perinatal pharmacogenomic study.
Pre-reading:
✓ Phillips CA et al. Implementation science in pediatric oncology: A narrative review and future directions. DOI ↗
Presented by Bruce Carleton
This course will describe key thresholds for evidence-based pharmacogenetic testing as well as limitations and value of commercial panels.
Presented by Natalie Dayan
In this webinar, we will review historical events and bioethical issues that have led to the systematic exclusion of pregnant and lactating people in clinical trials and discuss challenges to studying these populations, and strategies to overcome them.
Presented by Bruce Carleton
This course will evaluate the quality of a perinatal outcome study and appraise the value of a fetal pharmacogenomic study. The use of both study types in succession will be discussed.
Trainees in our 2024-2025 cohort will be divided into 2 groups, and each group will present a review of one of the following articles during the journal club.
✓ Moriello C et al. Off-label postpartum use of domperidone in Canada: a multidatabase cohort study. DOI ↗
✓ Raymond M et al. Fetal pharmacogenomics: A promising addition to complex neonatal care. DOI ↗
Presented by Sherif Eltonsy
This course will introduce trainees to basic pharmacoepidemiology principles and concepts, including study designs and their basic features. The course will also provide an understanding of bias and confounding in pharmacoepidemiology.
Presented by Christopher Gravel
This webinar will introduce spontaneous reporting (SR) databases and discuss how they fit into pharmacovigilance processes within the drug product lifecycle. Attendees will learn how to mine the FDA’s Adverse Event Reporting System (FAERS) database for drug safety hypothesis generation, or signal detection, using disproportionality analysis algorithms in R. The challenges in the interpretation of detected signals will be discussed, and the forms of bias specific to these analyses will be reviewed. Finally, some of the challenges in the practical use of SR data for drug safety surveillance will be overviewed, and potential ways to mitigate these concerns will be highlighted.
Presented by Brandace Winquist
and Anick Bérard
This course will explore common data sources used in pharmacoepidemiology and methodological considerations through didactic lectures, group discussions, and examples from the medical literature.
Presented by Gillian Hanley
and Azar Mehrabadi
This intermediate phamacoepidemiology course will build upon the introductory course and present methods used to correct for confounding, including propensity score matching, instrumental variables, time-varying exposures in pregnancy, etc. This will be given as a formal lecture with question periods built in and some breakout group work.
Presented by Gillian Hanley
and Azar Mehrabadi
This follow-up course to Part 1 of intermediate pharmacoepidemiology will introduce quasi-experimental methods that can be used to better target causal research questions. This will be given as a formal lecture with question periods built in and some breakout group work.
Presented by Anick Bérard
This course will use published manuscripts to review and summarize all concepts seen within the Pharmacoepidemiology Module. This session will be interactive with questions and answers.
Trainees in our 2024-2025 cohort will be divided into 2 groups, and each group will present a review of one of the following articles during the journal club.
✓ Cleary B et al. Methadone, Pierre Robin sequence and other congenital anomalies: case-control study. DOI ↗
✓ Andersen SL et al. Maternal Thyroid Function, Use of Antithyroid Drugs in Early Pregnancy, and Birth Defects. DOI ↗
Presented by Mark Walker
This webinar will aim to review the changes in use of cannabis during pregnancy following the legalization in Canada and the social demographics associated with usage. Lastly, research results from Dr. Mark Walker's team on both pregnancy and childhood outcomes of cannabis use in pregnancy will be covered.
Presented by Steven Hawken
This course will target statisticians, epidemiologists, data scientists and other quantitative researchers/students with a basic familiarity with regression modeling. The course will cover general strategies for fitting prediction models for continuous, categorical and timeto-event outcomes, including: exploratory analysis/data visualization; missing data imputation; covariate selection; model specification; model validation/calibration; handling non-linearity; and choosing between conventional statistical models and machine learning models (and the differences between these types of models). Extensive use of R, RStudio and Frank Harrell’s Hmisc and rms r-packages will be used in the course material and casestudies/examples. The course will follow the general philosophy of Regression Modelling Strategies - 2nd Edition textbook by Frank Harrell (Optional, but recommended course textbook; all necessary readings/lecture notes will be provided for participants).
Presented by Steven Hawken
This course will target statisticians, epidemiologists, data scientists and other quantitative researchers/students with a basic familiarity with regression modeling. The course will cover general strategies for fitting prediction models for continuous, categorical and timeto-event outcomes, including: exploratory analysis/data visualization; missing data imputation; covariate selection; model specification; model validation/calibration; handling non-linearity; and choosing between conventional statistical models and machine learning models (and the differences between these types of models). Extensive use of R, RStudio and Frank Harrell’s Hmisc and rms r-packages will be used in the course material and casestudies/examples. The course will follow the general philosophy of Regression Modelling Strategies - 2nd Edition textbook by Frank Harrell (Optional, but recommended course textbook; all necessary readings/lecture notes will be provided for participants).
Presented by Michal Abrahamowicz
and Marie-Eve Beauchamp
This, relatively advanced, course in applied biostatistics is designed for graduate trainees and researchers in (bio-)statistics, (pharmaco-)epidemiology, data science, as well as public health, who have good understanding of multivariable regression and some knowledge of applied survival analysis (especially of the Cox model).
The 1st part will focus on the non-technical conceptual introduction to relevant statistical modeling methods and real-life applications (mostly in pharmacoepidemiology), with an overview of different modeling approaches that may be considered to analyze associations between a time-varying drug exposure and time to a clinical endpoint (e.g., an adverse event or death). Then, the importance of considering potential (i) latency between exposure and change in risk and/or (ii) cumulative effects of past exposures will be discussed. Next, the Weighted Cumulative Exposure (WCE) methodology will be explained in a way accessible for participants without formal background in statistics or biostatistics.
The 2nd part will focus on practical issues related to the use of the R package WCE to analyze real-world pharmacoepidemiology data. The way data have to be prepared for WCE analyses and the steps necessary to carry out these analyses will be explained.
Presented by Christopher Gravel
This course will discuss the fundamentals for applying propensity score methods in observational research with a focus on pharmacoepidemiology. We will cover the basic principles behind causal inference concepts and motivate their use for reducing the impact of confounding due to observed covariates. The emphasis of the course will be on the practical application of these methods using examples in the R programming language and will focus specifically on matching and inverse probability of treatment weighting. Strategies to address common complications in propensity score analyses will be discussed.
Presented by Andrea Tricco
This course will explore how to engage with knowledge users in research by covering different types of knowledge synthesis methods for decision-making. The main steps and elements to consider for co-creation of research with knowledge users will be discussed.
Presented by Marc Lanovaz
This course involves an introduction to the use of machine learning in applied research. Specifically, the instructor will review the assumptions and concepts underlying the application of machine learning to conduct research with health and behavioral data.
Presented by Padma Kaul
This course will showcase examples of how artifical intelligence (AI) and machine learning (ML) methods are being used in perinatal research. The instructor will discuss AI-ML methods, common challenges, and solutions. The attendees will get exposure to several examples from published and ongoing research projects within the Canadian Mother-Child Cohort (CAMCCO) that utilize AI-ML methodology.
Presented by Gabra Nohmie
More information coming soon!
Presented by Kevin Dick
This course will provide a comprehensive journey through the historical development of artificial intelligence (AI), showcasing its pivotal role in enabling advancements in perinatal research. Attendees will gain insights into applied examples, including the use of health administrative data for maternal-fetal healthcare and computer vision applications for outcome prediction using ultrasound imaging. The session will conclude with a visionary framework for the future of AI in medicine and practical guidance for conceptualizing future AI research studies.
Presented by Kevin Dick
This course will provide a comprehensive journey through the historical development of artificial intelligence (AI), showcasing its pivotal role in enabling advancements in perinatal research. Attendees will gain insights into applied examples, including the use of health administrative data for maternal-fetal healthcare and computer vision applications for outcome prediction using ultrasound imaging. The session will conclude with a visionary framework for the future of AI in medicine and practical guidance for conceptualizing future AI research studies.
Presented by Gabra Nohmie
More information coming soon!
Presented by Padma Kaul
This course will showcase examples of how artifical intelligence (AI) and machine learning (ML) methods are being used in perinatal research. The instructor will discuss AI-ML methods, common challenges, and solutions. The attendees will get exposure to several examples from published and ongoing research projects within the Canadian Mother-Child Cohort (CAMCCO) that utilize AI-ML methodology.
Presented by Marc Lanovaz
This course involves an introduction to the use of machine learning in applied research. Specifically, the instructor will review the assumptions and concepts underlying the application of machine learning to conduct research with health and behavioral data.
Presented by Andrea Tricco
This course will explore how to engage with knowledge users in research by covering different types of knowledge synthesis methods for decision-making. The main steps and elements to consider for co-creation of research with knowledge users will be discussed.
Presented by Christopher Gravel
This course will discuss the fundamentals for applying propensity score methods in observational research with a focus on pharmacoepidemiology. We will cover the basic principles behind causal inference concepts and motivate their use for reducing the impact of confounding due to observed covariates. The emphasis of the course will be on the practical application of these methods using examples in the R programming language and will focus specifically on matching and inverse probability of treatment weighting. Strategies to address common complications in propensity score analyses will be discussed.
Presented by Michal Abrahamowicz
and Marie-Eve Beauchamp
This, relatively advanced, course in applied biostatistics is designed for graduate trainees and researchers in (bio-)statistics, (pharmaco-)epidemiology, data science, as well as public health, who have good understanding of multivariable regression and some knowledge of applied survival analysis (especially of the Cox model).
The 1st part will focus on the non-technical conceptual introduction to relevant statistical modeling methods and real-life applications (mostly in pharmacoepidemiology), with an overview of different modeling approaches that may be considered to analyze associations between a time-varying drug exposure and time to a clinical endpoint (e.g., an adverse event or death). Then, the importance of considering potential (i) latency between exposure and change in risk and/or (ii) cumulative effects of past exposures will be discussed. Next, the Weighted Cumulative Exposure (WCE) methodology will be explained in a way accessible for participants without formal background in statistics or biostatistics.
The 2nd part will focus on practical issues related to the use of the R package WCE to analyze real-world pharmacoepidemiology data. The way data have to be prepared for WCE analyses and the steps necessary to carry out these analyses will be explained.
Presented by Steven Hawken
This course will target statisticians, epidemiologists, data scientists and other quantitative researchers/students with a basic familiarity with regression modeling. The course will cover general strategies for fitting prediction models for continuous, categorical and timeto-event outcomes, including: exploratory analysis/data visualization; missing data imputation; covariate selection; model specification; model validation/calibration; handling non-linearity; and choosing between conventional statistical models and machine learning models (and the differences between these types of models). Extensive use of R, RStudio and Frank Harrell’s Hmisc and rms r-packages will be used in the course material and casestudies/examples. The course will follow the general philosophy of Regression Modelling Strategies - 2nd Edition textbook by Frank Harrell (Optional, but recommended course textbook; all necessary readings/lecture notes will be provided for participants).
Presented by Steven Hawken
This course will target statisticians, epidemiologists, data scientists and other quantitative researchers/students with a basic familiarity with regression modeling. The course will cover general strategies for fitting prediction models for continuous, categorical and timeto-event outcomes, including: exploratory analysis/data visualization; missing data imputation; covariate selection; model specification; model validation/calibration; handling non-linearity; and choosing between conventional statistical models and machine learning models (and the differences between these types of models). Extensive use of R, RStudio and Frank Harrell’s Hmisc and rms r-packages will be used in the course material and casestudies/examples. The course will follow the general philosophy of Regression Modelling Strategies - 2nd Edition textbook by Frank Harrell (Optional, but recommended course textbook; all necessary readings/lecture notes will be provided for participants).
Presented by Mark Walker
This webinar will aim to review the changes in use of cannabis during pregnancy following the legalization in Canada and the social demographics associated with usage. Lastly, research results from Dr. Mark Walker's team on both pregnancy and childhood outcomes of cannabis use in pregnancy will be covered.
Presented by Anick Bérard
This course will use published manuscripts to review and summarize all concepts seen within the Pharmacoepidemiology Module. This session will be interactive with questions and answers.
Trainees in our 2024-2025 cohort will be divided into 2 groups, and each group will present a review of one of the following articles during the journal club.
✓ Cleary B et al. Methadone, Pierre Robin sequence and other congenital anomalies: case-control study. DOI ↗
✓ Andersen SL et al. Maternal Thyroid Function, Use of Antithyroid Drugs in Early Pregnancy, and Birth Defects. DOI ↗
Presented by Gillian Hanley
and Azar Mehrabadi
This follow-up course to Part 1 of intermediate pharmacoepidemiology will introduce quasi-experimental methods that can be used to better target causal research questions. This will be given as a formal lecture with question periods built in and some breakout group work.
Presented by Gillian Hanley
and Azar Mehrabadi
This intermediate phamacoepidemiology course will build upon the introductory course and present methods used to correct for confounding, including propensity score matching, instrumental variables, time-varying exposures in pregnancy, etc. This will be given as a formal lecture with question periods built in and some breakout group work.
Presented by Brandace Winquist
and Anick Bérard
This course will explore common data sources used in pharmacoepidemiology and methodological considerations through didactic lectures, group discussions, and examples from the medical literature.
Presented by Christopher Gravel
This webinar will introduce spontaneous reporting (SR) databases and discuss how they fit into pharmacovigilance processes within the drug product lifecycle. Attendees will learn how to mine the FDA’s Adverse Event Reporting System (FAERS) database for drug safety hypothesis generation, or signal detection, using disproportionality analysis algorithms in R. The challenges in the interpretation of detected signals will be discussed, and the forms of bias specific to these analyses will be reviewed. Finally, some of the challenges in the practical use of SR data for drug safety surveillance will be overviewed, and potential ways to mitigate these concerns will be highlighted.
Presented by Sherif Eltonsy
This course will introduce trainees to basic pharmacoepidemiology principles and concepts, including study designs and their basic features. The course will also provide an understanding of bias and confounding in pharmacoepidemiology.
Presented by Bruce Carleton
This course will evaluate the quality of a perinatal outcome study and appraise the value of a fetal pharmacogenomic study. The use of both study types in succession will be discussed.
Trainees in our 2024-2025 cohort will be divided into 2 groups, and each group will present a review of one of the following articles during the journal club.
✓ Moriello C et al. Off-label postpartum use of domperidone in Canada: a multidatabase cohort study. DOI ↗
✓ Raymond M et al. Fetal pharmacogenomics: A promising addition to complex neonatal care. DOI ↗
Presented by Natalie Dayan
In this webinar, we will review historical events and bioethical issues that have led to the systematic exclusion of pregnant and lactating people in clinical trials and discuss challenges to studying these populations, and strategies to overcome them.
Presented by Bruce Carleton
This course will describe key thresholds for evidence-based pharmacogenetic testing as well as limitations and value of commercial panels.
Presented by Bruce Carleton
This course will explore key methods of implementation science in both perinatal epidemiology and pharmacogenomic studies and will have participants designing implementation science methods for a perinatal pharmacogenomic study.
Pre-reading:
✓ Phillips CA et al. Implementation science in pediatric oncology: A narrative review and future directions. DOI ↗
Presented by Bruce Carleton
This course will summarize value and limitations of Big and Small data drug outcome studies and why both study types improve the rigour of each other.
Pre-readings:
✓ Bissel M. Reproducibility: The risks of the replication drive. DOI ↗
✓ Allison DB & Fineberg HV. EPA's proposed transparency rule: Factors to consider, many; planets to live on, one. DOI ↗
Presented by Takoua Boukhris
This webinar will provide you insights on career development in Canada’s public service environment with regards to post-market regulation of pharmaceutical drugs as well as vaccination surveillance and monitoring systems.
During this webinar, key information to be conveyed includes:
✓ Tangible actions you can take to navigate and grow your career in the public service, especially vaccination surveillance and monitoring;
✓ Career growth mindset, factoring in fulsome career development approach in the field of epidemiology from regulation towards to surveillance and monitoring, with concrete example(s) from personal experience within Public Health sector portfolio;
✓ Supports available to you to help you plan, prepare, and take career action steps tailored to your career expectations.
Presented by Bruce Carleton
This course will cover basic pharmacogenomic terminology, research methods and key limitations of these studies.
Pre-readings:
✓ Blumenfeld YJ et al. Maternal-fetal and neonatal pharmacogenomics: a review of current literature. DOI ↗
✓ Crisafulli C et al. Pharmacogenetic and pharmacogenomic discovery strategies. DOI ↗
Presented by Bruno Giros
This journal club aims to deepen critical appraisal skills and develop critical thinking for analyzing and reading scientific articles as it pertains to the study of adverse effects of environmental perturbations on behavior in animal models (in vivo). This session will provide an interactive and social opportunity for peer-to-peer learning, with time for questions and group discussion.
Trainees in our 2024-2025 cohort will be divided into 2 groups, and each group will present a review of one of the following articles during the journal club.
✓ Mourlon V et al. Maternal deprivation induces depressive-like behaviours only in female rats. DOI ↗
✓ Baudin A et al. Maternal deprivation induces deficits in temporal memory and cognitive flexibility and exaggerates synaptic plasticity in the rat medial prefrontal cortex. DOI ↗
Presented by Bruno Giros
Since 10-15 years, reverse pharmacology and the use of state of the art molecular tools allowed to decipher the role and function of any given protein and to deconstruct brain circuitry organization in complex behavior.
Presented by Kenji Momo
This webinar will introduce (1) a Japanese database available for pharmacoepidemiological research, and (2) researches using the dataset. Audiences will learn what is the Japanese database via actual research results obtained using the dataset for future research collaboration.
Presented by Bruno Giros
In this course, basis for neuropharmacology will be covered and we will have an overview of the cellular and molecular brain, to understand why receptors and transporters represent more than 50% of all therapeutical targets and what are the future directions.
Presented by Jessica Gorgui
This webinar will explore the critical role of pharmacovigilance in monitoring drug safety, with a focus on isotretinoin, a treatment for severe acne, and particularly in the context of pregnancy. Different practices in the USA, Canada and Europe will be compared.
Presented by Louise Winn
This course is Part 2 of a series of two that will introduce trainees to the basic principles of drug discovery and development. In this Part 2, a very brief overview of a pharmacologic product from drug discovery to full development will be reviewed, followed by a focus on required toxicology studies, and clinical trials.
Presented by Louise Winn
This course is Part 1 of a series of two that will introduce trainees to the basic principles of drug discovery and development. In this Part 1, an overview of a pharmacologic product from drug discovery to full development will be covered followed by a focus on target identification, drug design and synthesis, and efficacy determination.
Presented by Tania Saba
Understanding the concepts behind equity, diversity and inclusion (EDI) is fundamental to achieving EDI goals and taking a more proactive approach to ensuring that different demographics are better represented in society at large. Addressing the dynamics of EDI is becoming a must and requires a shift in the way we work and deliver health care. Developing an EDI plan that incorporates a vision, mission, concrete actions and evaluation measures is key. Adopting and implementing a scientific and reasoned approach to EDI becomes essential for students, faculty, and health care providers to prevent discriminatory bias against people with different backgrounds and characteristics. By being more aware of our beliefs, committing to change our environment, and taking action, we will help individuals and organizations be more inclusive for those who work there and those who receive health care.
Presented by Andrea Tricco
and Kristi McIntosh, Amanda Doherty-Kirby (patient partners)
This course will explore how to engage patients and public partners and knowledge users in research going through the main steps and elements to consider for co-creation of research with patients and other partners. This course will be presented in collaboration with two patient partners involved in perinatal research.
Presented by Anaïs Lacasse
This course will outline importance and methodological considerations surrounding the integration of sex and gender in pharmacoepidemiology through lectures, group discussions and examples drawn from the medical literature.
Presented by Anick Bérard
This course will present all the basic definitions, and overarching concepts and principles in perinatal pharmacoepidemiology. This will be given as a formal lecture with time for questions at the end.
Presented by Serge McGraw
This workshop will introduce trainees (MSc, PhD and postdocs) on how to organize and write fellowship applications. Trainees will learn what are the common mistakes observed during the reviewing process and how we can avoid them. This workshop will concentrate on Canadian Institutes of Health Research (CIHR) awards, but the ideas will apply to the majority of fellowships.
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