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A strong clinical study begins with a clear research question and a design that can answer it reliably.
The Methods Clinic provides strategic study design support for clinicians, investigators, and research teams developing observational studies, clinical trials, pragmatic trials, and registry-based research.
We work directly with your research idea, clinical context, available data, operational constraints, and intended outcomes. This allows us to recommend methods that are scientifically rigorous while remaining practical within real healthcare settings.
Our support helps ensure that your study is aligned from the outset—from the research question and population to outcome selection, data collection, statistical analysis, and interpretation.
Design decisions made at the beginning of a study influence every stage that follows.
Weak alignment between the research question, study population, outcomes, data collection, and analysis can lead to avoidable bias, unclear findings, operational difficulties, and challenges during peer review.
The Methods Clinic helps identify these risks early and develops a coherent study framework that supports credible interpretation and meaningful clinical conclusions.
We help refine broad clinical ideas into focused, answerable, and scientifically relevant research questions.
We identify the design best suited to your objectives, context, resources, and intended use of the findings.
We support the selection and definition of outcomes that are clinically relevant, measurable, and aligned with the research question.
We consider recruitment, available data, timelines, clinical workflow, and resource limitations when developing the study.
Methodological guidance at every important design decision, helping you develop research that is rigorous, feasible, and clinically meaningful.
Refining the clinical problem into a clear primary question, objectives, and testable hypotheses.
Choosing between observational, experimental, pragmatic, registry-based, prospective, or retrospective approaches.
Defining the target population, study setting, inclusion criteria, exclusion criteria, and recruitment strategy.
Clarifying appropriate comparison groups, interventions, exposure definitions, and treatment strategies.
Defining primary, secondary, exploratory, safety, and patient-centred outcomes.
Identifying potential sources of selection bias, measurement bias, confounding, and other threats to validity.
Providing early methodological input on feasibility, effect assumptions, precision, and sample-size requirements.
Ensuring that the required variables, measurements, time points, and data sources support the proposed analysis.
Connecting the study objectives, estimands, outcomes, and design with an appropriate statistical analysis strategy.
Evaluating whether the proposed study can be implemented effectively within the available clinical and operational environment.
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Developing a clinical study, preparing a grant application, planning an analysis, or refining a manuscript?
