
🔬 Research & Academia · Flowchart
Design figure for a prospective cohort study: exposed and unexposed groups followed over time to compare outcomes.
Drawing diagram…
Prospective cohort study design figure: a defined population is recruited, exposure status is measured at baseline and participants are split into an exposed cohort and an unexposed cohort. Both cohorts are followed over time with follow-up visits, outcomes are recorded as developed or not developed, and relative risk is calculated after adjusting for confounders.
flowchart LR
P["Source population"] --> R["Recruitment and<br/>baseline measurement"]
R --> E{"Exposure status"}
E --> X1["Exposed cohort"]
E --> X2["Unexposed cohort"]
X1 --> F1["Follow-up over time"]
X2 --> F2["Follow-up over time"]
F1 --> O1["Outcome developed"]
F1 --> N1["Outcome not developed"]
F2 --> O2["Outcome developed"]
F2 --> N2["Outcome not developed"]
O1 --> A["Compare incidence<br/>relative risk<br/>adjusted for confounders"]
O2 --> AThe standard flow diagram for a systematic review: records identified, screened, assessed for eligibility and included. Replace each n with your own counts.
The CONSORT flow diagram for a randomised trial: enrolment, allocation to two arms, follow-up and analysis, with the numbers lost at each stage.
Study-design figure for a randomised controlled trial: population, randomisation, two arms, measurements and outcomes.
A conceptual framework with independent, mediating, moderating and dependent variables, plus control variables. Rename the boxes for your own study.
The experiment pipeline figure for a machine-learning paper: data, preprocessing, splits, model training, evaluation, ablation and statistical testing.
The six steps of thematic analysis (Braun and Clarke) as a process figure, from familiarisation to the written report.