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How do I analyse data from a cohort study?
Cohort study data analysis:- Define groups: Exposed vs. unexposed (or comparison cohorts) Describe data: Baseline characteristics (means, proportions) Calculate outcomes: Incidence, risk, or rates Compare groups: Risk ratio (RR) or rate ratio Survival analysis if follow-up time varies Adjust for conRead more
Cohort study data analysis:-
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See lessDefine groups: Exposed vs. unexposed (or comparison cohorts)
Describe data: Baseline characteristics (means, proportions)
Calculate outcomes: Incidence, risk, or rates
Compare groups:
Risk ratio (RR) or rate ratio
Survival analysis if follow-up time varies
Adjust for confounders: Use regression (e.g., Cox, Poisson, logistic)
Check assumptions & missing data
Interpret clinically, not just statistically
When should we get a regression analysis done for our data and is it really required?
Use regression analysis when you want to quantify and test relationships between variables or make predictions. It is not always required. When you should use it You want to see how one or more factors affect an outcome You need to adjust for confounders You want to predict values (e.g., risk, scoreRead more
Use regression analysis when you want to quantify and test relationships between variables or make predictions. It is not always required.
When you should use it
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You want to see how one or more factors affect an outcome
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You need to adjust for confounders
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You want to predict values (e.g., risk, scores, trends)
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You are testing associations or hypotheses, not just describing data
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Your goal is only descriptive (means, percentages, frequencies)
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You are comparing groups with simple tests (t-test, chi-square, ANOVA)
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Sample size or data quality is insufficient for reliable modeling
See lessWhen it’s not required
When should I consult a statistician?
You should consult a statistician when: Before starting a study: study design, sample size, variables While planning analysis: choosing appropriate tests or models With complex data: multiple variables, missing data, repeated measures When using advanced methods: regression, survival analysis, mixedRead more
You should consult a statistician when:
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Before starting a study: study design, sample size, variables
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While planning analysis: choosing appropriate tests or models
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With complex data: multiple variables, missing data, repeated measures
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When using advanced methods: regression, survival analysis, mixed models
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If results are unclear or conflicting
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Before publication: to ensure correct analysis and interpretation
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