Connie Rees

cxxi Quantitative variables 11 Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why Statistical methods 12 (a) Describe all statistical methods, including those used to control for confounding 9 (b) Describe any methods used to examine subgroups and interactions 9 (c) Explain how missing data were addressed (d) Cohort study—If applicable, explain how loss to follow-up was addressed Case-control study—If applicable, explain how matching of cases and controls was addressed Cross-sectional study—If applicable, describe analytical methods taking account of sampling strategy (e) Describe any sensitivity analyses Results Participants 13* (a) Report numbers of individuals at each stage of study—eg numbers potentially eligible, examined for eligibility, confirmed eligible, included in the study, completing follow-up, and analysed 10 (b) Give reasons for non-participation at each stage 10 (c) Consider use of a flow diagram 10, Fig 2 Descriptive data 14* (a) Give characteristics of study participants (eg demographic, clinical, social) and information on exposures and potential confounders 10 (b) Indicate number of participants with missing data for each variable of interest 10,11 (c) Cohort study—Summarise follow-up time (eg, average and total amount) Outcome data 15* Cohort study—Report numbers of outcome events or summary measures over time 11, 12

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