BMJ Research Methods and Reporting: General topics & statistics volume 2

The routine use of patient reported outcome measures in healthcare settings Strengths and weaknesses of hospital standardised mortality ratios Importance of accurately identifying disease in studies using electronic health records Verification problems in diagnostic accuracy studies: consequences and solutions Interpretation of random effects meta-analyses Differential dropout and bias in randomised controlled trials: when it matters and when it may not Rethinking pragmatic randomised controlled trials: introducing the "cohort multiple randomised controlled trial" design Correlation in restricted ranges of data Is a subgroup effect believable? Updating criteria to evaluate the credibility of subgroup analyses Target practice: choosing target conditions for test accuracy studies that are relevant to clinical practice Use of serial qualitative interviews to understand patients' evolving experiences and needs Use of multiperspective qualitative interviews to understand patients' and carers' beliefs, experiences, and needs Meta-analysis of individual participant data: rationale, conduct, and reporting An IV for the RCT: using instrumental variables to adjust for treatment contamination in randomised controlled trials Random measurement error and regression dilution bias The double jeopardy of clustered measurement and cluster randomisation Implementation research: what it is and how to do it A multicomponent decision tool for prioritising the updating of systematic reviews The impact of outcome reporting bias in randomised controlled trials on a cohort of systematic reviews Assessing equity in systematic reviews: realising the recommendations of the Commission on Social Determinants of Health Prognosis and prognostic research: what, why, and how? Prognosis and prognostic research: Developing a prognostic model Prognosis and prognostic research: validating a prognostic model Prognosis and prognostic research: application and impact of prognostic models in clinical practice Ten steps towards improving prognosis research Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes Prognosis Research Strategy (PROGRESS) 2: Prognostic factor research Prognosis Research Strategy (PROGRESS) 3: Prognostic model research Prognosis research strategy (PROGRESS) 4: Stratified medicine research