BMJ Research Methods & Reporting: General Topics & Statistics (Volume 2): Study Text (Paperback)
  • BMJ Research Methods & Reporting: General Topics & Statistics (Volume 2): Study Text (Paperback)

BMJ Research Methods & Reporting: General Topics & Statistics (Volume 2): Study Text (Paperback)

Paperback 200 Pages / Published: 07/05/2016
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Sample size calculations: should the emperor's clothes be off the peg or made to measure? Implementation research: what it is and how to do it How to obtain the confidence interval from a P value The Cochrane Collaboration's tool for assessing risk of bias in randomised trials Clinical prediction rules Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes Out of sight but not out of mind: how to search for unpublished clinical trial evidence Interpreting diagnostic accuracy studies for patient care Demystifying trial networks and network meta-analysis Interpreting and reporting clinical trials with results of borderline significance Assessing equity in systematic reviews: realising the recommendations of the Commission on Social Determinants of Health Assessing the value of diagnostic tests: a framework for designing and evaluating trials Three techniques for integrating data in mixed methods studies Dangers of non-specific composite outcome measures in clinical trials Cascade diagrams for depicting complex interventions in randomised trials Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials Brackets (parentheses) in formulas Comparisons within randomised groups can be very misleading Uncertainties in baseline risk estimates and confidence in treatment effects How to obtain the P value from a confidence interval Diagnostic accuracy studies: how to report and analyse inconclusive test results Making inferences on treatment effects from real world data: propensity scores, confounding by indication, and other perils for the unwary in observational research The impact of outcome reporting bias in randomised controlled trials on a cohort of systematic reviews Prognosis research strategy (PROGRESS) 4: Stratified medicine research Value of composite reference standards in diagnostic research Statistics Notes: Missing outcomes in randomised trials Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls When is a further clinical trial justified? Strategy for intention to treat analysis in randomised trials with missing outcome data The routine use of patient reported outcome measures in healthcare settings An IV for the RCT: using instrumental variables to adjust for treatment contamination in randomised controlled trials Verification problems in diagnostic accuracy studies: consequences and solutions Taking healthcare interventions from trial to practice Interpretation of random effects meta-analyses Differential dropout and bias in randomised controlled trials: when it matters and when it may not The tyranny of power: is there a better way to calculate sample size? A multicomponent decision tool for prioritising the updating of systematic reviews Rethinking pragmatic randomised controlled trials: introducing the "cohort multiple randomised controlled trial" design Correlation in restricted ranges of data Clinicians are right not to like Cohen's {kappa} Prognosis and prognostic research: what, why, and how? 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 Ten steps towards improving prognosis research Use of serial qualitative interviews to understand patients' evolving experiences and needs Importance of accurately identifying disease in studies using electronic health records Prognosis and prognostic research: validating a prognostic model Prognosis and prognostic research: application and impact of prognostic models in clinical practice Use of multiperspective qualitative interviews to understand patients' and carers' beliefs, experiences, and needs Meta-analysis of individual participant data: rationale, conduct, and reporting Prognosis and prognostic research: Developing a prognostic model Strengths and weaknesses of hospital standardised mortality ratios Random measurement error and regression dilution bias The double jeopardy of clustered measurement and cluster randomisation Prognosis Research Strategy (PROGRESS) 2: Prognostic factor research Prognosis Research Strategy (PROGRESS) 3: Prognostic model research

Publisher: BPP Learning Media
ISBN: 9781472747617
Number of pages: 200
Weight: 440 g
Dimensions: 297 x 210 x 9 mm

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