The key issue is therefore not how to include all participants

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We focused on patients who were initially admitted for heart failure, acute myocardial infarction pandora jewelry, or pneumonia as these illnesses are among the most common causes of admission in older people8 and are the focus of performance based reimbursement by the Centers for Medicare and Medicaid Services.4 5 9Data sources and study populationWe used Medicare standard analytic and denominator files to identify index admissions to acute care hospitals in 2007 09 with a principal discharge diagnosis of heart failure, acute myocardial infarction, or pneumonia. Cohorts were defined with ICD 9 (international classification of diseases, 9th revision https://www.pandoracharm2013.ca/, clinical modification) codes used in readmission measures publically reported by the Centers for Medicare and Medicaid Services (table A in appendix 1).10 11 12 We included patients aged 65 and older with a complete claims history for one year before admission. Reasons for exclusion included death in hospital, less than 30 days after discharge with enrollment in Medicare fee for service, transfer to another acute care facility, and discharge against medical advice.10 11 12 To provide more reliable estimates of hospital performance, we did not include patients from hospitals with fewer than 25 index admissions for each condition or no readmissions over the study period.

pandora necklaces We argue that all observed data should be included in the analysis, but undue focus on including all randomised participants can be unhelpful because participants with no post randomisation data can contribute to the results only through untestable assumptions. The key issue is therefore not how to include all participants but what assumptions about the missing data are most plausibly correct, and how to perform appropriate analyses based on these assumptions. We now expand on these four points.Strategy for intention to treat analysis with incomplete observations1. pandora necklaces

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