Choice of estimand and analysis methods in diabetes trials with rescue medication.

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Missing data in clinical trials: control-based mean imputation and sensitivity analysis.

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Choice of estimand and analysis methods in diabetes trials with rescue medication.

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Choice of estimand and analysis methods in diabetes trials with rescue medication.

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Choice of estimand and analysis methods in diabetes trials with rescue medication.

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Choice of estimand and analysis methods in diabetes trials with rescue medication.

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P1476

Choice of estimand and analysis methods in diabetes trials with rescue medication.

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Georgina Bermann

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Mouna Akacha

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P2860

Translating the A1C assay into estimated average glucose values

Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group

The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The Diabetes Control and Complications Trial Research Group

How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory

Handling of rescue and missing data affects synthesis and interpretation of evidence: the sodium-glucose cotransporter 2 inhibitor example.

Analyzing incomplete longitudinal clinical trial data.

Missing data in confirmatory clinical trials.

Multiple imputation approaches for the analysis of dichotomized responses in longitudinal studies with missing data.

Standards of medical care in diabetes--2010.

Assessing methods for dealing with treatment switching in randomised controlled trials: a simulation study.

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433-447

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scholarly article

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10.1002/PST.1705

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Björn Holzhauer

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2015-09-04T00:00:00Z

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26337856

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Choice of estimand and analysis methods in diabetes trials with rescue medication.

about

P2860

P2860

Choice of estimand and analysis methods in diabetes trials with rescue medication.

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