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1. bmcpsychiatry.biomedcentral.com › articles › 10Missing outcome data in randomised clinical trials of ...

   bmcpsychiatry.biomedcentral.com › articles › 10

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   Nov 14, 2024 · Missing outcome data stratified by type of participants. Fisher’s exact test showed that the type of diagnosis was associated with the proportion of missing outcome data (p < 0.001).

2. www.sciencedirect.com › science › articleThe proportion of missing data should not be used to guide ...

   www.sciencedirect.com › science › article

   Jun 1, 2019 · Table 4 shows that the proportion of missing data in the outcome variable was 62%, with all auxiliary variables having a lower proportion of missing data. IQ at age of eight years and maths assessment score explained the most variance in the outcome.

   • Author: Paul Madley-Dowd, Rachael Hughes, Kate Tilling, Jon Heron

   • Publish Year: 2019

3. handbook-5-1.cochrane.org › chapter_8 › 8_13_2_1_low8.13.2.1 Low risk of bias due to incomplete outcome data

   handbook-5-1.cochrane.org › chapter_8 › 8_13_2_1_low

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   The potential impact of missing dichotomous outcomes depends on the frequency (or risk) of the outcome. For example, if 10% of participants have missing outcomes, then their potential impact on the results is much greater if the risk of the event is 10% than if it is 50%.

4. www.bmj.com › content › 370Potential impact of missing outcome data on treatment effects ...

   www.bmj.com › content › 370

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   Aug 26, 2020 · Systematic review authors should present the potential impact of missing outcome data on their effect estimates and use this to inform their overall GRADE (grading of recommendations assessment, development, and evaluation) ratings of risk of bias and their interpretation of the results.

   • Author: Lara A Kahale, Lara A Kahale, Assem M Khamis, Batoul Diab, Yaping Chang, Luciane Cruz Lopes, Arnav A...

   • Publish Year: 2020

5. pubmed.ncbi.nlm.nih.gov › 25407057Handling missing data in RCTs; a review of the top medical ...

   pubmed.ncbi.nlm.nih.gov › 25407057

   Nov 19, 2014 · The median percentage of participants with a missing outcome was 9% (range 0 - 70%).

   • Author: Melanie L. Bell, Mallorie Fiero, Nicholas J. Horton, Chiu Hsieh Hsu

   • Publish Year: 2014

6. www.researchgate.net › publication › 385823806(PDF) Missing outcome data in randomised clinical trials of ...

   www.researchgate.net › publication › 385823806

   Nov 14, 2024 · The overall mean percentage of missing outcome data was 18.3% (95% confidence interval (CI): 16.7–20%) for all outcomes. ... and optimal methods of handling participants with missing outcome data .

7. People also ask

   What percentage of participants are missing outcome data?

   • The median percentage of participants with potential missing outcome data was 9.7% (4.1-19.9%) and with total possible missing data was 11.7% (5.6-23.7%). Only three trials provided a reason for missingness (eg, missing at random).

   Potential impact of missing outcome data on treatment effects in

   www.bmj.com/content/370/bmj.m2898

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   What is the proportion of missing data in the outcome variable?

   • Results Table 4 shows that the proportion of missing data in the outcome variable was 62%, with all auxiliary variables having a lower proportion of missing data. IQ at age of eight years and maths assessment score explained the most variance in the outcome. Intelligibility and ever having a learning disability were the weakest predictors.

   The proportion of missing data should not be used to guide decision…

   www.sciencedirect.com/science/article/pii/S0895435618308710

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   What is the potential impact of missing data?

   • Generally, the higher the ratio of participants with missing data to participants with events, the greater potential there is for bias. In trial A this ratio was 100/450 (0.2), whereas in Trial B it was 100/90 (1.1). The potential impact of missing continuous outcomes increases with the proportion of participants with missing data.

   8.13.2.1 Low risk of bias due to incomplete outcome data - Cochrane

   handbook-5-1.cochrane.org/chapter_8/8_13_2_1_low_risk_of_bias_due_to_incomplete_outcome_data.htm

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   What should a systematic review author do about missing outcome data?

   • Systematic review authors should present the potential impact of missing outcome data on their effect estimates and use this to inform their overall GRADE (grading of recommendations assessment, development, and evaluation) ratings of risk of bias and their interpretation of the results.

   Potential impact of missing outcome data on treatment effects in

   www.bmj.com/content/370/bmj.m2898

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   Can missing data prevent review authors from assessing a dichotomous outcome?

   • In practice, incomplete reporting of reasons for missing outcomes may prevent review authors from making this assessment. Potential impact of missing data on effect estimates The potential impact of missing dichotomous outcomes depends on the frequency (or risk) of the outcome.

   8.13.2.1 Low risk of bias due to incomplete outcome data - Cochrane

   handbook-5-1.cochrane.org/chapter_8/8_13_2_1_low_risk_of_bias_due_to_incomplete_outcome_data.htm

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   What is the potential impact of missing dichotomous outcomes?

   • The potential impact of missing dichotomous outcomes depends on the frequency (or risk) of the outcome. For example, if 10% of participants have missing outcomes, then their potential impact on the results is much greater if the risk of the event is 10% than if it is 50%. The following table illustrates the potential impact of observed risks.

   8.13.2.1 Low risk of bias due to incomplete outcome data - Cochrane

   handbook-5-1.cochrane.org/chapter_8/8_13_2_1_low_risk_of_bias_due_to_incomplete_outcome_data.htm

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8. www.ncbi.nlm.nih.gov › pmc › articlesRandomized trials with missing outcome data: how to analyze ...

   www.ncbi.nlm.nih.gov › pmc › articles

   Oct 10, 2014 · Nevertheless, missing outcomes are almost inevitable (e.g., if patients do not return for follow-up appointments) regardless of precautions, and loss of outcome information can amount to 50%. 4 In this article, we aim to explain and illustrate the main problem of missing outcomes in the analyses of randomized trials, potential solutions, and wha...