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09 - Session 3: Missing data; incomplete data; conflicting data

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Session 3

Missing Data

Incomplete Data

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Sally C. Morton

Department of Biostatistics

Member

PCORI Methodology Committee

Co-Investigator

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“Doing research differently”

Car analogy:

Patients moving into the front

seat of research

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• Define terms

• Consider cultures

• Standard statistical approaches may

not work…but it’s worth thinking

about them

• Incentives, feasibility and impact

• Standards?

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PCORI Methodology Report: 47 Standards

• Formulating questions (6) • Patient centeredness (4)

• Data integrity and Rigorous Analyses (6) • Causal inference (6)

• Missing data (5)

• Heterogeneity of treatment effects (4) • Data networks (2); Data registries (3) • Adaptive and Bayesian trial design (5) • Studies of diagnostic tests (5)

• Systematic reviews (1)

• “Regardless of study design, proposals must adhere to all

relevant PCORI methodology standards”

Nov. 19, 2013 –

PCORI today issued its revised PCORI Methodology Report,

which offers minimal requirements for following best practices in the conduct of scientifically valid patient-centered outcomes research.

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PCORI Methodology Standards

• Minimum requirements

• Reflect best practices

• Supported by scientific evidence

• Are used to assess PCORI proposals

• Not meant to be comprehensive

• Means to educate and influence?

• Potential to stifle innovation?

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“Doing methods differently”

Reframe how we conceptualize

and tackle issues of missing,

incomplete, and inconsistent data

References

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