The relative benefits of meta-analysis conducted with individual participant data versus aggregated data.

Cooper, Harris; Patall, Erika A.

doi:10.1037/a0015565

Cited by 292 publications

(340 citation statements)

References 47 publications

(55 reference statements)

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“…Meta-analysis of individual plot data, which is called individual participant data in other scientific disciplines such as the medical and social sciences, provides a much richer and more robust analysis of research data compared with meta-analysis of aggregate data (Cooper and Patall, 2009). Creating N recommendations that provide the farmer or farm advisor with a reliable estimate of the probability that the recommendation will be accurate at the field or subfield level should be the goal of recommendation systems in the future.…”

Section: A Framework For Improving Nitrogenmentioning

confidence: 99%

Strengths and Limitations of Nitrogen Rate Recommendations for Corn and Opportunities for Improvement

et al. 2018

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A gronomy J our n al • Volume 110 , I ssue 1 • 2 018 1 T he goal of an N recommendation system is to accurately estimate the gap between the N provided by the soil and the N required by the plant. Accurately estimating this gap depends on the ability of the recommendation system to accurately estimate fi eld or subfi eld specifi c economically optimal nitrogen rates (EONR). Current recommendation systems are not as accurate as needed to provide consistently reliable estimates of N needs across years at the fi eld or subfi eld scale. Uncontrollable factors like temperature, rainfall timing, intensity and amount, and interactions of temperature and rainfall with factors such as N source, timing and placement, plant genetics, and soil characteristics combine to make N rate recommendations for an individual fi eld or rates for subfi elds a process guided as much by science as by the best professional judgement of farmers and farm advisors.Substantial evidence has accumulated that EONRs can vary widely across fi elds, within fi elds and over years in the same fi eld for a wide range of crops and geographies. Examples ABSTRACTNitrogen fi xation by the Haber-Bosch process has more than doubled the amount of fi xed N on Earth, signifi cantly infl uencing the global N cycle. Much of this fi xed N is made into N fertilizer that is used to produce nearly half of the world's food. Too much of the N fertilizer pollutes air and water when it is lost from agroecosystems through volatilization, denitrifi cation, leaching, and runoff . Most of the N fertilizer used in the United States is applied to corn (Zea mays L.), and the profi tability and environmental footprint of corn production is directly tied to N fertilizer applications. Accurately predicting the amount of N needed by corn, however, has proven to be challenging because of the eff ects of rainfall, temperature, and interactions with soil properties on the N cycle. For this reason, improving N recommendations is critical for profi table corn production and for reducing N losses to the environment. Th e objectives of this paper were to review current methods for estimating N needs of corn by: (i) reviewing fundamental background information about how N recommendations are created; (ii) evaluating the performance, strengths, and limitations of systems and tools used for making N fertilizer recommendations; (iii) discussing how adaptive management principles and methods can improve recommendations; and (iv) providing a framework for improving N fertilizer rate recommendations.

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Section: A Framework For Improving Nitrogenmentioning

confidence: 99%

Strengths and Limitations of Nitrogen Rate Recommendations for Corn and Opportunities for Improvement

et al. 2018

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“…This is the most desirable method of combining the findings of independent studies allowing for the most powerful overall estimates (Cooper, 2017;Cooper & Patall, 2009). Analyses were primarily descriptive, albeit, quantitative.…”

Section: Analysis Of Prevalence Estimatesmentioning

confidence: 99%

End-of-Life Preparations among Lesbian, Gay, Bisexual, and Transgender People: Integrative Review of Prevalent Behaviors

Kcomt

Gorey

2017

Journal of Social Work in End-of-Life & Palliative Care

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“…This statistical approach is consistent with existing recommendations for pooled analysis and meta-analysis of individual-level data from different studies. [11][12][13]24,25 Including the intervention components and units of assignment as factors in the statistical model will allow for estimating effect sizes of the respective intervention combinations relative to one another while accounting for heterogeneity among the communities. Failing to account for the heterogeneity among the projects and communities would produce inflated type I and inferential errors.…”

Section: Impact Evaluationmentioning

confidence: 99%

“…Failing to account for the heterogeneity among the projects and communities would produce inflated type I and inferential errors. 24,26 Likelihood ratio tests will be applied to assess the appropriateness of pooling the data. 22 The target enrollment of the longitudinal cohorts is over 2000 families, with an expectation of at least 20 observations per intervention cell in Table 1.…”

Section: Impact Evaluationmentioning

confidence: 99%

Childhood Obesity Research Demonstration Project: Cross-Site Evaluation Methods

O’Connor

Lee²,

Mehta

et al. 2015

Childhood Obesity

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Introduction: The Childhood Obesity Research Demonstration (CORD) project links public health and primary care interventions in three projects described in detail in accompanying articles in this issue of Childhood Obesity. This article describes a comprehensive evaluation plan to determine the extent to which the CORD model is associated with changes in behavior, body weight, BMI, quality of life, and healthcare satisfaction in children 2-12 years of age.Design/Methods: The CORD Evaluation Center (EC-CORD) will analyze the pooled data from three independent demonstration projects that each integrate public health and primary care childhood obesity interventions. An extensive set of common measures at the family, facility, and community levels were defined by consensus among the CORD projects and EC-CORD. Process evaluation will assess reach, dose delivered, and fidelity of intervention components. Impact evaluation will use a mixed linear models approach to account for heterogeneity among project-site populations and interventions. Sustainability evaluation will assess the potential for replicability, continuation of benefits beyond the funding period, institutionalization of the intervention activities, and community capacity to support ongoing program delivery. Finally, cost analyses will assess how much benefit can potentially be gained per dollar invested in programs based on the CORD model.Conclusions: The keys to combining and analyzing data across multiple projects include the CORD model framework and common measures for the behavioral and health outcomes along with important covariates at the individual, setting, and community levels. The overall objective of the comprehensive evaluation will develop evidence-based recommendations for replicating and disseminating community-wide, integrated public health and primary care programs based on the CORD model.

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The relative benefits of meta-analysis conducted with individual participant data versus aggregated data.

Cited by 292 publications

References 47 publications

Strengths and Limitations of Nitrogen Rate Recommendations for Corn and Opportunities for Improvement

Strengths and Limitations of Nitrogen Rate Recommendations for Corn and Opportunities for Improvement

End-of-Life Preparations among Lesbian, Gay, Bisexual, and Transgender People: Integrative Review of Prevalent Behaviors

Childhood Obesity Research Demonstration Project: Cross-Site Evaluation Methods

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