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Related Concept Videos

Archival Research01:40

Archival Research

Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
Data Collection by Experiments01:13

Data Collection by Experiments

Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public clinical trial...
Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Ethics in Research01:56

Ethics in Research

Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
Censoring Survival Data01:09

Censoring Survival Data

Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different reasons...
Data Collection II01:29

Data Collection II

The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...

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Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations
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Methods for obtaining unpublished data.

Taryn Young1, Sally Hopewell

  • 1Centre for Evidence-based Health Care, Faculty of Health Sciences, Stellenbosch University, Tygerberg, South Africa. tyoung@sun.ac.za.

The Cochrane Database of Systematic Reviews
|November 11, 2011
PubMed
Summary
This summary is machine-generated.

Contacting study authors via email is the most effective method for obtaining missing data for systematic reviews, yielding the highest response rates with minimal effort and time. This approach helps minimize publication bias by retrieving unpublished or incomplete study data.

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Area of Science:

  • Health Sciences
  • Medical Research Methodology

Background:

  • Systematic reviews aim to minimize publication bias by seeking unpublished and missing data.
  • Effectiveness of various methods for obtaining this data has not been systematically evaluated.

Purpose of the Study:

  • To assess the effectiveness of different methods for obtaining unpublished studies and missing data for systematic reviews.

Main Methods:

  • Searched Cochrane Methodology Register, MEDLINE, EMBASE, and checked references.
  • Included primary studies comparing methods for obtaining unpublished or missing healthcare data.
  • Assessed proportion of data obtained as the primary outcome.

Main Results:

  • Email correspondence with study authors yielded the highest response rate, fewest attempts, and shortest response time.
  • Requests for clarification of methods were more effective than requests for missing data.
  • Proactive identification of unpublished studies and specific requests to the industry were more fruitful than general requests.

Conclusions:

  • Authors of systematic reviews should continue contacting authors for missing data, acknowledging potential limitations with older studies.
  • Email is the preferred method for contacting authors due to its efficiency and high response rate.