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BMJ (Clinical Research Ed.) May 2004Anybody can write down a list of questions and photocopy it, but producing worthwhile and generalisable data from questionnaires needs careful planning and imaginative... (Review)
Review
Anybody can write down a list of questions and photocopy it, but producing worthwhile and generalisable data from questionnaires needs careful planning and imaginative design
Topics: Data Collection; Decision Making; Research Design; Sampling Studies; Surveys and Questionnaires
PubMed: 15166072
DOI: 10.1136/bmj.328.7451.1312 -
Journal of Epidemiology and Community... Aug 2004The concept of bias is the lack of internal validity or incorrect assessment of the association between an exposure and an effect in the target population in which the...
The concept of bias is the lack of internal validity or incorrect assessment of the association between an exposure and an effect in the target population in which the statistic estimated has an expectation that does not equal the true value. Biases can be classified by the research stage in which they occur or by the direction of change in a estimate. The most important biases are those produced in the definition and selection of the study population, data collection, and the association between different determinants of an effect in the population. A definition of the most common biases occurring in these stages is given.
Topics: Bias; Confounding Factors, Epidemiologic; Data Collection; Epidemiologic Methods; Humans; Reproducibility of Results; Research Design; Selection Bias; Terminology as Topic
PubMed: 15252064
DOI: 10.1136/jech.2003.008466 -
BMJ (Clinical Research Ed.) Jun 2009Most studies have some missing data. describe the appropriate use and reporting of the multiple imputation approach to dealing with them
Most studies have some missing data. describe the appropriate use and reporting of the multiple imputation approach to dealing with them
Topics: Bias; Biomedical Research; Data Collection; Random Allocation; Research Design
PubMed: 19564179
DOI: 10.1136/bmj.b2393 -
American Journal of Public Health Dec 2021The National Health and Nutrition Examination Survey (NHANES) is a unique source of national data on the health and nutritional status of the US population, collecting...
The National Health and Nutrition Examination Survey (NHANES) is a unique source of national data on the health and nutritional status of the US population, collecting data through interviews, standard exams, and biospecimen collection. Because of the COVID-19 pandemic, NHANES data collection was suspended, with more than a year gap in data collection. NHANES resumed operations in 2021 with the NHANES 2021-2022 survey, which will monitor the health and nutritional status of the nation while adding to the knowledge of COVID-19 in the US population. This article describes the reshaping of the NHANES program and, specifically, the planning of NHANES 2021-2022 for data collection during the COVID-19 pandemic. Details are provided on how NHANES transformed its participant recruitment and data collection plans at home and at the mobile examination center to safely collect data in a COVID-19 environment. The potential implications for data users are also discussed. (. 2021;111(12):2149-2156. https://doi.org/10.2105/AJPH.2021.306517).
Topics: Adult; COVID-19; Communicable Disease Control; Data Collection; Female; Humans; Interviews as Topic; Male; Middle Aged; Nutrition Surveys; Nutritional Status; Pandemics; Physical Examination; SARS-CoV-2; United States; Young Adult
PubMed: 34878854
DOI: 10.2105/AJPH.2021.306517 -
Journal of the American Medical... Mar 2021
Topics: Data Collection; Electronic Health Records; Health Records, Personal; Humans; Machine Learning; Natural Language Processing; Patient Access to Records; Surveys and Questionnaires
PubMed: 33677514
DOI: 10.1093/jamia/ocab040 -
Acta Crystallographica. Section D,... Feb 2019
Topics: Animals; Crystallography, X-Ray; Data Collection; Datasets as Topic; Electrons; Humans; Protein Conformation; Proteins; Software
PubMed: 30821700
DOI: 10.1107/S2059798319002870 -
Annual Review of Clinical Psychology 2013Ambulatory assessment (AA) covers a wide range of assessment methods to study people in their natural environment, including self-report, observational, and... (Review)
Review
Ambulatory assessment (AA) covers a wide range of assessment methods to study people in their natural environment, including self-report, observational, and biological/physiological/behavioral. AA methods minimize retrospective biases while gathering ecologically valid data from patients' everyday life in real time or near real time. Here, we report on the major characteristics of AA, and we provide examples of applications of AA in clinical psychology (a) to investigate mechanisms and dynamics of symptoms, (b) to predict the future recurrence or onset of symptoms, (c) to monitor treatment effects, (d) to predict treatment success, (e) to prevent relapse, and (f) as interventions. In addition, we present and discuss the most pressing and compelling future AA applications: technological developments (the smartphone), improved ecological validity of laboratory results by combined lab-field studies, and investigating gene-environment interactions. We conclude with a discussion of acceptability, compliance, privacy, and ethical issues.
Topics: Data Collection; Humans; Mental Disorders; Monitoring, Ambulatory; Psychology, Clinical
PubMed: 23157450
DOI: 10.1146/annurev-clinpsy-050212-185510 -
American Journal of Public Health Dec 2021
Topics: COVID-19; Data Accuracy; Data Collection; Humans; Influenza, Human; Public Health Surveillance; SARS-CoV-2; Self Report; Surveys and Questionnaires; Time Factors; United States; Zika Virus Infection
PubMed: 34878882
DOI: 10.2105/AJPH.2021.306553 -
American Journal of Botany Apr 2017
Topics: Data Collection; High-Throughput Screening Assays; Image Processing, Computer-Assisted; Information Storage and Retrieval; Phenotype; Plant Physiological Phenomena; Plants
PubMed: 28400413
DOI: 10.3732/ajb.1700044 -
The American Journal of Medicine Nov 2013We provide an overview of the different data-collection approaches that are commonly used in carrying out clinical, public health, and translational research. We discuss... (Review)
Review
We provide an overview of the different data-collection approaches that are commonly used in carrying out clinical, public health, and translational research. We discuss several of the factors that researchers need to consider in using data collected in questionnaire surveys, from proxy informants, through the review of medical records, and in the collection of biologic samples. We hope that the points raised in this overview will lead to the collection of rich and high-quality data in observational studies and randomized controlled trials.
Topics: Biomedical Research; Clinical Laboratory Techniques; Clinical Trials as Topic; Comparative Effectiveness Research; Data Collection; Epidemiologic Research Design; Humans; Interviews as Topic; Medical Records; Research Design; Self Report; Surveys and Questionnaires
PubMed: 24050485
DOI: 10.1016/j.amjmed.2013.04.016