90 datasets found
  1. f

    Baseline statistics of follow-up cohorts.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Nov 12, 2014
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    Gierman, Hinco J.; Hood, Leroy; Coles, Natalie S.; Coles, L. Stephen; Smith, Justin D.; Li, Hong; Kim, Stuart K.; Fortney, Kristen; Roach, Jared C.; Glusman, Gustavo; Markov, Glenn J. (2014). Baseline statistics of follow-up cohorts. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001221439
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    Dataset updated
    Nov 12, 2014
    Authors
    Gierman, Hinco J.; Hood, Leroy; Coles, Natalie S.; Coles, L. Stephen; Smith, Justin D.; Li, Hong; Kim, Stuart K.; Fortney, Kristen; Roach, Jared C.; Glusman, Gustavo; Markov, Glenn J.
    Description

    Ages for Georgia Centenarian Study subjects were obtained from Corriell website. Number of females from NHLBI cohort was derived for X chromosome genotypes. Age information for NHLBI controls was obtained from www.nhlbi.nih.gov/recovery/media/NHLBI_DNA_cohort.htm.Baseline statistics of follow-up cohorts.

  2. Frequency with which sales professionals used WhatsApp for follow-ups in...

    • statista.com
    Updated Jul 21, 2023
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    Statista (2023). Frequency with which sales professionals used WhatsApp for follow-ups in Brazil 2024 [Dataset]. https://www.statista.com/statistics/1399050/frequency-sales-whatsapp-follow-ups-brazil/
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    Dataset updated
    Jul 21, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    During a survey among sales professionals in Brazil published in 2024, around ** percent reported using WhatsApp daily for negotiations or follow-ups. Around ** percent used the mobile messaging app in that context at least once a week. According to the same study, WhatsApp was Brazil's top channel for sales leads that year.

  3. Principal Follow-Up Survey, 2016-17

    • catalog.data.gov
    Updated Aug 12, 2023
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    National Center for Education Statistics (NCES) (2023). Principal Follow-Up Survey, 2016-17 [Dataset]. https://catalog.data.gov/dataset/principal-follow-up-survey-2016-17-796d7
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    Dataset updated
    Aug 12, 2023
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    The Principal Follow-Up Survey, 2016-17 (PFS 16/17) is a data collection that is part of the National Teacher and Principal Survey program; program data are available since 2017 at https://nces.ed.gov/pubsearch/licenses.asp. PFS 16/17 (https://nces.ed.gov/surveys/ntps/overview.asp?OverviewType=6) is a longitudinal follow-up to the National Teacher and Principal Survey, 2015-16 (NTPS 2015-16) data collection. PFS 16/17 determined mobility patterns of principals in the base (NTPS 2015-16) school year. The PFS 16/17 sample includes all schools whose principals completed questionnaires in NTPS 2015-16. Schools and principals were mailed the PFS questionnaire. Nonrespondents were followed-up via telephone. Key statistics produced from PFS 16/17 include the number of principals that still worked as a principal in the same school in the following school year, how many moved to become a principal in another school, how many left the principalship altogether, and from those who left the principalship, what percentage retired or sought work in another occupational field.

  4. r

    Evaluation through follow-up - pupils born in 1972 (Student Panel 2)

    • researchdata.se
    Updated Aug 15, 2024
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    Kjell Härnqvist; Sven-Erik Reuterberg; Allan Svensson (2024). Evaluation through follow-up - pupils born in 1972 (Student Panel 2) [Dataset]. https://researchdata.se/en/catalogue/dataset/snd0480-4
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    Dataset updated
    Aug 15, 2024
    Dataset provided by
    University of Gothenburg
    Authors
    Kjell Härnqvist; Sven-Erik Reuterberg; Allan Svensson
    Time period covered
    1982 - 1992
    Area covered
    Sweden
    Description

    Since the beginning of the 1960s, Statistics Sweden, in collaboration with various research institutions, has carried out follow-up surveys in the school system. These surveys have taken place within the framework of the IS project (Individual Statistics Project) at the University of Gothenburg and the UGU project (Evaluation through follow-up of students) at the University of Teacher Education in Stockholm, which since 1990 have been merged into a research project called 'Evaluation through Follow-up'. The follow-up surveys are part of the central evaluation of the school and are based on large nationally representative samples from different cohorts of students.

    Evaluation through follow-up (UGU) is one of the country's largest research databases in the field of education. UGU is part of the central evaluation of the school and is based on large nationally representative samples from different cohorts of students. The longitudinal database contains information on nationally representative samples of school pupils from ten cohorts, born between 1948 and 2004. The sampling process was based on the student's birthday for the first two and on the school class for the other cohorts.

    For each cohort, data of mainly two types are collected. School administrative data is collected annually by Statistics Sweden during the time that pupils are in the general school system (primary and secondary school), for most cohorts starting in compulsory school year 3. This information is provided by the school offices and, among other things, includes characteristics of school, class, special support, study choices and grades. Information obtained has varied somewhat, e.g. due to changes in curricula. A more detailed description of this data collection can be found in reports published by Statistics Sweden and linked to datasets for each cohort.

    Survey data from the pupils is collected for the first time in compulsory school year 6 (for most cohorts). Questionnaire in survey in year 6 includes questions related to self-perception and interest in learning, attitudes to school, hobbies, school motivation and future plans. For some cohorts, questionnaire data are also collected in year 3 and year 9 in compulsory school and in upper secondary school.

    Furthermore, results from various intelligence tests and standartized knowledge tests are included in the data collection year 6. The intelligence tests have been identical for all cohorts (except cohort born in 1987 from which questionnaire data were first collected in year 9). The intelligence test consists of a verbal, a spatial and an inductive test, each containing 40 tasks and specially designed for the UGU project. The verbal test is a vocabulary test of the opposite type. The spatial test is a so-called ‘sheet metal folding test’ and the inductive test are made up of series of numbers. The reliability of the test, intercorrelations and connection with school grades are reported by Svensson (1971).

    For the first three cohorts (1948, 1953 and 1967), the standartized knowledge tests in year 6 consist of the standard tests in Swedish, mathematics and English that up to and including the beginning of the 1980s were offered to all pupils in compulsory school year 6. For the cohort 1972, specially prepared tests in reading and mathematics were used. The test in reading consists of 27 tasks and aimed to identify students with reading difficulties. The mathematics test, which was also offered for the fifth cohort, (1977) includes 19 assignments. After a changed version of the test, caused by the previously used test being judged to be somewhat too simple, has been used for the cohort born in 1982. Results on the mathematics test are not available for the 1987 cohort. The mathematics test was not offered to the students in the cohort in 1992, as the test did not seem to fully correspond with current curriculum intentions in mathematics. For further information, see the description of the dataset for each cohort.

    For several of the samples, questionnaires were also collected from the students 'parents and teachers in year 6. The teacher questionnaire contains questions about the teacher, class size and composition, the teacher's assessments of the class' knowledge level, etc., school resources, working methods and parental involvement and questions about the existence of evaluations. The questionnaire for the guardians includes questions about the child's upbringing conditions, ambitions and wishes regarding the child's education, views on the school's objectives and the parents' own educational and professional situation.

    The students are followed up even after they have left primary school. Among other things, data collection is done during the time they are in high school. Then school administrative data such as e.g. choice of upper secondary school line / program and grades after completing studies. For some of the cohorts, in addition to school administrative data, questionnaire data were also collected from the students.

  5. i

    Grant Giving Statistics for Follow-Up Ministries

    • instrumentl.com
    Updated Aug 6, 2025
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    (2025). Grant Giving Statistics for Follow-Up Ministries [Dataset]. https://www.instrumentl.com/990-report/follow-up-ministries-24c3b83f-9e3d-49f6-bbc8-c5de8f930a60
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    Dataset updated
    Aug 6, 2025
    Description

    Financial overview and grant giving statistics of Follow-Up Ministries

  6. w

    Teacher Follow-Up Survey, 1991-92

    • data.wu.ac.at
    • catalog.data.gov
    zip
    Updated Oct 13, 2016
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    Department of Education (2016). Teacher Follow-Up Survey, 1991-92 [Dataset]. https://data.wu.ac.at/schema/data_gov/OGRjNDQzYWYtMWZmOC00ZTk1LTk3YzctOTBiNTNjNTU5NDhl
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    zipAvailable download formats
    Dataset updated
    Oct 13, 2016
    Dataset provided by
    Department of Education
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    7af6017c77e3854e5ef4c7a1f94ad8fc726d08e1
    Description

    The 1991-92 Teacher Follow-Up Survey (TFS 91-92) is a longitudinal follow-up to the 1990-91 Schools and Staffing Survey (SASS 90-91). TFS 91-92 (https://nces.ed.gov/surveys/sass/index.asp) is used to determine how many teachers remained at the same school, moved to another school, or left the profession in the year following the Schools and Staffing Survey (SASS) administration. TFS 91-92 was administered to a sample of teachers who completed the SASS in the previous year. Key statistics found from 1991-92 TFS are the percentage of teachers who remained at the same school, the percentage of teachers who moved to another school, or the percentage of teachers who left the profession in the year following the 1990-91 Schools and Staffing Survey (SASS) administration.

  7. National Health and Nutrition Examination Survey I: Epidemiologic Followup...

    • icpsr.umich.edu
    ascii
    Updated Feb 17, 1992
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    United States Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Health Statistics (1992). National Health and Nutrition Examination Survey I: Epidemiologic Followup Study, 1986 [Dataset]. http://doi.org/10.3886/ICPSR09466.v1
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    asciiAvailable download formats
    Dataset updated
    Feb 17, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Health Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/9466/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/9466/terms

    Time period covered
    1986
    Area covered
    United States
    Description

    The NHANES I Epidemiologic Followup Study (NHEFS) is a longitudinal study of adults originally examined, measured, and interviewed in 1971-1975 as part of the first National Health and Nutrition Examination Survey (NHANES I). The NHEFS was jointly initiated by the National Center for Health Statistics (NCHS), the National Institute on Aging, and other components of the National Institutes of Health and Public Health Service. The primary purpose of the followup study is to investigate longitudinal relationships between the extensive data on physiological, nutritional, behavioral, and demographic characteristics collected during NHANES I and subsequent morbidity or mortality from specific diseases and conditions. The 1982-1984 wave of data collection for NHEFS followed all medically examined respondents who had been 25 to 74 years in 1971-1975. The 1986 NHEFS wave focused on older members of the NHANES I NHEFS cohorts, those who had been 55-74 years of age at their baseline examinations in 1971-1975 and were not known to be deceased at the time of the 1982-1984 NHEFS. In the 1986 NHEFS, the surviving respondents were 65-89 years of age. Data were collected on changes in vital, health, and functional status and use of health care services that had occurred since the last contact, whether the contact was in 1982-1984 or 1971-1975. The vital and tracing status file documents efforts to trace all subjects who had been 55 years of age and over at NHANES I (N = 5,677) and ascertain their vital status and demographic data. Further data collection was aimed at the 3,980 subjects who were not known to be deceased by 1982-1984. Thirty-minute telephone interviews were conducted with either sample members (N = 2,558) or with proxies for the incapacitated (N = 469) and deceased (N = 581) subjects. Questions were asked on household composition, self-reports of physician-diagnosed medical conditions (with detail on reports of cancer, bone fractures, and non-hospital health facility stays), death if applicable, functional limitations, use of health care facilities, and interviewer observations about the respondent. Items on coronary bypass surgery, pacemaker procedures, and community services utilization were 1986 additions to the NHEFS questionnaire. For those respondents who had not been interviewed in 1982-1984, questions were included on smoking and alcohol use, vision and hearing, exercise and weight, and pregnancy and menstrual history. Health care facility records were abstracted to provide diagnostic and summary information on single or multiple overnight stays in hospitals and nursing homes for 2,021 subjects reporting such stays. Death certificate data, including International Classification of Diseases, 9th Revision codes for multiple causes of death, were added for 661 decedents reported since the 1982-1984 wave, for a total of 2,266 decedents.

  8. Canada: number of follow-up actions after mobile search 2015, by category

    • statista.com
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    Statista, Canada: number of follow-up actions after mobile search 2015, by category [Dataset]. https://www.statista.com/statistics/438278/follow-up-mobile-search-canada/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 6, 2015 - Mar 5, 2015
    Area covered
    Canada
    Description

    This statistic shows the responses to a survey about mobile search behavior in Canada as of March 2015. During the reported period, mobile search users performed on average **** follow-up actions after an auto search.

  9. d

    Leonard M Jennings Follow Up 1

    • catalog.data.gov
    • data.wa.gov
    • +2more
    Updated Jun 29, 2025
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    data.wa.gov (2025). Leonard M Jennings Follow Up 1 [Dataset]. https://catalog.data.gov/dataset/leonard-m-jennings-follow-up-1
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.wa.gov
    Description

    Leonard M Jennings lead in drinking water follow up test results

  10. Virtual visits with in-person follow-up on Zocdoc in the U.S. 2023, by...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Virtual visits with in-person follow-up on Zocdoc in the U.S. 2023, by specialty [Dataset]. https://www.statista.com/statistics/1477969/virtual-visits-with-in-person-follow-up-in-the-us-by-specialty/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, nearly half of all virtual obstetrics and gynecology visits made in the United States via Zocdoc were followed up by in-person visits. In contrast, only ***** percent of virtual mental health and urgent care visits were followed up with an in-person visit.

  11. r

    Evaluation through follow-up

    • researchdata.se
    • gimi9.com
    • +1more
    Updated Aug 15, 2024
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    Kjell Härnqvist; Allan Svensson; Alli Klapp; Victoria Rolfe (2024). Evaluation through follow-up [Dataset]. https://researchdata.se/en/catalogue/dataset/snd0480-1
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    (252271)Available download formats
    Dataset updated
    Aug 15, 2024
    Dataset provided by
    University of Gothenburg
    Authors
    Kjell Härnqvist; Allan Svensson; Alli Klapp; Victoria Rolfe
    Time period covered
    1961 - 2010
    Area covered
    Sweden
    Description

    UGU stands for "Evaluation Through Follow-up" and is one of the country's largest research study in the field of education, the country's largest survey of schools. As part of the national evaluation of the school, our study contributes with nationally representative data that can be linked to other databases. Researchers in psychology, economics, political science and pedagogy use our longitudinal data to know more about the Swedish school system and the labour market.

    Today, UGU's working group consists of 10 people who work to varying degrees with the management, planning and development of the study. Metadata is available as codebooks on the website and increases the accessibility of data for interested researchers. Metadata increases the searchability and reuse of data in accordance with the FAIR principles.

    The data set within the UGU project constitutes a valuable resource for the research community and for the education of students at different levels. Data are available on request for researchers and doctoral students at Swedish and foreign universities and colleges. There are restrictions on delivery to countries outside the EU. Inquiries about the data set are made by contacting the datamanager via email or telephone. Disclosure of data takes place after a formal request by filling in a user agreement. The agreement must be accompanied by a description of the project and a list of desired variables.

  12. M

    Global Servo Follow-Up Control System Market Growth Opportunities 2025-2032

    • statsndata.org
    excel, pdf
    Updated Oct 2025
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    Stats N Data (2025). Global Servo Follow-Up Control System Market Growth Opportunities 2025-2032 [Dataset]. https://www.statsndata.org/report/servo-follow-up-control-system-market-204062
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    pdf, excelAvailable download formats
    Dataset updated
    Oct 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Servo Follow-Up Control System market plays a critical role in various industrial applications by enhancing precision and efficiency in automated processes. These systems utilize sophisticated servo motors to provide real-time feedback and adjustments, ensuring that machinery operates smoothly and accurately. In

  13. r

    2015-06-05 APRA Response for follow up on ERSRI contribution data - Dataset...

    • data.treasury.ri.gov
    Updated Jun 5, 2015
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    (2015). 2015-06-05 APRA Response for follow up on ERSRI contribution data - Dataset - Office of the General Treasurer Data Portal [Dataset]. https://data.treasury.ri.gov/dataset/2015-06-05-apra-response-for-follow-up-on-ersri-contribution-data
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    Dataset updated
    Jun 5, 2015
    Description

    Follow up request re ERSRI contribution data

  14. f

    Descriptive statistics of student sample in intervention and control schools...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Aug 15, 2018
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    Goessmann, Katharina; Hermenau, Katharin; Nkuba, Mabula; Hecker, Tobias (2018). Descriptive statistics of student sample in intervention and control schools at pre- and follow-up assessment. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000683324
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    Dataset updated
    Aug 15, 2018
    Authors
    Goessmann, Katharina; Hermenau, Katharin; Nkuba, Mabula; Hecker, Tobias
    Description

    Descriptive statistics of student sample in intervention and control schools at pre- and follow-up assessment.

  15. File S1 - A Novel Approach to Accounting for Loss to Follow-Up when...

    • plos.figshare.com
    docx
    Updated Jun 3, 2023
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    Matthew Fox; Owen McCarthy; Mead Over (2023). File S1 - A Novel Approach to Accounting for Loss to Follow-Up when Estimating the Relationship between CD4 Count at ART Initiation and Mortality [Dataset]. http://doi.org/10.1371/journal.pone.0069300.s001
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    docxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Matthew Fox; Owen McCarthy; Mead Over
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    File S1 includes Appendix S1, Appendix S2, Appendix S3, Appendix S4. Appendix S1: Search terms used to identify studies of one year mortality on antiretroviral therapy. Appendix S2: Full citations for studies reviewed. Appendix S3: Illustration of a distribution used to impute CD4 count with bands. Appendix S4: CD4 coefficient (bottom) and model fit (F-statistic – top) for the relationship between one year mortality on ART and baseline CD4 count using varying assumptions about the amount of mortality among those lost to follow-up. (DOCX)

  16. f

    Data dictionary for the ACTORDS 20-year follow-up study

    • auckland.figshare.com
    csv
    Updated Oct 16, 2025
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    Robyn May (2025). Data dictionary for the ACTORDS 20-year follow-up study [Dataset]. http://doi.org/10.17608/k6.auckland.28732205.v1
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    csvAvailable download formats
    Dataset updated
    Oct 16, 2025
    Dataset provided by
    The University of Auckland
    Authors
    Robyn May
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Metadata (data dictionary) and statistical analysis plan (including outcomes definitions for data dictionary) for the ACTORDS 20-year follow-up study. The DOI for the primary study publication is https://doi.org/10.1371/journal.pmed.1004618.Data and associated documentation for participants who have consented to future re-use of their data are available to other users under the data sharing arrangements provided by the University of Auckland’s Human Health Research Services (HHRS) platform (https://research-hub.auckland.ac.nz/subhub/human-health-research-services-platform). The data dictionary and metadata are published on the University of Auckland’s data repository Figshare, which allocates a DOI and thus makes these details searchable and available indefinitely. Researchers are able to use this information and the provided contact address (dataservices@auckland.ac.nz) to request a de-identified dataset through the HHRS Data Access Committee. Data will be shared with researchers who provide a methodologically sound proposal and have appropriate ethical approval, where necessary, to achieve the research aims in the approved proposal. Data requestors are required to sign a Data Access Agreement that includes a commitment to using the data only for the specified proposal, not to attempt to identify any individual participant, a commitment to secure storage and use of the data, and to destroy or return the data after completion of the project. The HHRS platform reserves the right to charge a fee to cover the costs of making data available, if needed, for data requests that require additional work to prepare.

  17. Data from: University of Washington - Beyond High School (UW-BHS)

    • icpsr.umich.edu
    • search.datacite.org
    ascii, delimited, r +3
    Updated Feb 15, 2016
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    Hirschman, Charles; Almgren, Gunnar (2016). University of Washington - Beyond High School (UW-BHS) [Dataset]. http://doi.org/10.3886/ICPSR33321.v5
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    delimited, r, ascii, spss, stata, sasAvailable download formats
    Dataset updated
    Feb 15, 2016
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Hirschman, Charles; Almgren, Gunnar
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/33321/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/33321/terms

    Time period covered
    2000 - 2010
    Area covered
    United States, Washington
    Description

    The University of Washington - Beyond High School (UW-BHS) project surveyed students in Washington State to examine factors impacting educational attainment and the transition to adulthood among high school seniors. The project began in 1999 in an effort to assess the impact of I-200 (the referendum that ended Affirmative Action) on minority enrollment in higher education in Washington. The research objectives of the project were: (1) to describe and explain differences in the transition from high school to college by race and ethnicity, socioeconomic origins, and other characteristics, (2) to evaluate the impact of the Washington State Achievers Program, and (3) to explore the implications of multiple race and ethnic identities. Following a successful pilot survey in the spring of 2000, the project eventually included baseline and one-year follow-up surveys (conducted in 2002, 2003, 2004, and 2005) of almost 10,000 high school seniors in five cohorts across several Washington school districts. The high school senior surveys included questions that explored students' educational aspirations and future career plans, as well as questions on family background, home life, perceptions of school and home environments, self-esteem, and participation in school related and non-school related activities. To supplement the 2000, 2002, and 2003 student surveys, parents of high school seniors were also queried to determine their expectations and aspirations for their child's education, as well as their own educational backgrounds and fields of employment. Parents were also asked to report any financial measures undertaken to prepare for their child's continued education, and whether the household received any form of financial assistance. In 2010, a ten-year follow-up with the 2000 senior cohort was conducted to assess educational, career, and familial outcomes. The ten year follow-up surveys collected information on educational attainment, early employment experiences, family and partnership, civic engagement, and health status. The baseline, parent, and follow-up surveys also collected detailed demographic information, including age, sex, ethnicity, language, religion, education level, employment, income, marital status, and parental status.

  18. F

    Global Organic Follow Up Formula Market Strategic Recommendations 2025-2032

    • statsndata.org
    excel, pdf
    Updated Oct 2025
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    Stats N Data (2025). Global Organic Follow Up Formula Market Strategic Recommendations 2025-2032 [Dataset]. https://www.statsndata.org/report/organic-follow-up-formula-market-348110
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    excel, pdfAvailable download formats
    Dataset updated
    Oct 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Organic Follow Up Formula market has emerged as a vital sector within the broader marketing and sales landscape, focusing on enhancing customer engagement and retention through strategic communication. This formula is employed primarily by businesses looking to refine their outreach methods, streamline customer

  19. Additional file 4 of Development and validation of a follow-up methodology...

    • springernature.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated May 31, 2023
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    Harriet P. Mintz; Amandeep Dosanjh; Helen M. Parsons; Ana Hughes; Alicia Jakeman; Ann M. Pope; Richard T. Bryan; Nicholas D. James; Prashant Patel (2023). Additional file 4 of Development and validation of a follow-up methodology for a randomised controlled trial, utilising routine clinical data as an alternative to traditional designs: a pilot study to assess the feasibility of use for the BladderPath trial [Dataset]. http://doi.org/10.6084/m9.figshare.13172946.v1
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    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Harriet P. Mintz; Amandeep Dosanjh; Helen M. Parsons; Ana Hughes; Alicia Jakeman; Ann M. Pope; Richard T. Bryan; Nicholas D. James; Prashant Patel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Additional file 4. Hazard ratios. Description of data: Hazard ratios constructed at five and six years of follow-up, for radiotherapy outcomes. The hazard ratio using all available data (90 months), can also be seen.

  20. P

    Global Post-Hospitalization Follow-Up Services Market Risk Analysis...

    • statsndata.org
    excel, pdf
    Updated Oct 2025
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    Stats N Data (2025). Global Post-Hospitalization Follow-Up Services Market Risk Analysis 2025-2032 [Dataset]. https://www.statsndata.org/report/post-hospitalization-follow-up-services-market-271216
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    pdf, excelAvailable download formats
    Dataset updated
    Oct 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Post-Hospitalization Follow-Up Services market has emerged as a critical component of the healthcare ecosystem, focusing on ensuring continuity of care and reducing the risks associated with patient discharge. This segment encompasses a variety of services, including telehealth consultations, in-home visits, med

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Gierman, Hinco J.; Hood, Leroy; Coles, Natalie S.; Coles, L. Stephen; Smith, Justin D.; Li, Hong; Kim, Stuart K.; Fortney, Kristen; Roach, Jared C.; Glusman, Gustavo; Markov, Glenn J. (2014). Baseline statistics of follow-up cohorts. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001221439

Baseline statistics of follow-up cohorts.

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Dataset updated
Nov 12, 2014
Authors
Gierman, Hinco J.; Hood, Leroy; Coles, Natalie S.; Coles, L. Stephen; Smith, Justin D.; Li, Hong; Kim, Stuart K.; Fortney, Kristen; Roach, Jared C.; Glusman, Gustavo; Markov, Glenn J.
Description

Ages for Georgia Centenarian Study subjects were obtained from Corriell website. Number of females from NHLBI cohort was derived for X chromosome genotypes. Age information for NHLBI controls was obtained from www.nhlbi.nih.gov/recovery/media/NHLBI_DNA_cohort.htm.Baseline statistics of follow-up cohorts.

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