• As experimental physics coordinator R Pottgen acts as a liaison to WP2 and WP3 by porting the signal simulations and statistical inference package, respectively, into the analysis work of LDMX. (lu.se)
  • We will develop the statistical inference package that will allow the LDMX results to be presented in terms of relevant physical quantities and compare to relevant benchmarks. (lu.se)
  • Statistical analysis of epidemiologic data / Steve Selvin. (who.int)
  • Data envelopment analysis applied to quality in primary health care / Javier Salinas-Jiménez and Peter Smith. (who.int)
  • Think before measuring : methodological innovations for the collection and analysis of statistical data / Jean-Luc Dubois. (who.int)
  • Statistical operations : analysis of health research data / Robert P. Hirsch, Richard K. Riegelman. (who.int)
  • Qualitative data analysis : an expanded sourcebook / Matthew B. Miles, A. Michael Huberman. (who.int)
  • Machine Interpretation of Patterns: Image Analysis and Data Mining is an essential and invaluable resource for professionals and advanced graduates in computer science, mathematics and life sciences. (firebaseapp.com)
  • DETAILS Data analyst responsibilities include conducting full lifecycle analysis to include requirements activities and design. (timesjobs.com)
  • Data analysts will develop analysis and reporting capa. (timesjobs.com)
  • We develop and build crucial parts of LDMX and take a leading role in the data analysis and interpretation. (lu.se)
  • Analysis and interpretation of data: Akram, Mirza, Zakrzewska. (thejns.org)
  • Statistical analysis: Akram, Mirza. (thejns.org)
  • 1.Use statistical packages required for quantitative analysis (e.g. (edu.au)
  • This module specifically addresses the statistical analysis of quantitative research data, necessary because a positivist research paradigm is common in this field of study, and this content is a required component for our BSc programme. (aber.ac.uk)
  • Proficiency in experimental design, data interpretation, and statistical analysis will be invaluable. (coursera.org)
  • Technology proficiency: Stay updated with the latest technology and tools used in Life Sciences, such as laboratory equipment, data analysis software, and molecular modeling tools. (coursera.org)
  • These analytic guidelines will be modified and updated on a periodic basis as new information is acquired and as new statistical techniques for analysis of complex sample surveys are introduced. (cdc.gov)
  • For trend analysis, the current documentation can be compared with documentation from past NHANES surveys to determine if a specific data item is comparable with a similar data item collected in previous surveys. (cdc.gov)
  • Despite the rigorous quality control standards, estimates produced from any data set are subject to sampling and non-sampling variation and interpretation of analysis must proceed accordingly. (cdc.gov)
  • The Joinpoint regression model for the analysis of trends was not designed to accommodate a one-year anomaly in data. (cdc.gov)
  • Rapid and accurate data analysis is crucial in understanding the spread of the disease, identifying high-risk areas, and implementing timely interventions. (who.int)
  • MoHCC Rapid Diseases Surveillance Manager Mr Alex Goredema, emphasized the significance of this training, stating, "Accurate and timely data analysis is the backbone of effective cholera response. (who.int)
  • The training programme covered a wide range of topics, including data collection methods, statistical analysis, data visualization, and interpretation. (who.int)
  • This includes access to advanced data analysis tools and ongoing mentorship from experienced professionals. (who.int)
  • By fostering a collaborative environment, the Ministry aims to create a network of skilled health information officers who can share best practices and contribute to continuous improvement in data analysis techniques particularly during emergencies. (who.int)
  • With enhanced data analysis capabilities, the Ministry of Health can identify cholera hotspots more accurately, allocate resources efficiently, and implement targeted interventions promptly. (who.int)
  • We are really excited that for the first time we will be incorporating predictive modeling and analysis to help identify areas were potential outbreaks may occur, giving an opportunity to adequately prepare and respond to health emergencies," said Trevor Muchabaiwa, Data Manager at WHO Zimbabwe. (who.int)
  • An important function of CDC is compilation, analysis, and interpretation of statistical information to guide actions and policies to improve health. (cdc.gov)
  • The 2022 data submission includes new cancer cases diagnosed in 2020, the first year of the COVID-19 pandemic. (cdc.gov)
  • As Quantitative Climate Data Expert, Antony develops weather hazard monitoring tools, conducts related analyses, and contributes to scenario development exercises to support early warning decisions. (crisisgroup.org)
  • 5.Understand the interpretation and appropriate reporting requirements for statistical and qualitative data. (edu.au)
  • Antony is an experienced meteorologist with a strong background in research, forecasting, and collaboration with proficiency in analysing and interpreting weather data using tools such as Surfer, R, QGIS, and Python. (crisisgroup.org)
  • The purpose of this section is to evaluate and interpret the significance of existing toxicity data and, in some cases, speculate regarding the significance of this information as it relates to human health. (cdc.gov)
  • A crucial point for LDMX is a detailed understanding of eN and g N reactions , both as experimental backgrounds and for detailed understanding of the signal-process in the target. (lu.se)
  • Since current experimental data is scarce for phase-space relevant for LDMX, continuous feedback will be needed between LDMX and GEANT4. (lu.se)
  • In parallel to the experimental activities, this project will develop optimal data interpretation strategies to maximise the information extracted from LDMX data. (lu.se)
  • They will apply it to LDMX data and simulated data including the simulation developed in WP2 for experimental background and expected signals, to produce data interpretation for LDMX publications. (lu.se)
  • The COVID-19 pandemic disrupted health services, leading to delays and reductions in cancer screening, diagnosis, and reporting of data to some central cancer registries, which may have contributed to an observed decline in incidence for most cancer sites in 2020. (cdc.gov)
  • When using Joinpoint regression, inclusion of the 2020 data may influence the location of Joinpoints, the value of the trend measure (annual percent change) and provide a poor fit of the model and larger confidence intervals. (cdc.gov)
  • CDC and NCI will include the 2020 incidence rates in statistical reports and displayed graphics but will not include them in Joinpoint models. (cdc.gov)
  • DETAILS Ability to interpret large amounts of data and to multi-taskGood presentation and time management skillsHands on Experience of Marketing and digital marketing tools. (timesjobs.com)
  • Information systems nowadays refer to computer-based systems (including mobile applica-tions) which store and manipulate data such that people can understand, use, interpret and make decisions based on the information. (up.ac.za)
  • Safe collection, storage, visualization and use of data are critical to planning, monitoring, and evaluation of the national health system. (who.int)
  • Statistical interpretation of data and using data for clinical decisions. (medlineplus.gov)
  • Finally, the development of a universally accepted outcome classification system seems imperative for the meaningful and accurate clinical interpretation of the results reported by different centers worldwide. (thejns.org)
  • However, population-based data are lacking from areas with high incidence of NTMPD and TB. (cdc.gov)
  • He added, "This training will ultimately ensure all policy makers have access to accurate, timely and analytical information to guarantee data driven decisions, as we continue fighting this outbreak. (who.int)
  • The data underwent descriptive and bivariate analyses. (ajmc.com)
  • Many analytic problems and misinterpretation of the data can be avoided by reading the documentation, examining the data collection protocols and data collection instruments, and conducting preliminary descriptive evaluation of the data. (cdc.gov)
  • Prior to his role as Quantitative Climate Data Expert, Antony did an internship at the International Crisis Group, worked as a data analyst, did research consulting for the Australian Centre for International Agricultural Research (ACIAR) and part-time lecturing at Moi University's School of Human Resource Development. (crisisgroup.org)
  • This is done through strengthening country health information, data generation, and evidence creation to address critical data gaps for priority health topics like cholera. (who.int)
  • Identify at least two statistical terms used within this article and provide definitions. (savemydegree.com)
  • All plans, regardless of size, location, and ownership, offer chronic care management programs, which identify eligible members from claims data and match them to interventions based on overall risk and specific care gaps. (ajmc.com)
  • Assessment is one or more processes that identify, collect, and prepare data to evaluate the attainment of student outcomes. (abet.org)
  • NHANES data, but with a particular focus on data collected in the continuous NHANES (since 1999). (cdc.gov)
  • An assessment of the quality of data on age at first union, first birth, and first sexual intercourse for phase II of the Demographic and Health Surveys program / Anastasia J. Gage. (who.int)
  • Assessment Description Statistical application and the interpretation of data is important in health care. (savemydegree.com)
  • Save My Degree » Science » Assessment Description Statistical application and the interpretation of data is important in health care. (savemydegree.com)
  • Evaluation is one or more processes for interpreting the data and evidence accumulated through assessment processes. (abet.org)
  • The source of a data item (interview, MEC, sera) is important for both assessment of quality of information and for determining the appropriate sampling weight to be used for producing statistical estimates. (cdc.gov)
  • To better understand NTM infection and TB risk patterns in Hawaii, USA, we evaluated data on a cohort of patients in Hawaii for 2005-2013. (cdc.gov)
  • Data collected in NHANES comes from interviews, examinations, and laboratory tests based on blood and urine samples. (cdc.gov)
  • Examination data and laboratory data are subject to measurement variation and possible examiner effects. (cdc.gov)
  • The National Center for Health Statistics (NCHS), which is a Federal statistical agency with broad responsibilities to monitor the health of the nation, became a part of CDC in 1987. (cdc.gov)
  • Masvingo, Zimbabwe - To bolster the fight against cholera and improve response activities, the Ministry of Health and Child Care (MoHCC) in collaboration with the World Health Organization (WHO) trained and equipped 54 health information officers with the necessary skills to analyze data effectively, enabling more efficient and targeted interventions. (who.int)
  • Data management is one of WHO key priorities to strengthen country's capacities for emergency preparedness to monitor the health of its population and the impact of health interventions and promote evidence-informed policy decisions. (who.int)
  • Research skills: Enhance your ability to conduct independent research by learning techniques for gathering, evaluating, and analyzing data. (coursera.org)
  • DETAILS Job Position: Digital Data Reporting InternTo apply , contact 91-84218 20001 or mail on [email protected]: This position is based at Vasai East ( 1 Min walk from railway st. (timesjobs.com)
  • The profile is not meant to contain all of the details necessary to support these interpretations. (cdc.gov)
  • Prior to data collection, extensive protocols are developed and reviewed by the public health and scientific community. (cdc.gov)
  • Prior to and during data collection, NHANES field staff participate in comprehensive training and annual refresher training for Interviewers and MEC staff. (cdc.gov)
  • Design Pooling of individual participant data from 16 prospective cohort studies initiated 1994-2008. (bmj.com)
  • If no MRLs have been derived, do you agree that the data do not support such a derivation? (cdc.gov)
  • NC: Not calculated - There is insufficient data available to support the calculation of this statistic. (cdc.gov)
  • This practical approach ensures that data officers are well-prepared to tackle the challenges they may encounter in the field. (who.int)
  • For further information on interpretation of these data, see https://www.cdc.gov/nndss/data-statistics/readers-guides/ § Case count includes both probable and confirmed cases. (cdc.gov)
  • See also https://www.cdc.gov/nndss/data-statistics/readers-guides/, Guide to Interpreting Provisional and Finalized NNDSS Data. (cdc.gov)
  • Available at: https://www.cdc.gov/nndss/data-statistics/index.html, https://www.cdc.gov/nndss/data-statistics/index.html. (cdc.gov)
  • Describe the importance of standardized health care data as it pertains to ensuring integrity of research data. (savemydegree.com)
  • With all the missing data and imputational calculations," she said, "I think we have to apply caution in the interpretation. (medscape.com)
  • This may lead to incorrect interpretations of population-level cancer prevention and early detection efforts. (cdc.gov)
  • Coordination of statistical activities across CDC and ATSDR is carried out by the CDC/ATSDR Statistical Advisory Group. (cdc.gov)
  • Statistical application and the interpretation of data is important in health care. (savemydegree.com)
  • Interview (questionnaire) data are based on self- reports and are therefore subject to non-sampling errors such as recall problems, misunderstanding of the question, and a variety of other factors. (cdc.gov)
  • The method was implemented using freely available software (JUNG and the R statistical package). (springer.com)
  • this is another reason to read the documentation in order to understand any issues in comparability of data over time. (cdc.gov)
  • Through hands-on exercises and case studies, participants gained valuable experience in analyzing data sets specific to cholera outbreaks. (who.int)
  • Acknowledgment: CDC acknowledges the local, state, and territorial health departments that collected the data from a range of case ascertainment sources (e.g., health-care providers, hospitals, laboratories) and reported these data to CDC's National Notifiable Diseases Surveillance System. (cdc.gov)
  • The documentation will also indicate if a data item was collected on all or a sub-sample of sample persons, if it was collected on a limited age- range, or if exclusion criteria were applied for a specific examination component. (cdc.gov)
  • This document presents analytic and reporting guidelines that should be used for NHANES data analyses and publications. (cdc.gov)
  • La planification de l'enseignement et la gestion pédagogique de la diversité des besoins des élèves en classe ordinaire: une recherche collaborative au primaire [Teaching planning and pedagogical management of students' diverse needs in the regular classroom: collaborative research in the elementary school]. (irrodl.org)
  • Equity in universal health coverage will be addressed by examining the age group (life course) and sex distribution of people included in the baseline data and increases in universal health coverage. (who.int)
  • Notices, errata, and other notes are available in the https://wonder.cdc.gov/nndss/NTR.html, Notice To Data Users page. (cdc.gov)