This document outlines 22 checklist items that should be included when reporting observational studies. It includes recommendations for what to report in the title/abstract, introduction, methods, results, and discussion sections. Some key recommendations include indicating the study design in the title or abstract, stating the specific objectives and hypotheses, describing the study setting and dates, defining all variables, describing statistical methods used, and discussing limitations and generalizability. Providing these details helps ensure transparent and complete reporting of observational studies.
Medicines is the applied science or practice of the diagnosis, treatment, and prevention of disease.
Bad effects called Adverse Drug Reactions (ADRs) , it differs from side effects.
Pharmacovigilance (PhV) is the science that concerns with the detection, assessment, understanding and prevention of ADRs
pharamcovigilance, role of pharmacist in Pharmacovigilance and ADRs reportingGaurav Chhabra
Pharamcovigilance, Adverse drug reactions, ADR, process of Pharmacovigilance, Pharmacist, role of Pharmacist in Adverse drug reactions ADR reporting, Pharmacovigilance programme of india pvpi, Adr reporting form, need of Pharmacovigilance.
An informed consent form is a document that is provided to prospective participants in a research study. It is a crucial component of the informed consent process and serves to ensure that participants are fully informed about the study and its potential risks and benefits before they decide to participate. Here are the key elements typically included in an informed consent form
This document deals with different CLINICAL STUDY DESIGNS, their methodologies, definitions, merits & associated demerits.
Relevant for the following subjects:
A. BIOSTATISTICS & RESEARCH METHODOLOGY
B. CLINICAL RESEARCH
C. PHARMACOEPIDEMIOLOGY & PHARMACOECONOMICS.
Speaker: Wendy Hill, Gap Strategies. Part of the MaRS Best Practices Series.This session, led by seasoned industry experts, will explore how to effectively set up your pre-clinical POC studies, address pre-clinical safety requirements and issues, and give you an overview of the manufacturing standards required for Phase I studies
More information: http://www.marsdd.com/Events/Event-Calendar/Best-Practices-Series/ind-05132008.html
Bayesian theory was developed to improve forecast accuracy by combining subjective prediction with improvement from newly collected data.
Bayesian probability is used to improve forecasting in medicine.
Bayesian theory provides a method to weigh the prior information (e.g. physical diagnosis) and new information (e.g. results from laboratory tests) to estimate a new probability for predicting the disease.
Medicines is the applied science or practice of the diagnosis, treatment, and prevention of disease.
Bad effects called Adverse Drug Reactions (ADRs) , it differs from side effects.
Pharmacovigilance (PhV) is the science that concerns with the detection, assessment, understanding and prevention of ADRs
pharamcovigilance, role of pharmacist in Pharmacovigilance and ADRs reportingGaurav Chhabra
Pharamcovigilance, Adverse drug reactions, ADR, process of Pharmacovigilance, Pharmacist, role of Pharmacist in Adverse drug reactions ADR reporting, Pharmacovigilance programme of india pvpi, Adr reporting form, need of Pharmacovigilance.
An informed consent form is a document that is provided to prospective participants in a research study. It is a crucial component of the informed consent process and serves to ensure that participants are fully informed about the study and its potential risks and benefits before they decide to participate. Here are the key elements typically included in an informed consent form
This document deals with different CLINICAL STUDY DESIGNS, their methodologies, definitions, merits & associated demerits.
Relevant for the following subjects:
A. BIOSTATISTICS & RESEARCH METHODOLOGY
B. CLINICAL RESEARCH
C. PHARMACOEPIDEMIOLOGY & PHARMACOECONOMICS.
Speaker: Wendy Hill, Gap Strategies. Part of the MaRS Best Practices Series.This session, led by seasoned industry experts, will explore how to effectively set up your pre-clinical POC studies, address pre-clinical safety requirements and issues, and give you an overview of the manufacturing standards required for Phase I studies
More information: http://www.marsdd.com/Events/Event-Calendar/Best-Practices-Series/ind-05132008.html
Bayesian theory was developed to improve forecast accuracy by combining subjective prediction with improvement from newly collected data.
Bayesian probability is used to improve forecasting in medicine.
Bayesian theory provides a method to weigh the prior information (e.g. physical diagnosis) and new information (e.g. results from laboratory tests) to estimate a new probability for predicting the disease.
1 HOW TO LAY OUT A RESEARCH PROPOSAL Title Page .docxoswald1horne84988
1
HOW TO LAY OUT A RESEARCH PROPOSAL
Title Page:
Title
Name of student and student number
Name of Supervisor
Course
University
Date of submission
Table of Contents
List of appendices
Acknowledgements
Abstract (100 - 150 words)
The abstract must communicate the essential parts of the research proposal and should follow the same
order as the proposal. It must convince the reader that the study is interesting and important
Chapter 1: Literature review (2100 words)
This section should include an Introduction and short justification for the proposed research study. The
literature review must show evidence of wide reading and analysis, synthesis and evaluation of research
findings
Chapter 2: Methodology (3300 words)
Design
Design refers to how your research study will be conducted and the reasons for your choice of study
methodology. You must label the methodology that you will employ e.g. quantitative – correlational or
qualitative – phenomenological. This methodology must be justified from the research literature. Enough
detail must be presented so that the reader can determine the adequacy of the methods. However, it is
important to remember that your proposal is not a theory paper on research methods. Your proposed
study must be central to the discussion with the research literature offering support to your proposed
choice.
Population / Sample
You will need to provide details of your choice of sampling technique and sample size, as well as details
about the participants (i.e. age, gender, religion, medical conditions, employed, etc). Inclusion and
exclusion criteria must be stated along with the rationale for these decisions.
Methods of data collection
Any materials used in the study should be described in sufficient detail. This must also indicate how the
data will be collected and where possible offer samples of the data tools as an appendix (i.e.
questionnaires, interview schedules, and participant consent letters). Information on how, where and
when the data is to be collected must be given.
Robustness of data collection methods
2
You will need to identify the issues regarding the reliability and validity of any measurement tools to be
employed. Similarly, for those undertaking a qualitative study identify the robustness of the study
(consistency, truthfulness and transferability).
Data analysis
Discuss the methods of analysis. If quantitative data is to be collected and analysed you must indicate the
specific statistical tests to be utilised and the statistical package that will be used (i.e. SPSS Version 11).
If qualitative, you must provide clear guidelines as to how the data will be analysed, identifying the model
of analysis that you will utilise (This section must also address the issue of data management, data
protection, etc.
Pilot study
Explain the purpose of a pilot study and give details of your proposed .
Critical Appraisal Process for Quantitative ResearchAs you cri.docxwillcoxjanay
Critical Appraisal Process for Quantitative Research
As you critically appraise studies, follow the steps of the critical appraisal process presented in Box 18-1. These steps occur in sequence, vary in depth, and presume accomplishment of the preceding steps. However, an individual with critical appraisal experience frequently performs multiple steps of this process simultaneously. This section includes the three steps of the research critical appraisal process applied to quantitative studies and provides relevant questions for each step. These questions are not comprehensive but have been selected as a means for stimulating the logical reasoning and analysis necessary for conducting a study review. Persons experienced in the critical appraisal process formulate additional questions as part of their reasoning processes. We cover the identification of the steps or elements of the research process separately because persons who are new to critical appraisal often only conduct this step. The questions for determining the study strengths and weaknesses are covered together because this process occurs simultaneously in the mind of the person conducting the critical appraisal. Evaluation is covered separately because of the increased expertise needed to perform this final step.
Step I: Identifying the Steps of the Quantitative Research Process in Studies
Initial attempts to comprehend research articles are often frustrating because the terminology and stylized manner of the report are unfamiliar. Identification of the steps of the research process in a quantitative study is the first step in critical appraisal. It involves understanding the terms and concepts in the report; identifying study elements; and grasping the nature, significance, and meaning of the study elements. The following guidelines are presented to direct
you in the initial critical appraisal of a quantitative study.
Guidelines for Identifying the Steps of the Quantitative Research Process
The first step involves reviewing the study title and abstract and reading the study from beginning to end (review the key principles in Box 18-2). As you read, address the following questions about the research report: Was the writing style of the report clear and concise? Were the different parts of the research report plainly identified (APA, 2010)? Were relevant terms defined?
You might underline the terms you do not understand and determine their meaning from the glossary at the end of this textbook. Read the article a second time and highlight or underline each step of the quantitative research process. An overview of these steps is presented in Chapter 3. To write a critical appraisal identifying the study steps, you need to identify each step concisely and respond briefly to the following guidelines and questions:
I. Introduction
A. Describe the qualifications of the authors to conduct the study, such as research expertise, clinical experience, and educational preparation. Doctoral .
Module 3 - CaseMethodology and FindingsCase AssignmentThe Ca.docxaudeleypearl
Module 3 - Case
Methodology and Findings
Case Assignment
The Case Assignments in this course are designed to assist you with the completion of the Doctoral Study Proposal. Each module will provide you with instructions and guidance on how to complete a component of the proposal. You are expected to follow the steps below:
· Review all module content, including the information provided on the module homepage
· Incorporate any changes into your Case 3 assignment based on instructor feedback from Case 2
· Use the track changes function in Word, so the instructor can follow the modifications you make to your document based on Case 2 feedback
Using the module content as a guide, draft the following sections:
First, incorporate the feedback received on your Module 2 Case 2 assignment and update the following sections to include those changes in your Case 3 assignment:
Background
Statement of the Problem
Purpose of the Study
Conceptual or Theoretical Framework
Research Design
Significance of the Study
Next, draft the following sections:
Research Methods and Design
Research Site or Population
Population and Sample
Instrumentation
Section 3: Methodology and Findings
Research Methods and Design
Describe your overall research approach. Discuss why qualitative, quantitative, or mixed methods have been selected to address your topic. Discuss the selected research design and justification for the selection of the design for your study.
Provide detail on your research design. Justify why the selected design is appropriate for the study.
Qualitative Research Designs
· Case Study: the school, program, job, etc. is the unit of analysis. May use interviews, observation, document analysis.
· Ethnographic/Qualitative Interview Study: the individual is the unit of analysis, 1:1 or focus group interviews are used
· Ethnography: the culture is the unit of analysis; observation, interviews and artifact collection (documents) are used.
· Narrative Study (or its pre-mutations): the story is the unit of analysis. Several individuals are interviewed in depth.
· Grounded Theory: variables needed to develop the theory are the unit of analysis; many 1:1 interviews are used.
· Phenomenological: the phenomena is the unit of analysis; many 1:1 interviews are used.
Quantitative Research Designs
· Experimental Research: To establish a possible “cause-and-effect” relationship between variables
· Types of experimental designs
· True experimental designs
· Quasi-experimental designs
· Pre-experimental designs
· Factorial designs
· Non-Experimental Research: To describe an existing condition
· Types of descriptive research
· Correlational research: to determine relationships between variables
· Causal-comparative research (aka ex post facto): to determine the “cause” for preexisting differences
· Survey research: to describe the attitudes, opinions, behaviors, or characteristics of the population
· Cross-sectional survey designs
· Longitudinal survey designs
Research Hypotheses.
Module 3 - CaseMethodology and FindingsCase AssignmentThe Ca.docxroushhsiu
Module 3 - Case
Methodology and Findings
Case Assignment
The Case Assignments in this course are designed to assist you with the completion of the Doctoral Study Proposal. Each module will provide you with instructions and guidance on how to complete a component of the proposal. You are expected to follow the steps below:
· Review all module content, including the information provided on the module homepage
· Incorporate any changes into your Case 3 assignment based on instructor feedback from Case 2
· Use the track changes function in Word, so the instructor can follow the modifications you make to your document based on Case 2 feedback
Using the module content as a guide, draft the following sections:
First, incorporate the feedback received on your Module 2 Case 2 assignment and update the following sections to include those changes in your Case 3 assignment:
Background
Statement of the Problem
Purpose of the Study
Conceptual or Theoretical Framework
Research Design
Significance of the Study
Next, draft the following sections:
Research Methods and Design
Research Site or Population
Population and Sample
Instrumentation
Section 3: Methodology and Findings
Research Methods and Design
Describe your overall research approach. Discuss why qualitative, quantitative, or mixed methods have been selected to address your topic. Discuss the selected research design and justification for the selection of the design for your study.
Provide detail on your research design. Justify why the selected design is appropriate for the study.
Qualitative Research Designs
· Case Study: the school, program, job, etc. is the unit of analysis. May use interviews, observation, document analysis.
· Ethnographic/Qualitative Interview Study: the individual is the unit of analysis, 1:1 or focus group interviews are used
· Ethnography: the culture is the unit of analysis; observation, interviews and artifact collection (documents) are used.
· Narrative Study (or its pre-mutations): the story is the unit of analysis. Several individuals are interviewed in depth.
· Grounded Theory: variables needed to develop the theory are the unit of analysis; many 1:1 interviews are used.
· Phenomenological: the phenomena is the unit of analysis; many 1:1 interviews are used.
Quantitative Research Designs
· Experimental Research: To establish a possible “cause-and-effect” relationship between variables
· Types of experimental designs
· True experimental designs
· Quasi-experimental designs
· Pre-experimental designs
· Factorial designs
· Non-Experimental Research: To describe an existing condition
· Types of descriptive research
· Correlational research: to determine relationships between variables
· Causal-comparative research (aka ex post facto): to determine the “cause” for preexisting differences
· Survey research: to describe the attitudes, opinions, behaviors, or characteristics of the population
· Cross-sectional survey designs
· Longitudinal survey designs
Research Hypotheses ...
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
1. 1
STROBE Statement—checklist of items that should be included in reports of observational studies
Item
No Recommendation
Title and abstract 1 (a) Indicate the study’s design with a commonly used term in the title or the abstract
(b) Provide in the abstract an informative and balanced summary of what was done
and what was found
Introduction
Background/rationale 2 Explain the scientific background and rationale for the investigation being reported
Objectives 3 State specific objectives, including any prespecified hypotheses
Methods
Study design 4 Present key elements of study design early in the paper
Setting 5 Describe the setting, locations,and relevant dates,including periods of recruitment,
exposure, follow-up, and data collection
Participants 6 (a) Cohort study—Give the eligibility criteria, and the sources and methods of
selection of participants. Describe methods of follow-up
Case-control study—Give the eligibility criteria, and the sources and methods of
case ascertainment and control selection. Give the rationale for the choice of cases
and controls
Cross-sectional study—Give the eligibility criteria, and the sources and methods of
selection of participants
(b) Cohort study—For matched studies,give matching criteria and number of
exposed and unexposed
Case-control study—For matched studies,give matching criteria and the number of
controls per case
Variables 7 Clearly define all outcomes, exposures, predictors, potential confounders,and effect
modifiers. Give diagnostic criteria, if applicable
Data sources/
measurement
8* For each variable of interest, give sources of data and details of methods of
assessment (measurement). Describe comparability of assessment methods if there
is more than one group
Bias 9 Describe any efforts to address potential sources ofbias
Study size 10 Explain how the study size was arrived at
Quantitative variables 11 Explain how quantitative variables were handled in the analyses.If applicable,
describe which groupings were chosen and why
Statistical methods 12 (a) Describe all statistical methods, including those used to control for confounding
(b) Describe any methods used to examine subgroups and interactions
(c) Explain how missing data were addressed
(d) Cohort study—If applicable, explain how loss to follow-up was addressed
Case-control study—If applicable, explain how matching of cases and controls was
addressed
Cross-sectional study—If applicable, describe analytical methods taking account of
sampling strategy
(e) Describe any sensitivity analyses
Continuedon next page
2. 2
Results
Participants 13* (a) Report numbers of individuals at each stage of study—eg numbers potentially eligible,
examined for eligibility, confirmed eligible, included in the study,completing follow-up, and
analysed
(b) Give reasons for non-participation at each stage
(c) Consider use of a flow diagram
Descriptive
data
14* (a) Give characteristics of study participants (eg demographic, clinical, social) and information
on exposures and potential confounders
(b) Indicate number of participants with missing data for each variable of interest
(c) Cohort study—Summarise follow-up time (eg, average and total amount)
Outcome data 15* Cohort study—Report numbers of outcome events or summary measures over time
Case-control study—Report numbers in each exposure category,or summary measures of
exposure
Cross-sectional study—Report numbers of outcome events or summary measures
Main results 16 (a) Give unadjusted estimates and, if applicable, confounder-adjusted estimates and their
precision (eg, 95% confidence interval). Make clear which confounders were adjusted for and
why they were included
(b) Report category boundaries when continuous variables were categorized
(c) If relevant, consider translating estimates of relative risk into absolute risk for a meaningful
time period
Other analyses 17 Report otheranalyses done—eg analyses of subgroups and interactions,and sensitivity
analyses
Discussion
Key results 18 Summarise key results with reference to study objectives
Limitations 19 Discuss limitations of the study,taking into account sources ofpotential bias or imprecision.
Discuss both direction and magnitude of any potential bias
Interpretation 20 Give a cautious overall interpretation of results considering objectives, limitations, multiplicity
of analyses,results from similar studies,and other relevant evidence
Generalisability 21 Discuss the generalisability (external validity) of the study results
Other information
Funding 22 Give the source of funding and the role of the funders for the present study and,if applicable,
for the original study on which the present article is based
*Give information separately for cases and controls in case-controlstudies and,if applicable, for exposed and
unexposed groups in cohort and cross-sectionalstudies.
Note: An Explanation and Elaboration article discusses each checklist item and gives methodological background and
published examples of transparent reporting. The STROBE checklist is best used in conjunction with this article (freely
available on the Web sites of PLoS Medicine at http://www.plosmedicine.org/, Annals of Internal Medicine at
http://www.annals.org/, and Epidemiology at http://www.epidem.com/). Information on the STROBE Initiative is
available at www.strobe-statement.org.