An overview of the ICH E9 guidance. Easy to follow, and I can provide a live presentation of this to your team! Great for those who are not familiar with statistics.
Choice of control group in clinical trialsNagendra SR
To describe the general principles involved in choosing a control group for clinical trials intended to demonstrate the efficacy of a treatment and to discuss related trial design and conduct issues.
Clinical Research Statistics for Non-StatisticiansBrook White, PMP
Through real-world examples, this presentation teaches strategies for choosing appropriate outcome measures, methods for analysis and randomization, and sample sizes as well as tips for collecting the right data to answer your scientific questions.
Choice of control group in clinical trialsNagendra SR
To describe the general principles involved in choosing a control group for clinical trials intended to demonstrate the efficacy of a treatment and to discuss related trial design and conduct issues.
Clinical Research Statistics for Non-StatisticiansBrook White, PMP
Through real-world examples, this presentation teaches strategies for choosing appropriate outcome measures, methods for analysis and randomization, and sample sizes as well as tips for collecting the right data to answer your scientific questions.
Table of contents
-Definition of CRF
-What is CRF
-Types & Methods of filling of CRF
-CRF Input team
-CRF Approval team
-Review team
-Facts about CRF
-Purpose of CRF
-CRF Development process & Guidelines
-Elements of CRF
-CRF Design
-CRF completion checklist
-CRF Design tools
-CRF use
-GCP connection
“CSR is a detailed regulatory document which gives the information about the methods and results (related to efficacy and safety) of a clinical trial. CSRs are created as a part of the process of submitting applications to the Regulatory Authorities for new medical treatments and for its approval. CSRs can be full, abbreviated, synopsis, supplementary, observational etc as per the results and requirements”.
Freshers in clinical research and regulatory affairs must go through this presentation. It will help you to understand the basis of clinical trial design as per European guidelines, which is the most preferred reference guideline. Initially, I also faced many problems to understand this concept. A student who is studying a clinical research diploma can also use this presentation for their basic understanding.
Biostatistics are widely used in clinical trials to collect and organize and describe and interpret these result and then give to us proves to take appropriate clinical decisions
Clinical Data Management (CDM) is a critical component of clinical research that involves the collection, cleaning, validation, and management of clinical trial data to ensure its accuracy, integrity, and compliance with regulatory requirements. The workflow of CDM typically consists of several key stages, each with specific activities and processes. Here is an overview of the typical workflow of CDM:
Study Startup:
Protocol Review: CDM teams begin by reviewing the clinical trial protocol to understand the study's objectives, endpoints, data collection requirements, and timelines.
Database Design: Based on the protocol, the team designs a data capture system or electronic data capture (EDC) system. This includes creating data entry forms, defining data validation checks, and setting up data dictionaries.
Data Collection:
Case Report Form (CRF) Design: CDM professionals design electronic or paper CRFs to collect data during the trial. CRFs capture specific data points required by the protocol.
Data Entry: Data is entered into the CRFs, either electronically by site personnel or through paper CRFs.
Data Validation: CDM teams implement validation checks to ensure data quality and consistency. Data validation checks may include range checks, consistency checks, and logic checks.
Query Management: Queries are generated when data discrepancies or inconsistencies are identified. CDM teams send queries to investigational sites for resolution.
Data Cleaning and Quality Control:
Data Cleaning: Data are cleaned to resolve discrepancies, discrepancies, and inconsistencies. This involves querying data discrepancies with clinical trial sites.
Data Review: CDM teams review data to ensure completeness and accuracy, and any outstanding queries are resolved.
Quality Control: Quality control processes are applied to verify the integrity and accuracy of data.
Database Lock:
Once the data are cleaned, reviewed, and validated, the database is locked, indicating that no further changes can be made to the data. Database lock is a critical step before data analysis begins.
Data Export and Analysis:
Data is exported from the database and provided to biostatisticians and researchers for statistical analysis. This analysis is conducted to determine the study's outcomes, efficacy, and safety profile.
Data listings, summaries, and tables are generated for regulatory submissions, reports, and publications.
Final Study Reporting:
After data analysis, CDM teams contribute to the preparation of final study reports, which provide a comprehensive overview of the trial's results, data quality, and regulatory compliance.
Archiving and Documentation:
Clinical trial data, documentation, and databases are archived to ensure their long-term availability for regulatory audits and future reference.
Regulatory Submission: CDM teams provide support for regulatory submissions.
The Breast International Group (BIG) is the largest international network of academic breast cancer research groups. Facilitating international clinical trials is BIG's core expertise and for that reason, we have developed a slideshare presentation to explain the basics of clinical trials.
Table of contents
-Definition of CRF
-What is CRF
-Types & Methods of filling of CRF
-CRF Input team
-CRF Approval team
-Review team
-Facts about CRF
-Purpose of CRF
-CRF Development process & Guidelines
-Elements of CRF
-CRF Design
-CRF completion checklist
-CRF Design tools
-CRF use
-GCP connection
“CSR is a detailed regulatory document which gives the information about the methods and results (related to efficacy and safety) of a clinical trial. CSRs are created as a part of the process of submitting applications to the Regulatory Authorities for new medical treatments and for its approval. CSRs can be full, abbreviated, synopsis, supplementary, observational etc as per the results and requirements”.
Freshers in clinical research and regulatory affairs must go through this presentation. It will help you to understand the basis of clinical trial design as per European guidelines, which is the most preferred reference guideline. Initially, I also faced many problems to understand this concept. A student who is studying a clinical research diploma can also use this presentation for their basic understanding.
Biostatistics are widely used in clinical trials to collect and organize and describe and interpret these result and then give to us proves to take appropriate clinical decisions
Clinical Data Management (CDM) is a critical component of clinical research that involves the collection, cleaning, validation, and management of clinical trial data to ensure its accuracy, integrity, and compliance with regulatory requirements. The workflow of CDM typically consists of several key stages, each with specific activities and processes. Here is an overview of the typical workflow of CDM:
Study Startup:
Protocol Review: CDM teams begin by reviewing the clinical trial protocol to understand the study's objectives, endpoints, data collection requirements, and timelines.
Database Design: Based on the protocol, the team designs a data capture system or electronic data capture (EDC) system. This includes creating data entry forms, defining data validation checks, and setting up data dictionaries.
Data Collection:
Case Report Form (CRF) Design: CDM professionals design electronic or paper CRFs to collect data during the trial. CRFs capture specific data points required by the protocol.
Data Entry: Data is entered into the CRFs, either electronically by site personnel or through paper CRFs.
Data Validation: CDM teams implement validation checks to ensure data quality and consistency. Data validation checks may include range checks, consistency checks, and logic checks.
Query Management: Queries are generated when data discrepancies or inconsistencies are identified. CDM teams send queries to investigational sites for resolution.
Data Cleaning and Quality Control:
Data Cleaning: Data are cleaned to resolve discrepancies, discrepancies, and inconsistencies. This involves querying data discrepancies with clinical trial sites.
Data Review: CDM teams review data to ensure completeness and accuracy, and any outstanding queries are resolved.
Quality Control: Quality control processes are applied to verify the integrity and accuracy of data.
Database Lock:
Once the data are cleaned, reviewed, and validated, the database is locked, indicating that no further changes can be made to the data. Database lock is a critical step before data analysis begins.
Data Export and Analysis:
Data is exported from the database and provided to biostatisticians and researchers for statistical analysis. This analysis is conducted to determine the study's outcomes, efficacy, and safety profile.
Data listings, summaries, and tables are generated for regulatory submissions, reports, and publications.
Final Study Reporting:
After data analysis, CDM teams contribute to the preparation of final study reports, which provide a comprehensive overview of the trial's results, data quality, and regulatory compliance.
Archiving and Documentation:
Clinical trial data, documentation, and databases are archived to ensure their long-term availability for regulatory audits and future reference.
Regulatory Submission: CDM teams provide support for regulatory submissions.
The Breast International Group (BIG) is the largest international network of academic breast cancer research groups. Facilitating international clinical trials is BIG's core expertise and for that reason, we have developed a slideshare presentation to explain the basics of clinical trials.
ICH Guideline Q9 - Quality Risk Managementmuna_ali
A presentation of the ICH guideline Q9 (Quality Risk Management). It discusses the basic risk management procedure, list of recognized risk management tools and its role in pharmaceutical industry.
Clinical trials are the gold standard of evidence-based medicine. Properly designed clinical trials can lead to chance findings and potentially lead to erroneous conclusions.
Importantly, clinical trials can also be badly designed on purpose to increase the risk of false or chance findings leading to support misleading claims. Such techniques are frequently used by bad researchers and charlatans to substantiate their claims with biased clinical trials. It is therefore important to be weary of the limitations of clinical trials and understand how causal inference should be approach. In that presentation, I discuss the situations under which the risk of erroneous conclusions from clinical trials is increased and I discuss ways to identify and prevent bad clinical research.
The views expressed and presented in that presentation are my own views and may not represent the views of the National Institute for Health and Care Excellence.
RANDOMIZED CONTROL trials
an assessment method
questions validity and applicability of many preventive and therapeutic procedures
reference Park's Preventive and social medicine