Statistical Solutions to Meet Advanced Needs

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At VistaStatistics, we specialize in providing customized data analysis services that cater to the unique challenges of medical research and drug development. Our expert team of statisticians and data scientists employs cutting-edge techniques and innovative methodologies to deliver precise, reliable, and actionable insights that drive scientific discoveries and therapeutic advancements. Explore our diverse offerings:

• Sequencing Strategy: We assist you in choosing the right sequencing strategy to meet your specific research goals.
• Sequencing Types: Whether it's RNA-Seq, DNA-Seq, ChIP-Seq, or more, we've got you covered.
• Secondary and Tertiary Analysis: From raw data processing to in-depth exploration, we ensure your data is transformed into valuable insights.
• Gene Expression: Uncover the secrets hidden within your genes and understand their expression patterns.
• Germline and Somatic Mutation Calling: Identifying mutations is crucial in both research and clinical settings, and we have the expertise to assist.
• Mutation Outcome Association Analyses: We help you make sense of the mutations' impact on your research.
• Single Cell Sequencing: Delve into the intricacies of single-cell data to reveal hidden patterns and insights.
• Gene Pattern and Signature Analysis: Understand the nuances of gene patterns and uncover distinctive signatures.
• Accuracy and Reproducibility Analysis: Trust and confidence in your data are paramount. We provide rigorous assessments to ensure the accuracy and reproducibility of your findings.
• Protocol and Publication Support: We assist in developing and optimizing protocols and provide support in preparing research publications.

Maximize the impact of your research with our specialized publication support services. We assist researchers in preparing their data for publication in high-impact journals, ensuring that statistical analysis and results are presented clearly, accurately, and persuasively. Our services include complex data manipulation, detailed explanatory analyses, and robust statistical testing to underline the significance and reliability of your findings.

Each research question is unique, and standard methodologies often fall short. Our team develops customized statistical methodologies that are specifically designed to tackle the novel challenges posed by your data. Whether modifying existing algorithms or creating novel approaches, our focus is on developing solutions that enhance the accuracy and effectiveness of your research outcomes.

Survival analysis is critical for assessing the efficacy of treatments over time, especially in clinical trials for life-threatening conditions. We offer advanced survival analysis services, including Kaplan-Meier estimates, Cox proportional hazards models, and time-dependent covariate analyses, to provide comprehensive insights into patient outcomes and treatment efficacies.

Our longitudinal data analysis services help understand how variables change over time and what factors influence these changes. This is crucial for studies tracking changes across multiple time points, such as clinical trials evaluating the long-term effects of treatments. We employ a variety of models, including mixed-effects models and GEEs (Generalized Estimating Equations), to analyze data collected at different times, providing a deeper understanding of the processes under study.

The use of Real World Evidence (RWE) comes into play when clinical trials cannot account for the entire patient population of a particular disease. Real-world evidence (RWE) in medicine is the evidence obtained from real-world data (RWD) and is the clinical evidence regarding the usage and potential benefits or risks of a medical product derived from analysis of Real World Data – RWD.

Data analysis gives the stored RWE in 

• Electronic Health Records (EHR),
• Medical claims,
• Billing activities databases, 
• Registries, 
• Patient-generated data including in-home-use settings, 
• Data is gathered from other sources that can inform on health status, such as mobile devices, etc. 

Retrospective or prospective observational studies and observational registries derive the RWE data.

RWE provides answers to the problems and also analyzes the effects of drugs over a longer period of time such as,

• The patients suffering from comorbidities or 
• Belonging to a distant geographic region or 
• Age limit who did not participate in any clinical trial may not respond to the treatment in question as expected.