Vandage GmbH

Vandage GmbH is listed as a small business research supplier in the Scientist.com network, with 1 site in 1 country.

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Sites 1

Countries 1

Type of company: Small business

Clinical Data Science and Modeling A process that helps make sense of your clinical data
Clinical Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects
Discovery Statistical and Mathematical Modeling Use mathematical variables and equations to establish relationships between data.
Graph-Based Patient Journey Analysis Graph-based patient journey analysis is a method of visualizing and analyzing the pathways patients take through healthcare systems using graph structures, enabling insights into patient experiences, care patterns...
RWE/HEOR Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
RWE/HEOR Data Science and Modeling A process that helps make sense of your clinical data

Show all 11 in Data Science/Bioinformatics 5 more

RWE/HEOR Drug Response Analysis A process to understand how a population is responding to a drug, specifically if there are any adverse events.
RWE/HEOR Drug/Therapy Discontinuation Analysis An analysis to understand patient behavior. Are the drugs taken on time, do the patients discontinue use, and if so how long after starting, etc.
RWE/HEOR Machine Learning/AI Complex analytical approaches to find patterns and make predictions in RWE/HEOR projects
RWE/HEOR Market Analysis A process to understand how a drug is performing in the market and possible opportunities in the market
RWE/HEOR Software Tools Software designed to serve the needs of RWE/HEOR research groups.

Infectious Disease Models Test therapeutic efficacy of drug candidate in infectious disease model.

Burden of Illness/Disease Strategy and study related to assessing the impact (economic, non-economic) of disease on health outcomes in a country, region, community, patient, or health system.
Comparative Effectiveness The generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care.
Cost Benefit Analysis Economic evaluation in which costs and benefits (outcomes) are expressed in monetary units, to determine if the benefits of an intervention outweigh the costs.
Cost Effectiveness Analysis Compare alternative treatments that lead to similar health outcomes.
Decision Analytic Modeling Assess effects, costs and economic outcomes of treatment. These include cost-effectiveness models and budget impact models.
Health Economics and Outcomes Research (HEOR) Evaluate data collected during drug development to maximize the value of a therapeutic product.

Show all 11 in HEOR 5 more

HEOR Adherence Studies Strategy or study that assess extent to which patients or subjects follow recommendations for prescribed intervention; may include compliance assessment, as well as reasons related to actual or potential non-adherence.
Patient Treatment Patterns Assessment of treatment processes and patterns within clinical practice.
Resource Utilization Descriptive and/or analytical review of a treatment that investigate the marketing, distribution, prescription, and use of drugs in populations. Endpoints to be assessed are the medical, social, and economic outcomes.
Systematic Literature Review Summarizes the results of research (that meet pre-defined eligibility criteria for inclusion) and provides a high level of evidence on the outcomes assessed.
Therapy Switch Insight into the reasoning of patients switching treatments and the outcomes of the switch.

Show all 40 services 27 more

HEOR/Value Publications Writing and submission of manuscripts and abstracts focusing on Health Economics and Outcomes Research (HEOR) data, which demonstrate the economic and value proposition of a therapy.

Claims Data & Database Analysis Analysis of care cost and quality.
Cohort Study Investigating the causes of disease to establish links between risk factors and health outcomes.
Exploratory Study Explore study design, outcomes, data-collection method, and selection of population for a topic that needs more research information.
Meta-Analysis Use quantitative statistical approaches to pool results across multiple studies to improve power or resolve uncertainty; may be used in conjunction with a systematic review.
Non-Comparative Study Assess an intervention using a single arm study design (without a control or comparator group).
Payer Outcomes-Based Contract Trial Study or analysis of data (claims, electronic HR/MR) to assess reimbursement or price to actual health outcomes.

Show all 14 in Real World Evidence & Data 8 more

Predictive Analytics Variety of statistical techniques from data mining, predictive modeling, and machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events.
Quantitative or Qualitative Research Either to understand concepts, thoughts, or experiences with qualitative research or to quantify the problem by generating numerical data or data that can be transformed into usable statistics with quantitative research.
Real World Evidence (RWE) Studies Studies (prospective or retrospective) utilizing data obtained from "real world settings" , and is outside the tight controls of a clinical trial design.
Real-World Evidence Acquire clinical data from patients' medical records to analyze trends and the frequency of occurrence of different medical conditions.
Retrospective Exploratory Studies Retrospective exploratory studies
RWE/HEOR Data Analysis Analysis that helps you make sense of your RWE/HEOR data
RWE/RWD Observational Research Research method for documenting clinical, economic, and or humanistic outcomes of actual medical practice absent the constraints of a more formal experimental design. See also Pragmatic Clinical Trials.
Secondary Real World Evidence Analyze clinical trial data.

Bayesian Statistics Extract information from data sets that are subject to error or noise to see unobserved possibilities.
Multivariate Analysis (MVA) Analyze datasets with three or more variables simultaneously to discover hidden patterns, correlations, and underlying structure

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