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Advanced & Robust Statistcal Approach to Data
Accurate & Transparent Reporting in line with International Guidelines
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Explore how we helped our valued clients to obtain deeper understanding of their data through precise & systematic data analysis

Gain deeper data insight with UK based expert statistical consulting services

Q: What services does ISCON Statistical Consulting Services offer?

ISCON provide a wide range of statistical consulting and analysis services which include but not limited to the selection of research design, data analysis and results interpretation. We can also assist you in designing, conducting and analysing survey research. Our expert assistance is available for an extensive range of areas including grant proposal development, clinical trial design, scientific research design, strategies for data collection, determination of sample size and power, statistical modelling, results interpretation, preparation of manuscripts, data entry and management to some extent. We are specialists in epidemiology studies, clinical trials, statistical genetics, non-parametric methodology, genetic epidemiology, regression and time series analysis, Bayesian methods and graphical methodologies. Moreover, we offer support to non-profit organisations for NSF, private foundation and NIH grants.

ISCON Statistics is your premium statistical consulting partner that provides variety of statistical solutions for the scientific data analysis and reporting. Our statisticians have expertise in wide array of statistical approaches and methodologies. This enables to help you with extensive range of statistical issues. Get precise, reliable and meaningful data insights with our cutting-edge statistical consulting and analysis services.

Whether you are a student, a researcher, an organization or a business, we provide robust, professional and ethical statistical consulting and analysis solutions tailored to your specific needs and budget.

As a leading statistical consulting provider, we enable you to underpin outstanding research. Using our expertise and knowledge, we perform accurate, detailed, and insightful analysis of your provided data. This allows us to provide you with easily comprehensible and valuable insights. By using comprehensible data analysis, you can easily write the outcomes and implications of your research study in a much more effective and impactful manner. Through our high-quality, robust, and accessible statistical consulting services, we facilitate right decision making.

Four reasons to choose us

RSS (UK) registered & experienced statisticians

Methodological statistical approach in data analysis

Structured & systematic approach in data analysis

clear, complete and accurate statistical reporting

Clear & comprehensible reporting with unlimited 24/7 follow-up

On-time & on-budget project delivery

In-depth knowledge and experience of wide range of statistical software and tools

At ISCON Statistical Services, we are dedicated to providing you with expert, accessible, and reliable customized statistical and data analysis services that fit your needs and budget. See our wide range of services

Research Design and Methodology

The validity of study findings not only depends on its results but also on its design and conduct. Consult ISCON statistician early to help you to optimize your study design and streamline the statistical analysis plan

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Data Visualisation

Effective data visualisation also communicates findings clearly and effectively, highlighting important patterns and relationships. Let ISCON statistician help you to create precise and efficient visualisation so that it has the right impact.

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Statistical Analysis & Modelling

Statistics is not only about collecting data and creating graphs and tables; it is a science of making inferences or predictions from observed data applied to a population.

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Dissertation statistical consulting

Whether you need bivariate, univariate, cluster, factor or multivariate statistical analysis, we have you covered for all type of dissertation statistical analysis needs. Using the latest statistical tools and techniques such as SPSS, Matlab, STATA, R, SAS and others, we give you accurate and reliable results.

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Survey Design & Analysis

Our statistical consultants will take it all on ourselves to help you identify the question design, sampling method, and survey result analysis. Our professionals will translate your research goals and aim into an analysis plan based upon sound and reliable statistical practices.

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Clinical Trials Design & Analysis

We understand that the design of any clinical trial is an essential step in implementing an effective clinical research program. This is why investing in clinical trial design and analysis enables you to make the most of your investment. ISCON Statistics has several years of experience and will help to provide tailored and reliable clinical trial design specific to your specific research goals and needs.

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Epidemiology & Genetics

We are at the forefront of modern epidemiologic methodology as well as practice. Driven by your research objectives, our statisticians bring scientific integrity, rigor to protocol design, research reporting, and data analytics. Their expertise elevates understanding and knowledge of the safety and efficacy of drugs, biologics, devices, and healthcare delivery.

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Statistics training

ISCON Statistics provides you with on-site courses in Statistical Methods, Quality, and Reliability so that your team can turn the data you have into a valuable and reliable source of information to enhance and expand your business.

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What sets us apart?

Accountability and Ownership
We deliver what we promise- on-time, within budget. We care about your needs and requirements in same way as you would as an owner.
Curiosity and Creativity
Our curiosity fuels our passion for creativity, which pushes us to go beyond limits and use innovative statistical approach and data visualisation tools.
Credibility and Trust
To build your trust and our credibility, we under-promise but over-deliver. Through our professional and ethical statistical practices, we aim to win your trust.
Continuous Learning
We believe in upgrading our knowledge through continuous learning to align ourselves with the evolving statistical research and methodologies.

core values of ISCON Statistical Consulting UK

Case Studies

At ISCON Statistics, we have served clients in diverse areas to achieve their research goals. Explore our case studies to know more!

Fear of fall in patients with vertebral fractures

Quantile regression approach for non-normal outcome

Predictive risk factors for Asthma

Poisson Regression | Multiple Imputation of Missing Data (MICE) | ROC curve analysis

IVF or ICSI : Which is better?

Modified Poisson regression (Poisson regression with a robust standard errors)

Experienced in a wide range of statistical methods and models

Our statisticians have in-depth knowedge and experience in applying in wide array of statistical methods and modelling techniques.
This enables to help you with extensive range of data analysis questions

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Sample Size and Power Calculation

Sample size determination is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power. In complicated studies there may be several different sample sizes: for example, in a stratified survey there would be different sizes for each stratum. In a census, data is sought for an entire population, hence the intended sample size is equal to the population. In experimental design, where a study may be divided into different treatment groups, there may be different sample sizes for each group.

Linear Model

The General Linear Model (GLM) underlies most of the statistical analyses that are used in applied and social research. It is the foundation for the t-test, Analysis of Variance (ANOVA), Analysis of Covariance (ANCOVA), regression analysis, and many of the multivariate methods including factor analysis, cluster analysis, multidimensional scaling, discriminant function analysis, canonical correlation, and others. Because of its generality, the model is important for students of social research. Although a deep understanding of the GLM requires some advanced statistics training, I will attempt here to introduce the concept and provide a non-statistical description.

Linear Mixed model (Multilevel Model)

Linear mixed models are an extension of simple linear models to allow both fixed and random effects, and are particularly used when there is non independence in the data, such as arises from a hierarchical structure. For example, students could be sampled from within classrooms, or patients from within doctors. When there are multiple levels, such as patients seen by the same doctor, the variability in the outcome can be thought of as being either within group or between group. Patient level observations are not independent, as within a given doctor patients are more similar. Units sampled at the highest level (in our example, doctors) are independent. The figure below shows a sample where the dots are patients within doctors, the larger circles.

Quantile Regression

Standard linear regression techniques summarize the average relationship between a set of regressors and the outcome variable based on the conditional mean function E(y|x). This provides only a partial view of the relationship, as we might be interested in describing the relationship at different points in the conditional distribution of y. Quantile regression provides that capability

Polynomial Regression

If your data points clearly will not fit a linear regression (a straight line through all data points), it might be ideal for polynomial regression.Polynomial regression, like linear regression, uses the relationship between the variables x and y to find the best way to draw a line through the data points.

Segmented Regression

Segmented regression, also known as piecewise regression or broken-stick regression, is a method in regression analysis in which the independent variable is partitioned into intervals and a separate line segment is fit to each interval. Segmented regression analysis can also be performed on multivariate data by partitioning the various independent variables. Segmented regression is useful when the independent variables, clustered into different groups, exhibit different relationships between the variables in these regions. The boundaries between the segments are breakpoints.

Exponential Smoothing State Space Model (ISSM)

Exponential smoothing is a time series forecasting method for univariate data that can be extended to support data with a systematic trend or seasonal component.It is a powerful forecasting method that may be used as an alternative to the popular Box-Jenkins ARIMA family of methods.