Services

The spectrum of services provided are as follows:

Developing hypothesis

Defining objectives of study in mathematical terms
Determining key outcome measures for analysis

Designing Experiments

Sample Size Determination, Power Analysis, and Reliability
Blinding vs Non-Blinding, Matched vs. Non-Matched
Simple vs Blocked Randomization
Cross-Over Designs and Stratification

Designing Databases

Determining baseline, demographic, and outcome variables of interest for data entry and analysis
Designation of categorical data codes

Designing Surveys

Conception of questionnaires

Data Analysis
Input problems – Output solutions via Statistical Programming Packages such as SPSS and SAS. Method of data analysis varies according to hypothesis and data variables at hand. The techniques used are as follows:

Logistic Regression, Odds Ratios, Relative Risk Ratios
Linear Regression (Simple, Multiple, Generalized)
Correlation Analysis
Categorical Data Analysis
Non Parametric Data Analysis
Analysis of Variance (ANOVA)
Analysis of Covariance (ANCOVA)
ARIMA and VAR Models for Time Series Analysis
Longitudinal (Repeated Measures) Data Analysis
Survival Analysis
General Statistical Analysis (Z-tests, t-tests, F-tests, chi-squares, binominal distributions)
Receiver Operator Characteristic (ROC) Curves

Business Reports

Provide tables, graphics and written summaries interpreting results of data analysis