OUR TEAM
Thirteen Statisticians,
One Point of Contact
Every OnlineSPSS project is run by one Research Coordinator and carried out by PhD-level statisticians who work with us under long-term agreements. The statisticians are described here by role, specialty and software rather than by name, for reasons set out on the Quality & Standards page; Erin, a founder of OnlineSPSS, and Elena Marta, the Research Coordinator, are the only people named.
FOUNDER
Erin
Founder and statistician
Erin is a statistician and a founder of OnlineSPSS. As he puts it, research data deserves careful analysis, a clear explanation and confidential handling, and that is the standard each project is held to, whether it is a first academic study or a multi-site clinical trial. The research question and the conclusions remain yours. Every project, including yours, is run by the Research Coordinator, and every message goes to her under your Project ID.
RESEARCH COORDINATOR
Elena Marta
One of the two statisticians who founded OnlineSPSS in 2014, Elena Marta is the Research Coordinator and the named person on every project. She reads every assessment request, asks what is missing, writes the scope and the fixed fee, assigns the statistician whose profile fits the study, and stays your single point of contact from the first message to the final file. She is statistically trained, so the questions she asks are the questions the statistician would ask.
info@onlinespss.com · +1 424 666 28 24 · replies seven days a week
WHY OUR STATISTICIANS ARE NOT NAMED
Confidentiality Runs
in Both Directions
Our statisticians hold active university research posts, clinical appointments or corporate positions alongside their long-term partnership with OnlineSPSS. Those positions come with institutional agreements and NDAs of their own. Publishing their names would do three things we are not willing to do:
- Put their institutional agreements at risk. Many hold posts that restrict outside work being advertised under their name.
- Create a link between a named person and your unpublished data. The fewer identifiable people attached to your study, the safer your study is.
- Invite direct contact that bypasses the Project ID. Every message goes through the Research Coordinator so nothing is lost, nothing waits on one person and everything stays under your project record.
What you get instead: a named, accountable Research Coordinator; a profile for every statistician with role, doctorate, years, methods and software; and, because statisticians are not individually credited, no request for authorship or rights on paid projects. If you wish to acknowledge the work, “Statistical analysis support was provided by OnlineSPSS.com” is enough. Read the full policy on Quality & Standards
HOW TO READ THE PROFILES
Role, Doctorate, Experience,
Methods, Software
Core team members work with OnlineSPSS under a standing agreement and with no other consulting firm. Specialist partners join larger enterprise projects for their duration and are always disclosed in advance.
Core team
7 statisticians · long-term partners
Advanced methodology and complex study design across academic, clinical and applied research. Provides statistical oversight from study planning and sample size to analytical strategy and publication-ready reporting.
METHODSmultivariate analysis, generalized linear models, longitudinal and repeated-measures analysis, mixed-effects modeling, statistical inference.
Statistical methods for clinical trials, biomedical research and healthcare outcomes studies. Prepares statistical analysis plans and the tables, figures and interpretations that go into scientific publications.
METHODSsurvival analysis, time-to-event outcomes, repeated measures, generalized linear mixed models, GEE, treatment comparisons.
Analysis for clinical and medical research, from retrospective chart reviews to prospective studies, patient outcomes and treatment evaluations. Supports clinicians with methodology, interpretation and manuscript-ready results.
METHODSlogistic regression, Cox proportional hazards, Kaplan-Meier analysis, diagnostic accuracy, risk prediction, longitudinal medical data.
Population-based research, disease epidemiology and the evaluation of public health programs. Works with cohort, case-control and cross-sectional designs and the adjustment and causal questions they raise.
METHODSmultivariable adjustment, confounding assessment, causal inference, incidence and prevalence estimation, longitudinal population health analysis.
Quantitative methods across the social sciences, business, education and psychology. Helps researchers choose the right method, check its assumptions and report it to academic standards.
METHODShypothesis testing, ANOVA, ANCOVA, MANOVA, regression, multivariate methods, survey-based research.
Psychological measurement, questionnaire development and scale validation for behavioral, educational and social science research. Latent variable modeling from first factor analysis to full structural models.
METHODSEFA and CFA, structural equation modeling, measurement invariance, internal consistency, item response theory, mediation and moderation.
Quantitative evidence synthesis for systematic reviews, pairwise and network meta-analysis. Prepares statistically rigorous reviews for academic and clinical publication.
METHODSeffect size estimation, fixed-effect and random-effects models, heterogeneity, meta-regression, subgroup and sensitivity analysis, publication bias.
Specialist partners
6 statisticians · disclosed in advance
Specialist partners join enterprise and large projects for their duration, under the same requirements and confidentiality terms as the core team, and their involvement is always disclosed in advance.
Health economics and outcomes research, economic evaluation and health technology assessment. Builds the evidence behind interventions, treatments, devices and policy.
METHODScost-effectiveness and cost-utility analysis, budget impact modeling, QALYs, decision-analytic modeling, healthcare resource utilization.
Evidence from observational healthcare data: electronic health records, registries and administrative databases. Evaluates treatment effectiveness and safety outside controlled trials.
METHODSpropensity score matching and weighting, comparative effectiveness, causal inference, longitudinal analysis, time-to-event outcomes, pharmacoepidemiology.
Statistics for medical technology, diagnostic devices, digital health and clinical performance evaluation. Supports device, wearable and biomarker studies through validation and submission.
METHODSdiagnostic accuracy, ROC analysis, sensitivity and specificity, agreement and method comparison (Bland-Altman), reliability, clinical validation.
Statistical analysis of genetic, genomic and molecular data in genetic epidemiology and biomarker research. From allele frequencies to genetic risk models.
METHODSSNP analysis, genotype and allele frequency comparison, Hardy-Weinberg equilibrium, genetic association testing, haplotype analysis, genetic risk modeling.
Reproducible statistical programming across SAS, R, Python, Stata and SPSS. Produces analysis-ready datasets, validated reusable code and publication-quality outputs.
METHODScomplex data manipulation, statistical computing, simulation, automation, analytical workflow development, data validation.
Predictive modeling, machine learning and advanced analytics for academic, healthcare and applied research. Builds interpretable, validated models in reproducible pipelines.
METHODSstatistical classification, regularized regression, risk prediction, model validation, missing data methods, predictive performance evaluation.
ASSIGNMENT
Matched to
Your Study
1
By design and field. The Research Coordinator reads the assessment request and matches the study to the profile whose methods fit: a trial to the Senior Biostatistician, a scale validation to the Psychometrician, a registry analysis to the Real-World Evidence Statistician.
2
By availability. Where more than one profile fits, the statistician who can meet your timeline is assigned; for complex projects two may work together.
3
Disclosed when it matters. A second statistician checking the work, or a specialist partner joining an enterprise project, is always told to you in advance and confirmed before anyone else sees your data.
NEXT STEP
Tell Us About
Your Project
The Research Coordinator reads every request personally and replies the same day with a complimentary assessment: scope, timeline and one fixed fee.