RESEARCH DISCIPLINE
MPH and DrPH Statistics Support
for Capstones and Dissertations
For public health degree projects: data from a program or a national survey described with the right design features, risks and prevalence estimated with intervals, and results reported so that a community partner and a committee can both use them.
No Commitment Required
Strictly Confidential
In-House PhD-Level Statisticians
Fixed Project Fee
Same-Day Response
What Does MPH and DrPH Analysis Involve?
MPH and DrPH statistics support covers the quantitative analysis in an applied public health degree project: a capstone or practicum on program data, or a doctoral dissertation on a population-level question. MPH capstone statistics usually concern a bounded question with data from a partner agency or a national survey, whereas DrPH dissertation analysis may combine several sources around a policy or practice question. Either way, the analysis states who was counted and estimates prevalence or risk with confidence intervals. The agreed work is carried out in-house by PhD-level statisticians at OnlineSPSS, a specialist statistical consultancy for academic, clinical and professional research, and what the findings mean for a community is your professional judgment.
WHEN TO ENGAGE
Degree Milestones That Bring Statistical Questions
Public health degrees put analysis under two pressures, a bounded time frame and an audience of both academics and practitioners, so the milestone shapes the work.
Capstone Question Taking Shape A practicum or capstone question exists, and the available data, the population they describe and an achievable analysis must be matched before the plan is fixed.
Partner Records Received A health department, clinic or community organization has supplied records, and the first questions concern definitions, duplicates, small counts and what the agreement allows to be reported.
National Survey as the Source A public-use survey file will answer the question, and its sampling weights, strata and the subpopulation of interest must be handled correctly and not as an ordinary sample.
Dissertation Aims Across Sources A DrPH dissertation joins program, survey or registry data to a policy question, and each aim must be tied to an analysis that the combined data can support.
POPULATION-LEVEL ESTIMATES
Prevalence, Risk and Program Data
Degree projects share a few recurring tasks and differ mainly in whether the data come from a survey, a program or a registry, which decides how each task is done.
Defining the Population
The denominator is stated first: who was eligible, who was counted and who is missing, since a rate or a prevalence means little without its denominator.
Prevalence and Incidence
Burden is estimated as set out in Incidence & Prevalence Analysis, with intervals suited to small counts and the period stated.
Risk Factors and Outcomes
Associations with a binary outcome follow Logistic Regression, and a prevalence ratio is considered when the outcome is common.
Capstone Scope for One Term
The question, the data and the analysis are matched to what one term allows, so a feasible primary analysis is fixed first and further aims are named as exploratory or left for later work.
Program Evaluation Data
A program with no comparison group is described as change among participants, with the plan set out through Research Planning & Study Design.
Reporting to Partners
Findings are prepared for the committee and for the partner organization, with small cells handled as the agreement requires, in the context of Public Health.
RISKS IN PUBLIC HEALTH PROJECTS
Borrowed Data and Degree-Project Errors
Errors in public health degree projects tend to enter where data are taken from a source whose design the analyst did not control.
Odds Ratio Quoted as Risk A common outcome is modeled with an odds ratio that is then described as how many times more likely, which overstates the difference when the outcome is not rare.
Weights Left Unexplained A survey file is analyzed with its weights, but the methods section never says which weight was used or what population the percentages describe, and a committee cannot judge the estimates.
Tables Built Before the Rules A partner agreement withholds small cells, yet the tables are built first and trimmed later, so groups must be coarsened or pooled afterward and the analysis plan no longer matches the report.
Denominator Left Unclear A count is divided by a population that does not match the people who could have been counted, which makes rates from different sources incomparable.
Wording Stronger Than the Design A program with no comparison group is said to have worked because participants improved, when the report can only describe change among participants and name the limits of that reading.
Every Outcome Tested, Few Reported A capstone tests every outcome in the partner's file and reports those that reach significance, so the findings a partner may act on can be chance results among many comparisons.
DELIVERABLES
Definitions, Estimates and a Partner Brief
The items connect each reported figure to its source population and its definition, for a committee and for a partner organization that asks where a number came from.
Population and Source Table A table of the data sources, the population each covers, the period, the eligibility rules and the number of records at each stage of selection.
Case Definition Sheet The definitions of the outcome, the exposure and the covariates, with the codes or survey items used and any changes in definition across years.
Prevalence and Risk Tables Prevalence, rates and ratios with 95% confidence intervals and the counts behind them, in the layout your program or journal requires.
Survey Design Statement A statement of the weights, strata and clusters used for each survey-based estimate, so that the design handling can be checked by a reviewer.
Partner Summary Brief A short plain-language summary of the main findings and their limits for the community partner or agency, for you to check and present.
Script Set per Table Scripts that rebuild each table and figure from the cleaned file, so the analysis can be repeated when the agency supplies updated data.
ILLUSTRATIVE EXAMPLE
Vision Screening Coverage That Differed by School
An illustration of how a capstone estimates a prevalence from program records when not every child was screened.
ILLUSTRATIVE EXAMPLE · SCHOOL-BASED VISION SCREENING PROGRAM RESEARCH · UNITED STATES
An MPH candidate completing a capstone with a county health department wanted to describe how common a failed vision screening was among elementary school children and whether it differed by school type.
The denominator was settled first: all enrolled children, with the screened children as a subset. The complication was uneven coverage, since some schools screened most of their enrolled children and others few. The capstone reported the prevalence among screened children with its 95% confidence interval, allowed for children grouped within schools through a school-level random intercept, and compared school types with a prevalence ratio because the outcome was common. A sensitivity analysis reweighted screened children by enrollment within each school and grade, with the caveat that weighting adjusts only for measured differences.
Outcome: The candidate received the prevalence with its 95% confidence interval, the prevalence ratio by school type, the coverage table, the sensitivity analysis, the scripts and a one-page brief for the health department.
This example does not describe a real client or project. We never share details of actual client work, in line with the confidentiality we promise every researcher. This illustrative example is included to show the type, scope, and standard of work involved in this kind of analysis.
SOFTWARE
Tools Public Health Programs Already Use
The program follows your school's requirements, the partner agency's practice and whether the data come with a survey design that must be declared.
HOW WE ASSESS YOUR PROJECT
We Review Your Actual Research
Your assessment is based on a review of your actual research materials and analytical requirements, not a generic project category.
You Submit Your Project Details
Share whatever is available at the current stage, such as the research aim, protocol or proposal, dataset, variable list, manuscript or statistical requirements.
We Review Your Research and Define the Scope
Your statistically trained Research Coordinator reviews the materials to understand the study design, research questions, data structure, analytical requirements and expected deliverables. If clarification is needed, additional documents or information can be requested before the assessment is finalized.
Your Analysis Is Completed and Delivered
Once the scope and fixed project fee are agreed, the in-house statistician completes the work and the Research Coordinator remains the communication point through delivery, with the analysis, deliverables and timeline as agreed.
RESEARCH RESPONSIBILITY
A Community's Next Step Is the Researcher's Judgment
Which findings matter for a community, and what a program or agency should do about them, are professional judgments that the researcher makes.
Agreed Statistical Support OnlineSPSS provides the agreed methodological, analytical and statistical reporting support, defined in a scope that is confirmed before any work begins.
No Intellectual Contribution OnlineSPSS does not claim any intellectual contribution to your research. Authorship of the capstone report or dissertation remains yours.
Your Research Decisions The public health question, the choice of population or program, the interpretation of the findings and the recommendations remain yours, with overall responsibility.
Confidential Handling Research data and project details are handled confidentially, project information is not published, and an NDA is available where required.
FREQUENTLY ASKED QUESTIONS
Aggregate Counts, Small Numbers and Agency Data
Analyses of aggregate counts, rates from few cases and data under a use agreement, for MPH and DrPH researchers.
What does MPH and DrPH statistics support cover?
MPH and DrPH statistics support at OnlineSPSS covers the quantitative analysis of a public health capstone or dissertation: defining the population, estimating prevalence and risk with confidence intervals, handling survey designs and reporting the results. An MPH capstone is usually narrower than a DrPH dissertation, and the depth of the analysis is matched to the degree and the committee’s expectations.
Can I analyze aggregate counts from a health department?
Yes, with limits. Counts by area and period support rates and trends, and count models use the population at risk as an exposure term, but conclusions describe areas and not the people in them, since an association across areas may not hold within individuals, and rates are age-standardized where age structures differ.
How should a rate based on very few cases be reported?
The count is reported with the rate, together with an interval that suits small numbers, since the usual normal approximation performs poorly when events are few. Pooling years or neighboring areas may stabilize the estimate, and cells below the agency’s reporting threshold are suppressed, with the table stating which values are withheld.
Can data under a data use agreement be analyzed?
Where the agreement and your institution permit it. The agreement is checked for what may be shared and reported, identifiers should be removed before files are shared, and an NDA can be arranged before sensitive materials are sent. The reporting rules in the agreement then shape how the tables are built.
How do you protect my research data and confidentiality?
Your data and project details are handled confidentially, and project information is not published. Researcher names and institutions are not used publicly without permission. An NDA is available where required and can be arranged before sensitive materials are shared. Read more about confidentiality and data security.
What happens when I request an assessment, and how long does it take?
You share your research question, design and relevant materials, such as the capstone proposal, the data source and any data use agreement, and a statistically trained Research Coordinator reviews the request and responds the same day. The analysis, deliverables, timeline and one fixed project fee are then confirmed before any work begins, so the timeline follows from the agreed scope.
Still have a question? Find more answers in our full FAQ.
NEXT STEP
Public Health Estimates
With Their Denominators Stated
Who was counted, and who was missed, often decides more in a capstone or DrPH dissertation than the model fitted to the counts.
No Commitment Required
Strictly Confidential
Fixed Project Fee
In-House PhD-Level Statisticians
Same-Day Response
Serving Researchers Since 2014