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COVID-19 Prevention Phase 2/3 Terminated NCT04642638

INNOVATE: Complete Statistical Analysis of INO-4800 in COVID-19

An independent statistical analysis of the randomized phase 2/3 INNOVATE trial evaluating the safety, immunogenicity, and efficacy of INO-4800 for COVID-19 in adults at high risk of SARS-CoV-2 exposure.

Trial start: November 30, 2020  ·  Primary completion: September 13, 2022  ·  Sponsor: Inovio Pharmaceuticals
Scope of this record

This page separates reported trial results from statistical interpretation. Numerical results are restricted to the ClinicalTrials.gov record. Where the registry contains an endpoint or result without a formal statistical-analysis record, that distinction is made explicitly.

Registry note: This page provides an independent statistical analysis and educational interpretation of publicly reported results. ClinicalTrials.gov provides the official trial registry record.

1. Trial at a Glance

INNOVATE was a randomized, quadruple-masked, sequential phase 2/3 trial evaluating INO-4800 for prevention of COVID-19 in adults at high risk of SARS-CoV-2 exposure. The registry reports six arms and an enrollment of 1307 participants, with primary analyses focused on phase 2 cellular and neutralizing-antibody immune responses and a phase 3 virologically confirmed COVID-19 endpoint.

1307
Enrollment
Total enrolled
6
Arms
Sequential design
2/3
Phase
Phase 2/3
4
Masking
Quadruple-masked
FeatureINNOVATE
Trial nameINNOVATE
ClinicalTrials.gov identifierNCT04642638
PhasePhase 2/3
StatusTerminated
Therapeutic areaPulmonology
ConditionsCoronavirus Infection; Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2); COVID-19 Disease
AllocationRandomized
Design modelSequential
MaskingQuadruple
Primary purposePrevention
Enrollment1307
InterventionsINO-4800; CELLECTRA® 2000; Placebo; CELLECTRA® 2000
Lead sponsorInovio Pharmaceuticals
Sponsor typeIndustry

2. Clinical Question

The clinical question was whether INO-4800 could generate measurable antigen-specific cellular and neutralizing-antibody immune responses and, in phase 3, affect the occurrence of virologically confirmed COVID-19 disease in participants who were SARS-CoV-2 seronegative at baseline.

Population

Adults at high risk of SARS-CoV-2 exposure, in a trial addressing Coronavirus Infection, SARS-CoV-2, and COVID-19 Disease.

Intervention

INO-4800, administered with the CELLECTRA® 2000 device within the randomized trial structure.

Comparator

Placebo, with CELLECTRA® 2000 identified among the trial interventions.

Primary question

How did the randomized groups compare in immune-response endpoints in phase 2, and how was virologically confirmed COVID-19 disease defined for the phase 3 efficacy endpoint?

3. Trial Design

01
Randomize1307 participants
02
Phase 2Immune-response assessment
03
Phase 3COVID-19 disease endpoint
04
AssessImmune response and disease
05
ReportRegistry results
Allocation
Randomized
Design model
Sequential
Masking
Quadruple
Primary purpose
Prevention
Arms
Six
Study period
November 30, 2020 to September 13, 2022

The ClinicalTrials.gov record identifies the study as a six-arm, randomized, quadruple-masked, sequential phase 2/3 prevention trial. The available trial data do not provide enough detail to reconstruct the full six-arm assignment structure, dose schedules, or randomization ratio, so those features are not inferred here.

4. Trial Arms and Intervention Structure

The registry data identify INO-4800, placebo, and the CELLECTRA® 2000 device among the trial interventions. The phase-specific serious-adverse-event records further identify six named dose groups or treatment groups.

PHASE 2 · INO-4800

Dose groups

  • INO-4800 Dose Group 1
  • INO-4800 Dose Group 2
  • Serious adverse events: 4/151 and 2/147, respectively
PHASE 2 · PLACEBO

Placebo dose groups

  • Placebo Dose Group 1
  • Placebo Dose Group 2
  • Serious adverse events: 3/50 and 2/51, respectively
PHASE 3 · INO-4800

INO-4800 dose group

  • INO-4800 Dose Group (2.0mg Per
  • Serious adverse events: 4/601
PHASE 3 · PLACEBO

Placebo dose group

  • Placebo Dose Group
  • Serious adverse events: 4/302
Arm-label limitation: the registry extract contains the phase 3 label “INO-4800 Dose Group (2.0mg Per” without a completed dose description. The wording is therefore preserved rather than expanded or interpreted.

5. Primary Endpoints

EndpointTime frameTypeRegistry definition
Phase 2: Change From Baseline in Antigen-specific Cellular Immune Response Measured by Interferon-gamma (IFN-γ) Enzyme-linked Immunospot (ELISpot) Assay Baseline up to Week 6 Other / unclear Whole blood and serum samples were collected for the cellular immunology assessment. The antigen-specific cellular immune response to INO-4800 was measured in spot-forming units per million peripheral blood mononuclear cells (SFU/10^6, PBMC) using ELISpot. No samples collected after Week 6 were analyzed.
Phase 2: Change From Baseline in Neutralizing Antibody Response Measured by a Pseudovirus-based Neutralization Assay Baseline up to Week 6 Other / unclear The immune responses to INO-4800 were measured using assays that included a pseudovirus-based neutralization assay. Immunology blood samples were collected at serial timepoints. No samples collected after Week 6 were analyzed.
Phase 3: Percentage of Participants (SARS-CoV-2 Seronegative at Baseline) With Virologically-confirmed COVID-19 Disease From 14 days after completion of the 2-dose regimen up to 3 months post-dose 2 (i.e. Day 42 up to Day 126) Binary Participants were virologically-confirmed cases of COVID-19 if tested positive by SARS-CoV-2 RT-PCR assay, with specified COVID-19 symptoms.

The registry identifies three primary endpoints, while the ClinicalTrials.gov record contains six formal primary analyses. Those six analyses correspond to the two phase 2 immune-response endpoints, with three pairwise comparisons for the cellular endpoint and three pairwise comparisons for the neutralizing-antibody endpoint.

6. Analysis Populations

The formal primary analyses posted on ClinicalTrials.gov for the phase 2 immune-response endpoints used a per-protocol (PP) population. The registry description states that the PP population included participants who received all doses of the trial intervention and had no key protocol violations.

PopulationRole in the ClinicalTrials.gov record
Per-protocol populationUsed for the six reported primary phase 2 statistical analyses.
Overall number analyzedThe registry describes this as the number of participants included in the particular analysis; the registry-reported extract does not provide the complete analysis-specific counts.
Why this matters: a per-protocol analysis answers a somewhat narrower question than an analysis based on all randomized participants. Participants who do not complete the intervention or who have key protocol violations can be excluded from the PP analysis. That can improve adherence to the protocol-defined treatment contrast, but it can also reduce the protection against post-randomization selection that randomization provides.

7. Results: Phase 2 Cellular Immune Response

The first primary phase 2 endpoint measured change from baseline in antigen-specific cellular immune response using IFN-γ ELISpot. The outcome unit was SFU/10^6, PBMC, and the registry reports differences in medians with two-sided non-parametric 95% confidence intervals.

INO-4800 Dose Group 1 vs Placebo Dose Group 1

Difference in median change from baseline

6.70

95% CI: 0.00 to 6.70   ·   Two-sided

Outcome: SFU/10^6, PBMC

Clinical Biostats interpretation

The reported estimate of 6.70 is the difference in median post-baseline change from baseline between the two specified phase 2 groups. In the direction reported, the estimate indicates a higher median change in the INO-4800 Dose Group 1 comparison than in the Placebo Dose Group 1 comparison.

The estimate does not mean that every participant had a change of 6.70 SFU/10^6, nor does it describe an individual-level treatment effect. It is a comparison of group-level medians.

The two-sided 95% confidence interval extends from 0.00 to 6.70. This describes uncertainty around the estimated median difference under the analysis framework; it does not describe the range of immune responses in individual participants.

No p-value is reported in the registry statistical-analysis record. A p-value would address compatibility with a specified null hypothesis, not the magnitude or practical importance of the estimated difference. The registry also describes the analysis as non-parametric but does not name the specific statistical test.

INO-4800 Dose Group 2 vs Placebo Dose Group 2

Difference in median change from baseline

13.30

95% CI: 3.30 to 17.80   ·   Two-sided

Outcome: SFU/10^6, PBMC

Clinical Biostats interpretation

The reported median difference of 13.30 compares the post-baseline change from baseline between INO-4800 Dose Group 2 and Placebo Dose Group 2. The positive estimate indicates a higher median change in the INO-4800 group under the direction of the reported contrast.

The confidence interval from 3.30 to 17.80 provides a range of values compatible with the estimated median difference under the stated statistical framework. It does not mean that 95% of participants had individual changes within that interval.

No p-value is reported for this analysis. A confidence interval and a p-value answer related but different questions: the interval conveys the estimated effect and its precision, whereas a p-value summarizes evidence against a particular null hypothesis.

The analysis was performed in the per-protocol population. That is important because the result applies to the participants included in that protocol-defined population rather than automatically to every randomized participant.

INO-4800 Dose Group 1 vs INO-4800 Dose Group 2

Difference in median change from baseline

−6.60

95% CI: −10.00 to 0.00   ·   Two-sided

Outcome: SFU/10^6, PBMC

Clinical Biostats interpretation

The estimate of −6.60 compares the two INO-4800 dose groups. Under the reported contrast, the negative estimate indicates a lower median change in Dose Group 1 relative to Dose Group 2.

The 95% confidence interval spans −10.00 to 0.00. Because the interval reaches 0.00, the registry-reported interval does not exclude no median difference at the corresponding two-sided confidence level.

No p-value is provided, so a formal p-value-based inference should not be reported. The estimate also should not be interpreted as evidence of a particular dose-response mechanism: a between-dose comparison is descriptive of the measured endpoint unless the broader trial design and prespecified hypotheses establish a dose-response question.

8. Results: Phase 2 Neutralizing Antibody Response

The second primary phase 2 endpoint measured change from baseline in neutralizing antibody response using a pseudovirus-based neutralization assay. The outcome unit was inhibition dilution 50 (ID50). The registry reports geometric mean fold-rise ratios for the between-group comparisons.

INO-4800 Dose Group 1 vs Placebo Dose Group 1

Geometric mean fold-rise ratio

2.50

95% CI: 1.720 to 3.632   ·   Two-sided

Outcome: inhibition dilution 50 (ID50)

Clinical Biostats interpretation

A geometric mean fold-rise ratio of 2.50 means that the geometric mean fold rise in the INO-4800 Dose Group 1 comparison was 2.50 times the corresponding value in Placebo Dose Group 1 under the reported analysis.

This is a relative geometric measure; it does not mean that antibody titers increased by exactly 2.50 units, that every participant experienced a 2.50-fold increase, or that the ratio directly represents clinical protection against COVID-19.

The 95% confidence interval of 1.720 to 3.632 describes uncertainty around the estimated ratio. Because the interval is entirely above 1, the registry-reported confidence interval is consistent with a positive between-group geometric mean fold-rise ratio at the stated confidence level.

The registry states that the 95% confidence interval was based on a t-distribution and that the GMFR ratio was based on between-treatment-group comparisons. No p-value is reported.

INO-4800 Dose Group 2 vs Placebo Dose Group 2

Geometric mean fold-rise ratio

3.88

95% CI: 2.638 to 5.700   ·   Two-sided

Outcome: inhibition dilution 50 (ID50)

Clinical Biostats interpretation

A ratio of 3.88 indicates that the geometric mean fold rise in the INO-4800 Dose Group 2 comparison was 3.88 times that in Placebo Dose Group 2 under the reported analysis.

The estimate is not an absolute antibody concentration and does not establish that a participant was protected from infection or disease. Immunogenicity and clinical efficacy are related questions, but they are not interchangeable endpoints.

The 95% confidence interval, 2.638 to 5.700, indicates the precision of the estimated ratio under the specified statistical framework. It does not give the range of individual participant responses.

The registry states that the confidence interval was based on a t-distribution.

Placebo Dose Group 1 vs Placebo Dose Group 2

Geometric mean fold-rise ratio

0.68

95% CI: 0.512 to 0.893   ·   Two-sided

Outcome: inhibition dilution 50 (ID50)

Clinical Biostats interpretation

The reported ratio of 0.68 compares the geometric mean fold rises of the two placebo dose groups. Under the stated contrast, the geometric mean fold rise for Placebo Dose Group 1 was 0.68 times that for Placebo Dose Group 2.

The estimate should not be interpreted as a treatment effect because both groups are placebo groups. It is a comparison within the placebo portion of the phase 2 design.

The 95% confidence interval is 0.512 to 0.893. Because the interval is below 1, the estimated ratio is distinguishable from a ratio of 1 at the corresponding two-sided confidence level under the registry-reported analysis framework. That statistical statement does not by itself establish a clinically meaningful difference.

No p-value is provided. The analysis notes again specify that the confidence interval was based on a t-distribution.

9. Primary Results in One Table

Primary endpointComparisonEffect measureEstimate95% CI
IFN-γ ELISpot change from baseline INO-4800 Dose Group 1 vs Placebo Dose Group 1 Difference in median 6.70 0.00 to 6.70
IFN-γ ELISpot change from baseline INO-4800 Dose Group 2 vs Placebo Dose Group 2 Difference in median 13.30 3.30 to 17.80
IFN-γ ELISpot change from baseline INO-4800 Dose Group 1 vs INO-4800 Dose Group 2 Difference in median −6.60 −10.00 to 0.00
Neutralizing antibody change from baseline INO-4800 Dose Group 1 vs Placebo Dose Group 1 GMFR ratio 2.50 1.720 to 3.632
Neutralizing antibody change from baseline INO-4800 Dose Group 2 vs Placebo Dose Group 2 GMFR ratio 3.88 2.638 to 5.700
Neutralizing antibody change from baseline Placebo Dose Group 1 vs Placebo Dose Group 2 GMFR ratio 0.68 0.512 to 0.893
The reported phase 2 endpoints are continuous immune-response measures rather than time-to-event outcomes. The registry therefore reports median differences and geometric mean fold-rise ratios rather than Kaplan-Meier estimates or hazard ratios.

10. Planned Analysis: Phase 3 COVID-19 Disease Endpoint

The registry reports results for the phase 3 primary endpoint, but the ClinicalTrials.gov record does not contain a formal statistical-analysis entry for this endpoint.

Registered phase 3 endpoint

Binary outcome

Percentage of participants who were SARS-CoV-2 seronegative at baseline with virologically confirmed COVID-19 disease

Time frame: Day 42 up to Day 126

The endpoint is defined over a specified post-vaccination period: from 14 days after completion of the 2-dose regimen through 3 months after dose 2, corresponding to Day 42 through Day 126. The registry-reported definition identifies virologically confirmed cases using a positive SARS-CoV-2 RT-PCR assay together with specified COVID-19 symptoms.

How a binary efficacy endpoint is typically analyzed
Treatment effect = event probability in intervention group relative to event probability in comparator group

For a binary disease endpoint, common effect measures include a risk ratio, risk difference, or odds ratio. In a randomized prevention trial, the choice should follow the prespecified statistical analysis plan and should be accompanied by an appropriate confidence interval. If time to confirmed disease is analyzed instead, a time-to-event method such as Kaplan-Meier estimation and a Cox model may be appropriate, but that method is not specified in the ClinicalTrials.gov record and therefore is not attributed to INNOVATE.

Important distinction: the fact that results are posted for the phase 3 endpoint does not supply a formal treatment comparison in the six statistical-analysis records provided here. The absence of an analysis record in the ClinicalTrials.gov record is why no phase 3 effect estimate is presented.

11. Statistical Methodology

Median differences for IFN-γ ELISpot

The cellular immune-response analyses compared post-baseline changes from baseline using differences in medians. The analysis notes describe these as non-parametric 95% confidence intervals. The specific non-parametric test or estimation procedure is not reported in the ClinicalTrials.gov record.

Median difference
Median difference = Median(change in group A) − Median(change in group B)

Unlike a mean difference, a median difference focuses on the middle observation of each distribution. This can be useful when immune-response measurements are skewed or contain extreme observations.

Geometric mean fold-rise ratios

The neutralizing-antibody analyses used geometric mean fold-rise ratios. The registry-reported analysis notes state that the 95% confidence intervals were based on a t-distribution and that the GMFR ratio was based on between-treatment-group comparisons.

Ratio interpretation
Ratio = GMFR in comparison group A ÷ GMFR in comparison group B

A ratio of 1 represents equal geometric mean fold rise between the two comparison groups. A ratio above 1 indicates a larger geometric mean fold rise in the numerator group; a ratio below 1 indicates a smaller one.

Per-protocol analysis

The reported phase 2 analyses used a PP population consisting of participants who received all doses and had no key protocol violations. The choice changes the population being compared and therefore changes the interpretation of the estimate.

Binary disease endpoint

The phase 3 primary endpoint is binary: participants either meet the registry definition of virologically confirmed COVID-19 disease during the specified period or they do not. The ClinicalTrials.gov record identifies the endpoint and time frame but do not identify the formal statistical model used for the posted phase 3 result.

Confidence intervals

All six registry-reported primary statistical analyses report two-sided 95% confidence intervals. A confidence interval is useful because it presents both an estimated effect and the uncertainty surrounding that estimate. It should not be interpreted as a statement that 95% of individual patient responses fall within the interval.

12. Statistical Methods Explained

Why use a difference in medians for the ELISpot endpoint?

The reported ELISpot analysis compares changes from baseline using differences in medians and a non-parametric confidence interval. A median is less sensitive to extreme observations than a mean, which can be useful for biological measurements that are not well described by a symmetric distribution. The ClinicalTrials.gov record does not identify the exact non-parametric test, so no specific test is attributed to the trial.

What does a median difference of 13.30 mean?

It means that the median change from baseline in the first named group exceeded the corresponding median change in the comparison group by 13.30 SFU/10^6, PBMC under the reported contrast. It does not mean that each participant differed by 13.30, nor that the result describes the full distribution of immune responses.

What does a geometric mean fold-rise ratio of 3.88 mean?

A ratio of 3.88 means the geometric mean fold rise in the first named group was 3.88 times that in the comparison group. Because this is a ratio of geometric quantities, it is naturally interpreted multiplicatively rather than as an additive difference in ID50.

Why does the confidence interval matter?

An estimate without uncertainty can conceal how precisely the data identify the effect. For example, the 3.88 ratio has a 95% confidence interval from 2.638 to 5.700. The interval communicates the uncertainty around the ratio; it does not establish a range of effects that must occur in individual participants.

Why does a p-value not measure effect size?

A p-value is a measure of how compatible the observed data are with a specified null hypothesis under the statistical model. It does not tell the reader how large the observed effect is. Effect estimates and confidence intervals are therefore essential for understanding magnitude and precision.

Why does the phase 3 endpoint require a different analysis framework?

The phase 3 endpoint is binary rather than continuous. The primary question is whether participants experienced virologically confirmed COVID-19 disease during a defined interval. Binary outcomes are therefore summarized using event proportions and an appropriate comparative effect measure, according to the prespecified analysis plan. The registry extract does not identify the formal phase 3 statistical method.

Why does the per-protocol population matter?

A PP population excludes participants who do not meet specified adherence or protocol criteria. This can provide a clearer estimate of the effect among participants who followed the protocol, but it also means the result is not automatically equivalent to an analysis of all randomized participants. The distinction is particularly important when interpreting randomized trials.

13. Understanding the Immune-Response Results

Cellular immunity

The IFN-γ ELISpot endpoint measures antigen-specific cellular immune response using spot-forming units per million peripheral blood mononuclear cells.

Neutralizing antibodies

The pseudovirus-based neutralization endpoint is expressed in inhibition dilution 50 (ID50), with results reported as geometric mean fold-rise ratios.

Different effect scales

The cellular endpoint uses a median difference, whereas the antibody endpoint uses a geometric ratio. Their numerical estimates therefore cannot be directly compared.

Week 6 boundary

The registry definitions state that no samples collected after Week 6 were analyzed for these phase 2 immune-response endpoints.

The two phase 2 endpoints address different biological dimensions of immune response. A cellular immune-response estimate in SFU/10^6, PBMC and an antibody GMFR ratio are on different measurement scales. A larger numerical value in one analysis therefore does not imply a larger biological or clinical effect than a different numerical value in the other analysis.

14. Multiplicity and Multiple Primary Analyses

The ClinicalTrials.gov record identifies three registered primary endpoints and six formal primary statistical analyses. The six analyses arise because the two phase 2 endpoints were each examined across three pairwise comparisons.

Endpoint familyFormal comparisons reportedEffect measure
IFN-γ ELISpot change from baseline INO-4800 Dose Group 1 vs Placebo Dose Group 1; INO-4800 Dose Group 2 vs Placebo Dose Group 2; INO-4800 Dose Group 1 vs Dose Group 2 Difference in median
Neutralizing antibody change from baseline INO-4800 Dose Group 1 vs Placebo Dose Group 1; INO-4800 Dose Group 2 vs Placebo Dose Group 2; Placebo Dose Group 1 vs Placebo Dose Group 2 GMFR ratio

The ClinicalTrials.gov record does not state the multiplicity-adjustment procedure, familywise error rate, alpha allocation, hierarchical testing sequence, or hypothesis hierarchy for these six analyses. Consequently, the confidence intervals are reported exactly as provided, but no additional claim about multiplicity control is made.

Interpretation caution: when multiple comparisons are made, the chance of obtaining an apparently unusual result can increase if each comparison is interpreted independently. Whether and how that issue is addressed depends on the prespecified statistical plan. The ClinicalTrials.gov record does not provide enough information to reconstruct such a multiplicity strategy.

15. Safety Results

The ClinicalTrials.gov record reports serious adverse events by arm as affected participants divided by participants at risk. These counts are reported separately for the phase 2 and phase 3 groups.

Study groupSerious adverse eventsAffected / at risk
Phase 2: INO-4800 Dose Group 1Serious adverse events4 / 151
Phase 2: INO-4800 Dose Group 2Serious adverse events2 / 147
Phase 2: Placebo Dose Group 1Serious adverse events3 / 50
Phase 2: Placebo Dose Group 2Serious adverse events2 / 51
Phase 3: INO-4800 Dose Group (2.0mg PerSerious adverse events4 / 601
Phase 3: Placebo Dose GroupSerious adverse events4 / 302

The affected/at-risk counts describe the number of participants with serious adverse events relative to the number at risk in each listed group. They are safety counts rather than efficacy estimates, and they should not be combined across phase 2 and phase 3 without a prespecified definition of the population and exposure period.

Safety interpretation: the ClinicalTrials.gov record contains serious-adverse-event counts but do not provide a formal between-group safety hypothesis test, confidence interval, severity distribution, causality assessment, or exposure-adjusted incidence rate. Those quantities are therefore not inferred here.

16. Randomization and Blinding

Randomization is a central design feature of INNOVATE. Random assignment helps create comparable groups at baseline, so observed between-group differences can be interpreted in the context of a randomized treatment comparison rather than a purely observational comparison.

The trial is described as quadruple-masked. Masking can reduce the opportunity for knowledge of assignment to influence participant behavior, clinical assessment, treatment administration, or other aspects of the trial. The ClinicalTrials.gov record does not specify the four masked roles, so they are not identified here.

Randomization protects comparison

Random assignment helps balance known and unknown prognostic factors in expectation, supporting causal interpretation of treatment-group differences.

Masking protects measurement

Masking can reduce bias that could arise when participants or study personnel know which intervention was assigned.

17. Timing of Endpoint Assessment

November 30, 2020

Trial start

The ClinicalTrials.gov record identifies November 30, 2020 as the study start date.

Baseline to Week 6

Phase 2 immune-response window

Both registered phase 2 primary immune-response endpoints use a baseline-up-to-Week-6 time frame. No samples collected after Week 6 were analyzed for these endpoints.

Day 42 to Day 126

Phase 3 disease window

The registered COVID-19 disease endpoint begins 14 days after completion of the 2-dose regimen and extends to 3 months post-dose 2.

September 13, 2022

Primary completion

The ClinicalTrials.gov record identifies September 13, 2022 as the primary completion date.

The different assessment windows illustrate an important statistical principle: an endpoint is defined not only by what is measured, but also by when it is measured. A Week 6 immune-response comparison and a Day 42-to-Day 126 disease endpoint answer different questions and should not be conflated.

18. What the Effect Measures Do — and Do Not — Mean

Median difference

A median difference such as 13.30 summarizes how the middle values of two change-from-baseline distributions differ. It does not imply that every participant experienced that difference and does not describe the variability of individual responses.

Geometric mean fold-rise ratio

A ratio such as 3.88 describes a multiplicative comparison of geometric mean fold rises. It does not mean that antibody measurements increased by 3.88 absolute units, nor does it by itself establish clinical protection.

Confidence interval

A 95% confidence interval describes statistical uncertainty around an estimated effect under the specified analysis framework. It does not represent the distribution of individual participant responses.

P-value

No p-values are posted on ClinicalTrials.gov for the six formal primary analyses in the ClinicalTrials.gov record.

19. Primary Endpoint Comparison: Statistical Reading

QuestionWhat the ClinicalTrials.gov record allows us to say
Was the phase 2 cellular response compared statistically?Yes. Three median-difference comparisons are reported, each with a two-sided 95% confidence interval.
Was the phase 2 neutralizing-antibody response compared statistically?Yes. Three geometric mean fold-rise ratio comparisons are reported, each with a two-sided 95% confidence interval.
Are p-values reported?No p-values are reported in the six statistical-analysis records.
Is a formal phase 3 treatment-effect estimate reported?No formal statistical-analysis record for the phase 3 primary endpoint appears in the registry-reported six analysis records.
Can a clinical efficacy conclusion be inferred from immune-response estimates alone?No. Immune-response measures and virologically confirmed COVID-19 disease are distinct endpoints.

20. Important Limitations and Interpretation Issues

21. Why This Trial Matters Statistically

INNOVATE is a useful statistical teaching case because it places two different classes of endpoint in the same randomized phase 2/3 program: continuous immunogenicity measures in phase 2 and a binary clinical disease endpoint in phase 3.

ConceptHow it appears in INNOVATE
RandomizationThe trial uses randomized allocation.
BlindingThe registry describes the study as quadruple-masked.
Sequential designThe design model is listed as sequential.
Continuous endpointPhase 2 immune-response changes are continuous measurements.
Median differenceIFN-γ ELISpot changes are compared using differences in medians.
Geometric ratioNeutralizing-antibody results are expressed using geometric mean fold-rise ratios.
Confidence intervalsAll six registry-reported formal primary analyses report two-sided 95% confidence intervals.
Per-protocol analysisThe six registry-reported phase 2 analyses use a PP population.
Binary endpointThe phase 3 endpoint is the percentage of baseline-seronegative participants with virologically confirmed COVID-19 disease.
Endpoint timingPhase 2 uses baseline through Week 6; phase 3 uses Day 42 through Day 126.
MultiplicitySix formal primary analyses are reported across the two phase 2 immune-response endpoints.
Safety comparisonSerious-adverse-event counts are reported separately by phase and arm.

22. Related Tutorials

Learn more about the methods used in this trial:

23. Related Calculators

24. Sources

Continue through Clinical Biostats

Explore statistical tutorials and calculators related to randomized clinical-trial design, confidence intervals, endpoint analysis, and immunogenicity comparisons.

25. Record Summary

INNOVATE illustrates how statistical interpretation changes with endpoint type. Its phase 2 primary analyses use per-protocol populations and compare immune-response changes using median differences for IFN-γ ELISpot and geometric mean fold-rise ratios for neutralizing antibodies. The six registry-reported formal analyses all report two-sided 95% confidence intervals, but no p-values are provided. The phase 3 primary endpoint is a binary clinical disease outcome measured from Day 42 through Day 126 in participants who were SARS-CoV-2 seronegative at baseline, while the ClinicalTrials.gov record does not provide a formal statistical comparison for that endpoint.

The most important statistical lesson is that an immune-response estimate and a clinical disease endpoint answer different questions. A median difference or geometric mean ratio describes a biological measurement; it does not by itself establish a reduction in COVID-19 disease. Likewise, a confidence interval communicates uncertainty around an estimate but does not replace knowledge of the endpoint definition, analysis population, timing, multiplicity structure, and prespecified statistical method.

Clinical Biostats methodology: A trial-results page should distinguish what the registry reports from what statistical theory would ordinarily suggest. Where the ClinicalTrials.gov record does not identify an analysis method, estimate, p-value, or design parameter, this page does not reconstruct it from assumption.