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Early Alzheimer's Disease Phase 3 MMRM Analysis NCT02484547

EMERGE: Complete Statistical Analysis of Aducanumab in Early Alzheimer's Disease

A detailed statistical review of the randomized phase 3 EMERGE trial evaluating aducanumab (BIIB037) versus placebo in early Alzheimer's disease, with emphasis on the CDR-SB primary endpoint, longitudinal MMRM methodology, secondary cognitive and functional outcomes, and interpretation of effect estimates, confidence intervals, and p-values.

EMERGE  ·  Phase 3  ·  Randomized, parallel-group, quadruple-masked  ·  Enrollment 1,643
Scope of this record

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

EMERGE was a randomized, parallel-group, quadruple-masked phase 3 study of aducanumab (BIIB037) in early Alzheimer's disease. The registry reports 1,643 participants, two study arms, a treatment purpose, and a primary endpoint based on change from baseline in the Clinical Dementia Rating Scale–Sum of Boxes (CDR-SB) at Week 78.

1,643
Enrollment
Phase 3 study
2
Study arms
Aducanumab and placebo
78
Primary time point
Week 78
MMRM
Primary method
Longitudinal analysis
FeatureEMERGE
Trial nameEMERGE
ClinicalTrials.gov identifierNCT02484547
PhasePhase 3
ConditionAlzheimer's disease
Study populationEarly Alzheimer's disease
AllocationRandomized
Design modelParallel
MaskingQuadruple
Primary purposeTreatment
Enrollment1,643
Lead sponsorBiogen
Sponsor typeIndustry
StatusTerminated

2. Clinical Question

The central statistical question was whether aducanumab produced a different change from baseline in CDR-SB score at Week 78 compared with placebo in participants with early Alzheimer's disease. The registry characterizes the hypothesis type as superiority.

Population

Participants enrolled in a phase 3 study of aducanumab for early Alzheimer's disease.

Intervention

Aducanumab (BIIB037).

Comparator

Placebo.

Primary question

Does aducanumab differ from placebo in change from baseline in CDR-SB at Week 78?

3. Trial Design

01
Randomize 1,643 enrolled
02
Parallel groups Aducanumab or placebo
03
Quadruple masking Masked study design
04
Repeated measures Longitudinal outcomes
05
Week 78 Primary endpoint time point
Allocation
Randomized allocation in a parallel-group design.
Masking
Quadruple masking.
Purpose
Treatment.
Statistical framework
Longitudinal mixed-model analysis using MMRM for the posted efficacy outcomes.
Study status matters. The registry lists EMERGE as terminated. It states that the study was halted prematurely based on a prespecified futility analysis and not based on safety concerns. Participants who discontinued because of study termination were included in the "Reason not Specified" category in participant flow tables.
2015-09-15

Study start

The registry lists September 15, 2015 as the study start date.

2019-08-05

Primary completion

The registry lists August 5, 2019 as the primary completion date.

Terminated

Premature study halt

The registry states that the study was halted following a prespecified futility analysis rather than for safety concerns.

4. Endpoints

Primary Endpoint

EndpointTime frameRegistry definition
Change From Baseline in Clinical Dementia Rating Scale - Sum of Boxes (CDR-SB) Score at Week 78 Baseline, Week 78 CDR-SB integrates assessments from 3 domains of cognition and 3 domains of function. Scores for the 6 domains are summed to produce a value ranging from 0 to 18, with higher scores indicating greater disease severity. A positive change from baseline indicates clinical decline.

The registry describes CDR-SB as incorporating memory, orientation, judgment/problem-solving, community affairs, home/hobbies, and personal care. Severity anchors range from none = 0, questionable = 0.5, mild = 1, moderate = 2, and severe = 3, with the personal care domain omitting the 0.5 score. The summed score can change in increments of 0.5 or greater.

Secondary Endpoints With Posted Analyses

EndpointTime frameOutcome type
Change From Baseline in Mini Mental State Examination (MMSE) Score at Week 78Baseline, Week 78Continuous score
Change From Baseline in Alzheimer's Disease Assessment Scale-Cognitive Subscale (13 Items) (ADAS-Cog 13) at Week 78Baseline, Week 78Continuous score
Change From Baseline in Alzheimer's Disease Cooperative Study-Activities of Daily Living Inventory (Mild Cognitive Impairment Version) (ADCS-ADL-MCI) Score at Week 78Baseline, Week 78Continuous score

5. Statistical Methodology

Intention-to-treat analysis

The registry defines the ITT population as all randomized participants who received at least one dose of study treatment, either aducanumab or placebo. The number of participants analyzed refers to the number analyzed for the particular outcome measure.

This definition is important because the efficacy comparisons remain anchored to the randomized treatment groups. Randomization establishes the treatment comparison before outcome information is observed, while the requirement for at least one dose defines the registry's stated ITT analysis population.

Mixed model for repeated measures

The primary CDR-SB analyses used a mixed model for repeated measures (MMRM). The dependent variable was change from baseline in CDR-SB. The model incorporated treatment group, categorical visit, treatment-by-visit interaction, baseline CDR-SB, and baseline CDR-SB-by-visit interaction. Additional covariates included baseline MMSE, Alzheimer's disease symptomatic medication use at baseline, region, and laboratory ApoE status in the low-dose analysis. The high-dose analysis also included treatment group, categorical visit, treatment-by-visit interaction, baseline CDR-SB, and baseline CDR-SB-by-visit interaction.

The same general longitudinal framework was used for the MMSE, ADAS-Cog 13, and ADCS-ADL-MCI analyses, with the corresponding baseline outcome and baseline-by-visit interaction included in the model.

Conceptual MMRM structure
Change from baseline = treatment + visit + treatment × visit + baseline outcome + baseline outcome × visit + covariates + repeated-measures error

The important feature is that the model evaluates the trajectory of change over repeated visits rather than reducing the entire longitudinal record to a single unadjusted comparison.

Effect measure

The registry reports the treatment effect as a difference. For the primary CDR-SB endpoint, the reported estimate is the difference between the adjusted mean change from baseline for an aducanumab group and the placebo group at the specified time point.

Two-sided confidence intervals

All posted statistical analyses use 95% two-sided confidence intervals. The confidence interval describes uncertainty around the estimated treatment difference under the fitted model and sampling framework.

Superiority testing

The registry identifies the hypothesis type as superiority. The statistical question is therefore whether the estimated treatment difference is distinguishable from the null value of no difference, rather than whether aducanumab satisfies a prespecified non-inferiority margin.

6. Results: Primary Endpoint

CDR-SB — Low-Dose Aducanumab vs Placebo

Difference in adjusted mean change at Week 78

-0.26

95% CI: -0.569 to 0.041   ·   P = 0.0901

MMRM analysis of change from baseline in CDR-SB.

ComparisonEstimate95% CIP-valueMethod
Placebo vs BIIB037 Low Dose -0.26 -0.569 to 0.041 0.0901 MMRM
Placebo vs BIIB037 High Dose -0.39 -0.694 to -0.086 0.0120 MMRM
Clinical Biostats interpretation

The low-dose estimate of -0.26 indicates that the adjusted mean change in CDR-SB was 0.26 score units lower with BIIB037 low dose than with placebo at Week 78 under the posted MMRM. Because a positive CDR-SB change indicates clinical decline, a negative between-group difference points toward less decline in the aducanumab group relative to placebo.

The estimate is not a statement that every participant experienced 0.26 fewer CDR-SB points of decline. It is a model-based difference in adjusted mean change between randomized groups at the specified time point.

The 95% confidence interval ranges from -0.569 to 0.041. Because the interval includes zero, the data are compatible with both a negative treatment difference and a small positive difference under the model. The interval therefore communicates more information about precision than the point estimate alone.

The P-value of 0.0901 is a measure of compatibility with the null hypothesis under the specified statistical model; it is not a measure of effect size, clinical importance, or the probability that the treatment works. The interpretation also depends on the prespecified analysis framework, repeated-measures model, analysis population, and the fact that the study was stopped following a futility analysis.

CDR-SB — High-Dose Aducanumab vs Placebo

Difference in adjusted mean change at Week 78

-0.39

95% CI: -0.694 to -0.086   ·   P = 0.0120

MMRM analysis of change from baseline in CDR-SB.

Clinical Biostats interpretation

The high-dose estimate of -0.39 indicates a lower adjusted mean change in CDR-SB with BIIB037 high dose than with placebo at Week 78. Because higher CDR-SB scores indicate greater disease severity and a positive change indicates clinical decline, the negative estimate corresponds to less estimated clinical decline relative to placebo.

The 95% confidence interval, -0.694 to -0.086, lies below zero. Within the model and analysis framework reported by the registry, the interval therefore supports a negative treatment difference rather than no difference.

The P-value of 0.0120 quantifies the statistical evidence against the null value under the specified model. It does not measure the magnitude of the treatment effect. The magnitude is described by the estimated difference and its confidence interval.

As with the low-dose analysis, this is an adjusted longitudinal estimate rather than an individual-level prediction. Interpretation should also account for the study's premature termination following a prespecified futility analysis and the distinction between statistical evidence and clinical importance.

7. Secondary Endpoint Results

MMSE

ComparisonEstimate95% CIP-value
Placebo vs BIIB037 Low Dose-0.1-0.65 to 0.480.7578
Placebo vs BIIB037 High Dose0.60.00 to 1.130.0493

Both analyses used MMRM for change from baseline in MMSE at Week 78. The low-dose estimate was -0.1, with a 95% CI from -0.65 to 0.48 and P = 0.7578. The high-dose estimate was 0.6, with a 95% CI from 0.00 to 1.13 and P = 0.0493.

These estimates illustrate why the direction of an effect must be interpreted in the context of the scale. Unlike CDR-SB, where higher scores indicate greater disease severity, the ClinicalTrials.gov record does not provide a directional interpretation for the MMSE score itself. The safest statistical reading is therefore to focus on the reported adjusted mean differences, their confidence intervals, and their p-values rather than assigning a clinical direction beyond what the registry explicitly states.

ADAS-Cog 13

ComparisonEstimate95% CIP-value
Placebo vs BIIB037 Low Dose-0.701-1.7649 to 0.36270.1962
Placebo vs BIIB037 High Dose-1.400-2.4596 to -0.33960.0097

The low-dose comparison produced an estimated difference of -0.701, with a 95% CI of -1.7649 to 0.3627 and P = 0.1962. The high-dose comparison produced an estimated difference of -1.400, with a 95% CI of -2.4596 to -0.3396 and P = 0.0097.

The important statistical distinction is the location and width of the confidence intervals. The low-dose interval crosses zero, whereas the high-dose interval is entirely below zero. That difference describes the uncertainty in the two estimates; it should not be converted into a claim that one dose necessarily has a quantitatively larger clinical effect without a formal comparison of dose effects.

ADCS-ADL-MCI

ComparisonEstimate95% CIP-value
Placebo vs BIIB037 Low Dose0.7-0.27 to 1.730.1515
Placebo vs BIIB037 High Dose1.70.75 to 2.740.0006

The low-dose comparison produced an estimated difference of 0.7, with a 95% CI of -0.27 to 1.73 and P = 0.1515. The high-dose comparison produced an estimated difference of 1.7, with a 95% CI of 0.75 to 2.74 and P = 0.0006.

Endpoint interpretation matters. CDR-SB, MMSE, ADAS-Cog 13, and ADCS-ADL-MCI are different clinical scales. A numerical difference of 1.0 on one scale is not inherently comparable with a numerical difference of 1.0 on another scale. Statistical interpretation should therefore retain each endpoint's original scale and definition.

8. Results Summary

EndpointLow Dose vs PlaceboHigh Dose vs Placebo
CDR-SB change from baseline at Week 78-0.26 (95% CI -0.569 to 0.041); P = 0.0901-0.39 (95% CI -0.694 to -0.086); P = 0.0120
MMSE change from baseline at Week 78-0.1 (95% CI -0.65 to 0.48); P = 0.75780.6 (95% CI 0.00 to 1.13); P = 0.0493
ADAS-Cog 13 change from baseline at Week 78-0.701 (95% CI -1.7649 to 0.3627); P = 0.1962-1.400 (95% CI -2.4596 to -0.3396); P = 0.0097
ADCS-ADL-MCI change from baseline at Week 780.7 (95% CI -0.27 to 1.73); P = 0.15151.7 (95% CI 0.75 to 2.74); P = 0.0006

The posted results show that the estimated differences are not uniform across dose levels or outcome measures. For the primary CDR-SB endpoint, the low-dose estimate was -0.26 and the high-dose estimate was -0.39. The corresponding secondary outcomes also vary in magnitude and direction across scales. This is precisely why each endpoint should be interpreted on its own statistical scale rather than combining all p-values into a single summary measure.

9. Statistical Methods Explained

Why was an MMRM used?

The outcomes in EMERGE were measured repeatedly over time, while the primary endpoint was defined as change from baseline at Week 78. An MMRM is designed for this longitudinal structure because it models repeated outcome information rather than treating observations at different visits as unrelated single measurements.

The registry's model included categorical visit and a treatment-by-visit interaction. This allows the estimated treatment difference to vary across visits rather than imposing a single constant treatment difference across the entire follow-up period.

What does a CDR-SB difference of -0.39 mean?

For the high-dose comparison, the MMRM estimated a difference of -0.39 in adjusted mean change from baseline at Week 78 relative to placebo. Because the registry states that a positive CDR-SB change indicates clinical decline, the negative value corresponds to less estimated decline in the high-dose group relative to placebo.

It does not mean that every individual participant had 0.39 fewer points of decline. It is a group-level adjusted mean difference generated by the longitudinal model.

Why is the confidence interval important?

A point estimate is only one description of the treatment comparison. The 95% confidence interval indicates the statistical precision of that estimate under the specified model. For the high-dose CDR-SB analysis, the interval from -0.694 to -0.086 is entirely below zero. For the low-dose analysis, the interval from -0.569 to 0.041 crosses zero.

The width of the interval also matters. Wider intervals indicate greater uncertainty around the estimated effect, while narrower intervals indicate greater precision.

What does the p-value tell us?

A p-value evaluates how compatible the observed data are with a specified null hypothesis under the statistical model. It does not quantify the size of the effect, the clinical importance of the effect, or the probability that the treatment hypothesis is true.

For example, the high-dose CDR-SB result has P = 0.0120, while the estimated difference is -0.39. The p-value and the effect estimate answer different questions and should be reported together rather than substituted for one another.

Why include baseline-by-visit interactions?

The registry describes baseline outcome-by-visit interaction terms in the MMRM. This allows the association between a participant's baseline score and the modeled outcome to vary across visits. In longitudinal clinical trials, this can provide a more flexible adjustment for baseline differences in the outcome trajectory than assuming a single baseline relationship at every visit.

What does ITT mean in this trial?

The registry defines ITT as all randomized participants who received at least one dose of aducanumab or placebo. The principle preserves the randomized treatment comparison within the registry's stated efficacy analysis population. It does not mean that every participant necessarily contributed the same number of repeated observations to the MMRM.

What does the premature termination mean statistically?

The registry states that the study was halted prematurely after a prespecified futility analysis and that the decision was not based on safety concerns. Early stopping can affect the amount of information accumulated for the planned analysis and therefore belongs in the interpretation of the estimated effects and their uncertainty. It also means that the observed dataset was generated under a study that did not continue according to its originally intended full course.

10. Safety

The registry reports serious adverse events by study period and arm. These counts should be kept separate from the efficacy estimates because the denominator and period can differ across safety summaries.

Study arm / periodSerious adverse eventsAffected / at risk
Placebo — PC PeriodSerious adverse events81 / 547
BIIB037 Low Dose — PC PeriodSerious adverse events72 / 544
BIIB037 High Dose — PC PeriodSerious adverse events73 / 547
BIIB037 Late Start: Low Dose — LTE PeriodSerious adverse events15 / 131
BIIB037 Late Start: High Dose — LTE PeriodSerious adverse events9 / 132
BIIB037 Early Start: Low Dose — LTE PeriodSerious adverse events25 / 251
BIIB037 Early Start: High Dose — LTE PeriodSerious adverse events25 / 257

The post-completion-period safety groups should not be directly pooled with the primary-completion-period groups without accounting for their different periods and denominators. A count such as 25 serious adverse events among 251 participants is a descriptive safety summary for that specified group and period, not an efficacy measure.

11. Limitations

12. Why This Trial Matters Statistically

EMERGE provides a useful example of longitudinal clinical-trial analysis because the principal efficacy endpoint is a continuous clinical scale measured repeatedly over time rather than a binary response endpoint or a time-to-event endpoint. That changes the statistical problem substantially.

ConceptHow it appears in EMERGE
RandomizationParticipants were randomized in a parallel-group phase 3 design.
Quadruple maskingThe registry identifies the study as quadruple-masked.
Intention-to-treat analysisThe posted analyses define ITT as randomized participants who received at least one dose of study treatment.
Repeated measuresClinical outcomes were evaluated longitudinally through an MMRM framework.
MMRMThe primary and posted secondary analyses used mixed models for repeated measures.
Continuous endpointsCDR-SB, MMSE, ADAS-Cog 13, and ADCS-ADL-MCI were analyzed as continuous scores.
Confidence intervalsAll posted estimates were accompanied by 95% two-sided confidence intervals.
P-valuesEach posted comparison includes a p-value that quantifies statistical evidence under the specified model.
Futility analysisThe registry states that the study was halted prematurely following a prespecified futility analysis.
Safety by periodSerious adverse events are reported separately for primary-completion and later-term periods.

13. Interpreting the Primary Effect Estimates

Effect size

The CDR-SB high-dose estimate of -0.39 is the most direct description of the magnitude of the posted high-dose treatment difference at Week 78. It is expressed in CDR-SB score units and represents an adjusted mean difference under the MMRM.

Direction

The registry explicitly states that a positive change from baseline in CDR-SB indicates clinical decline. Consequently, a negative treatment difference indicates less modeled change toward greater disease severity relative to placebo.

Precision

The 95% CI of -0.694 to -0.086 indicates uncertainty around the high-dose estimate. The interval is relatively narrow compared with the scale of possible CDR-SB values, but it still spans a range of plausible treatment differences rather than identifying one exact effect.

Statistical evidence

The high-dose CDR-SB P-value of 0.0120 indicates statistical evidence against a null difference of zero under the posted MMRM. The p-value should not be interpreted as the probability that the null hypothesis is true or as a measure of the size of the effect.

Low-dose contrast

The low-dose estimate was -0.26, with a 95% CI of -0.569 to 0.041 and P = 0.0901. The difference between this result and the high-dose result illustrates that treatment-level estimates should be examined separately rather than assuming a monotonic pattern from the numerical values alone.

14. Understanding the Secondary Results

The secondary results demonstrate an important principle in clinical biostatistics: different clinical instruments can provide different statistical signals because they measure different domains and have different scales.

MMSE

The high-dose comparison was 0.6 with a 95% CI of 0.00 to 1.13 and P = 0.0493, while the low-dose comparison was -0.1 with a 95% CI of -0.65 to 0.48 and P = 0.7578.

ADAS-Cog 13

The high-dose estimate was -1.400 with a 95% CI of -2.4596 to -0.3396 and P = 0.0097; the low-dose estimate was -0.701 with a 95% CI of -1.7649 to 0.3627 and P = 0.1962.

ADCS-ADL-MCI

The high-dose estimate was 1.7 with a 95% CI of 0.75 to 2.74 and P = 0.0006; the low-dose estimate was 0.7 with a 95% CI of -0.27 to 1.73 and P = 0.1515.

Statistical lesson

A collection of endpoint-specific estimates should not be collapsed into a single numerical "trial effect." Each outcome has its own scale, definition, uncertainty, and clinical interpretation.

15. Planned vs Observed Trial Interpretation

The registered primary endpoint was change from baseline in CDR-SB at Week 78, and the posted analyses use MMRM to estimate treatment differences at that time point. The registry also identifies the hypothesis as superiority.

At the same time, the registry states that the study was terminated after a prespecified futility analysis. That fact is important because trial stopping is part of the data-generating process. A statistical result should not be interpreted as though the trial necessarily continued unchanged to its originally intended conclusion.

Futility is not the same as a safety stop. The registry explicitly states that the study was halted based on a prespecified futility analysis and not based on safety concerns. The distinction matters because the statistical and operational implications of a futility decision differ from those of stopping because of adverse safety findings.

16. Sources

Continue through the Clinical Biostats knowledge graph

Explore the statistical concepts represented in EMERGE, from randomized trial design and confidence intervals to longitudinal MMRM analysis and interpretation of p-values.

17. Related Tutorials

Learn more about the methods used in this trial:

18. Related Calculators

19. Record Summary

EMERGE provides a detailed example of longitudinal clinical-trial analysis in which continuous clinical outcomes were repeatedly assessed and analyzed using MMRM. The primary endpoint was change from baseline in CDR-SB at Week 78, with posted adjusted mean differences of -0.26 for BIIB037 low dose versus placebo and -0.39 for BIIB037 high dose versus placebo. The corresponding 95% confidence intervals and p-values show materially different levels of statistical evidence between the two comparisons.

The secondary MMSE, ADAS-Cog 13, and ADCS-ADL-MCI analyses further demonstrate why clinical-trial interpretation should preserve endpoint definitions and scales. Across these measures, the registry reports distinct effect estimates, confidence intervals, and p-values for the low- and high-dose comparisons.

The most important statistical context is that the study was terminated after a prespecified futility analysis and that the registry states the decision was not based on safety concerns. Consequently, the numerical results are best understood together with the randomized design, ITT definition, longitudinal MMRM framework, repeated-measures structure, and early study termination.

Clinical Biostats methodology: The statistical interpretation of a clinical trial is strongest when the treatment estimate, confidence interval, p-value, endpoint scale, analysis population, model specification, and study conduct are considered together rather than treating any single number as the complete result.