Statistical Reviewer’s Guide (SRG)

Study ID: ONC-201
Submission Type: NDA
Indication: Metastatic Non-Small Cell Lung Cancer (NSCLC)
Version / Date: v1.0 / 15-Mar-2026


1. Study Overview

Item

Description

Study Title

A Phase II, Randomized, Double-blind Study of Drug X versus Placebo in Patients with Metastatic NSCLC

Phase

Phase II

Study Design

Randomized, double-blind, placebo-controlled, parallel-group

Analysis Objective

To evaluate the efficacy and safety of Drug X

Analysis Type

Confirmatory (primary), Exploratory (secondary)


2. Analysis Data Overview (ADaM)

ADaM Dataset

Description

Granularity (One record per…)

Key Variables

ADSL

Subject-level analysis dataset

Subject

TRT01A, ITTFL, SAFFL, AGE, SEX

ADAE

Adverse events analysis dataset

AE per subject

AETERM, AESEV, AESER, TRT01A

ADLB

Laboratory analysis dataset

Test per visit per subject

PARAMCD, AVAL, BASE, CHG, AVISIT

ADTTE

Time-to-event dataset

Subject

CNSR, AVAL, PARAMCD


3. Analysis Populations

Population Name

Flag Variable

Definition

Intent-to-Treat (ITT)

ITTFL = 'Y'

All randomized subjects

Safety

SAFFL = 'Y'

Subjects who received ≥1 dose of study treatment

Per-Protocol (PP)

PPFL = 'Y'

ITT subjects without major protocol deviations


4. Endpoint Definitions and Derivations

4.1 Primary Endpoint

Item

Description

Endpoint Name

Progression-Free Survival (PFS)

Endpoint Description

Time from randomization to disease progression or death

ADaM Dataset(s)

ADTTE

ADaM Variable(s)

AVAL (time), CNSR

Baseline Definition

Date of randomization

Derived Variable

AVAL = (event date − randomization date + 1)

Time Point

Through data cutoff date


4.2 Key Secondary Endpoint – Objective Response Rate (ORR)

Item

Description

Endpoint Name

Objective Response Rate

ADaM Dataset(s)

ADRESP

ADaM Variable(s)

AVALC (response), ANL01FL

Derivation Summary

Best overall response derived from tumor assessments


5. Handling of Missing Data

Analysis

Missing Data Approach

Notes

PFS

Censoring

Subjects without event censored at last adequate assessment

ORR

Non-responder imputation

Subjects without post-baseline assessment treated as non-responders


6. Statistical Methods Summary

Endpoint

Method

Covariates

Multiplicity Handling

PFS

Stratified Cox proportional hazards model

Treatment, baseline disease stage

Hierarchical testing

ORR

Cochran-Mantel-Haenszel test

Stratification factors

Controlled within hierarchy

Detailed statistical specifications are provided in the SAP.


7. Traceability: ADaM → TLF

TLF ID

Description

ADaM Dataset(s)

Key Variables

Table 14.2.1

Summary of PFS

ADTTE

AVAL, CNSR, TRT01A

Figure 14.2.1

Kaplan–Meier Curve for PFS

ADTTE

AVAL, CNSR, TRT01A

Table 14.3.1

Summary of ORR

ADRESP

AVALC, TRT01A


8. Sensitivity and Supportive Analyses

Analysis

Difference from Primary

Rationale

Sensitivity PFS

Alternative censoring rules

Assess robustness to censoring assumptions

Supportive ORR

Excluding non-evaluable subjects

Sensitivity to response definition


9. Known Data Issues and Statistical Limitations

Issue ID

Description

Potential Impact

Mitigation

SRG-01

Missing tumor assessments at later visits

Potential bias in ORR

Conservative non-responder imputation

SRG-02

Early study discontinuations

Reduced power for PFS

Sensitivity analyses performed


10. Appendices

Appendix A. Key Variable Mapping

Endpoint

ADaM Variable

Source Dataset

Notes

PFS

AVAL

ADTTE

Time-to-event variable

ORR

AVALC

ADRESP

Best overall response


Appendix B. Abbreviations

Abbreviation

Definition

PFS

Progression-Free Survival

ORR

Objective Response Rate

ITT

Intent-to-Treat

AE

Adverse Event