Statistical Comments on Retrospective Analysis

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Statistical Comments on Retrospective Analysis. Girish Aras, Ph.D. Jonathan Ma, Ph.D. Center for Drug Evaluation and Research, FDA. Data Analysis Plan. Logistic Regression model - PowerPoint PPT Presentation

Transcript of Statistical Comments on Retrospective Analysis

Statistical Comments on Retrospective Analysis

Girish Aras, Ph.D.

Jonathan Ma, Ph.D.

Center for Drug Evaluation and Research, FDA

Data Analysis Plan

• Logistic Regression model

• Dependent variable (Virological Failure) is ‘explained’ with independent variables ( baseline covariates ).

Baseline Covariates• Baseline Log (HIV-1 RNA)• New Drug Covariate• Genotypic Measures

– Genotypic Sensitivity Score– No. of PI, NRTI and NNRTI mutations

• Phenotypic Measures– Overall Sensitivity Score– No. of PI, NRTI and NNRTI drugs with

Phenotypic sensitivity

Relative Risk (Risk Ratio, RR)

• P0 = Probability of virological failure when a covariate is at a given level

• P1 = Probability of virological failure when a covariate is at one unit higher than the previous level

• RR = P1/ P0

Odds ratio

• RR is the quantity of interest but typically not estimable from a retrospective study

• OR (Odds Ratio) = P1/(1-P1) ÷ P0/(1-P0)

• OR can be estimated from a retrospective study, but may not of interest in itself

• When P1 and P0 are small,RR OR

Odds Ratios for Various Relative Risks

0

1

2

3

4

5

6

7

8

9

10

0.08 0.1 0.15 0.15 0.2 0.3 0.23 0.3 0.45 0.3 0.4 0.6 0.38 0.5 0.75

— Relative Risk — Odds RatioP1

P0=0.05

P0=0.1P0=0.15

P0=0.2

P0=0.25

Odd

s R

atio

or

Rel

ativ

e R

isk

Odds Ratios for Various Relative Risks

0

1

2

3

4

5

6

7

8

9

10

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7

P0

Odd

s R

atio

RR=3

RR=2.5RR=2 RR=1.5

Mutation-Drug Resistance Table

• Table 1 in DAP titled ‘mutations associated with resistance to specific antiretroviral drugs’ is largely based on in vitro data and/or exploratory subgroup analyses

• A general consensus is yet to emerge on this table.

Mutation-Drug Resistance Table

• Most of the studies were available to the resistance collaborative group before the DAP was developed

0 1 2 3 4

Odds Ratio

(E)Stanford (C)

(E)CPCRA GART (C)

(E)VIRADAPT Genotypic (C)

(E)VIRADAPT Control (C)

(E)CNAA2003,CNAB3001-2,CNAB3009 (C)

(E)CNAA2007 (C)

(E)ACTG372 (C)

(E)ACTG364 (C)

.

95% Confidence Interval for Odds Ratio for Overall Genotypic Sensitivity Score:

Model C (Univariate) and E (Multivariate)

1 3 5 7

Odds Ratio

(F)

Stanford (D)

(F)

CPCRA GART (D)

(F)

VIRADAPT Genotypic (D)

(F)

VIRADAPT Control (D)

(F)

CNAA2007 (D)

(F)

ACTG372 (D)

(F)

ACTG333 (D)

.95% confidence interval for Odds ratio for Number of

PI Mutations: Model D and F

0.0 0.5 1.0 1.5

Odds.Ratio

(G)

CNAA2003,CNAB3001-2,3009 (C)

(G)

CNAA2007 (C)

(G)

Mega-HAART (C)

.

95% Confidence Interval for Overall Phenotypic Score:

Model C (Univariate) and Model G (Multivariate)

Conclusions

• These exploratory analyses suggest predictive link between virological failure and genotypic and phenotypic measures at the baseline

• They will provide insight in generating specific hypotheses to be tested in future confirmatory studies