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Table 1 Overall p-values and the number of significant microsatellite markers by analysis method

From: Application of the propensity score in a covariate-based linkage analysis of the Collaborative Study on the Genetics of Alcoholism

Method No.

No. cov.

Covariates analyzed

Overall p-valueb

No. markers with p-values:

    

<0.05

<0.01

Single covariate

1

0

none

0.001

16

2

2

1

age_int

0.002

18

3

3

1

sex

0.838

9

1

4

1

maxdrinks

0.002

27

4

5

1

smoker

0.008

19

2

6

1

ttth1

0.055

10

3

Propensity scoresa

7

1

PS1 (age_int, sex)

0.002

22

3

8

1

PS2 (age_int, sex, ttth1)

0.046

12

0

9

1

PS3 (age_int, sex, smoker)

<0.001

27

4

10

1

PS4 (age_int, sex, smoker, maxdrinks)

0.008

21

3

11

1

PS5 (age_int, sex, smoker, maxdrinks, ttth1)

0.329

14

4

Multiple covariates

12

2

age_int, sex

0.025

19

4

13

3

age_int, sex, ttth1

1.000

16

2

14

3

age_int, sex, smoker

0.003

18

4

15

4

age_int, sex, smoker, maxdrinks

0.045

16

4

16

5

age_int, sex, smoker, maxdrinks, ttth1

1.000

9

1

  1. Methods were identified according to the set of covariates analyzed.
  2. a PS were calculated from the covariates listed, and the corresponding regression coefficients are listed as odds ratios (OR) with the standard errors (SE) in Table 2.
  3. bThe overall p-value for the analysis method was calculated as the probability of obtaining the observed sum of the LOD scores across the genome in the 1,000 permuted replicates. Significance thresholds of <0.05 and <0.01 were used.