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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.