100 lines
No EOL
3.1 KiB
Text
100 lines
No EOL
3.1 KiB
Text
# clinical unpaired stats: DONE
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# chi sq or similar test for binary outcome vars : DONE
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# regression analysis
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# redo obesity analysis without asthmatics: although you can account for this in reg
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but just do it for completion!: DONE
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=================================================================================
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death ~ obesity + il12p70_npa1
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Call:
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glm(formula = p_form, family = binomial, data = my_reg_data_med)
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Deviance Residuals:
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Min 1Q Median 3Q Max
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-1.1117 -0.5249 -0.4427 -0.4302 2.2027
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Coefficients:
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Estimate Std. Error z value Pr(>|z|)
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(Intercept) -2.36991 0.41816 -5.668 1.45e-08 ***
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obesity 0.18899 0.63841 0.296 0.7672
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il12p70_npa1 0.12389 0.04843 2.558 0.0105 *
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---
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
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(Dispersion parameter for binomial family taken to be 1)
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Null deviance: 89.632 on 104 degrees of freedom
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Residual deviance: 82.487 on 102 degrees of freedom
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(28 observations deleted due to missingness)
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AIC: 88.487
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Number of Fisher Scoring iterations: 4
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##############################
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=================================================================================
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death ~ il12p70_npa1
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Call:
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glm(formula = p_form, family = binomial, data = my_reg_data_med)
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Deviance Residuals:
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Min 1Q Median 3Q Max
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-1.0765 -0.4935 -0.4376 -0.4376 2.1880
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Coefficients:
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Estimate Std. Error z value Pr(>|z|)
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(Intercept) -2.33522 0.39856 -5.859 4.65e-09 ***
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il12p70_npa1 0.12699 0.04741 2.679 0.00739 **
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---
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
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(Dispersion parameter for binomial family taken to be 1)
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Null deviance: 89.632 on 104 degrees of freedom
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Residual deviance: 82.574 on 103 degrees of freedom
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(28 observations deleted due to missingness)
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AIC: 86.574
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Number of Fisher Scoring iterations: 4
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Waiting for profiling to be done...
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OR 2.5 % 97.5 %
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(Intercept) 0.09678937 0.04094537 0.198725
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il12p70_npa1 1.13540367 1.03471817 1.249931
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[1] 105
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=================================================================================
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death ~ il1_npa1
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Call:
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glm(formula = p_form, family = binomial, data = my_reg_data_med)
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Deviance Residuals:
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Min 1Q Median 3Q Max
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-1.3883 -0.4893 -0.4793 -0.4792 2.1073
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Coefficients:
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Estimate Std. Error z value Pr(>|z|)
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(Intercept) -2.1068569 0.3347016 -6.295 3.08e-10 ***
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il1_npa1 0.0010360 0.0003762 2.754 0.00588 **
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---
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
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(Dispersion parameter for binomial family taken to be 1)
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Null deviance: 89.632 on 104 degrees of freedom
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Residual deviance: 82.215 on 103 degrees of freedom
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(28 observations deleted due to missingness)
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AIC: 86.215
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Number of Fisher Scoring iterations: 4
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Waiting for profiling to be done...
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OR 2.5 % 97.5 %
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(Intercept) 0.1216196 0.05949241 0.2236722
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il1_npa1 1.0010366 1.00030121 1.0018148
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[1] 105
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================================================================================= |