reportReg: An Easy Way to Report Regression Analysis

In reportReg: An Easy Way to Report Regression Analysis

Description

Provides an easy way to report the results of regression analysis, including: 1. Proportional hazards regression from function 'coxph' of package 'survival'; 2. Conditional logistic regression from function 'clogit' of package 'survival'; 3. Ordered logistic regression from function 'polr' of package 'MASS'; 4. Binary logistic regression from function 'glm' of package 'stats'; 5. Linear regression from function 'lm' of packages 'stats'; 6. Risk regression model for survival analysis with competing risks from function 'FGR' of package 'riskRegression'; 7. Multilevel model from function 'lme' of package 'nlme'.

Usage

reportReg(fit,expTr)

Arguments

fit	object of regression, including 'survival::coxph', 'survival::clogit', 'MASS::polr', 'glm', 'lm' and 'riskRegression::FGR'
expTr	TRUE or FALSE, should the coefficients be transformed by exponential function, default is TRUE

Value

OR	odds ratio
HR	hazard ratio
Beta	regression coefficient
CI	95 percent confidence interval
P	p value

Note

Please feel free to contact us, if you have any advice and find any bug!

More functions will be included in 'reportReg' package!

Update description:

Version 0.2.0: 1. the model with just intercept can be identified. 2. risk regression model for survival analysis with competing risks was included and supported. 3. the estimated statistic of cox regression is updated from 'OR' to 'HR'. 4. multilevel model was included and supported.

Version 0.3.0: 1. argument 'expTr' was added. 2. the 'clogit' fucntion from 'survival' package was added in the description and argument of 'fit'. 3. the 'coxph' function with 'cluster' was available.

Author(s)

Zhicheng Du<[e-mail]>, Yuantao Hao<[e-mail]>

Examples

x=rnorm(10)
y=rnorm(10)
fit=lm(y~x)
reportReg(fit)

Example output

    Beta                  CI     P
x -0.686 ( -1.281 , -0.092 ) 0.053

reportReg documentation built on May 1, 2019, 6:36 p.m.