meta user
network profile
| bio | website | |
|---|---|---|
| location | Earth | |
| age | ||
| visits | member for | 2 years |
| seen | Mar 26 at 14:37 | |
| stats | profile views | 58 |
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Feb 17 |
accepted | How to find quantiles for multivariate data using R? |
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Feb 17 |
asked | How to find quantiles for multivariate data using R? |
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Feb 4 |
comment |
How to speed up clustering analysis in R? yes. I was using mclust. |
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Jan 31 |
accepted | Plot of the estimated log hazard ratio in R |
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Jan 29 |
accepted | Can a categorical variable be divided by a numerical variable? |
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Jan 29 |
comment |
Can a categorical variable be divided by a numerical variable? Yes from a mathematical point of view I understand it. But I still can't image. Such as (female = 1)/ 0.3 = 3.3333. What does 3.333 mean for sex variable? |
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Jan 29 |
revised |
Can a categorical variable be divided by a numerical variable? added 136 characters in body |
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Jan 29 |
comment |
Can a categorical variable be divided by a numerical variable? Onestop, thanks for answering my question but 0/1 or no/yes does not change the characteristic of the variable. The variable $r_{si}$ is still a binary "categorical" variable. Am I right? Thus, how can a binary categorical variable be divided by a numerical number? |
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Jan 29 |
asked | Can a categorical variable be divided by a numerical variable? |
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Jan 22 |
asked | Inverse probability of treatment weighted (IPTW) estimator for a binary outcome |
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Jan 21 |
comment |
Using monte carlo integration with bisection method to find a true value in R Hi Elvis, I just email you Austin's papers. many thanks! |
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Jan 21 |
comment |
Using monte carlo integration with bisection method to find a true value in R I also think to use "integrate" but it does not make sense to me when covariates are binomial. I still do not how can binomial variable can use integrate. thanks |
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Jan 21 |
comment |
Using monte carlo integration with bisection method to find a true value in R Hi Elvis, I used your method to check with Austin's result when x1,...,x5 are standard normal distributed with N = 10000, for 1000 simulated datasets. My answer is around -0.1496281, which is far away from 0.858468. However, your method makes more senses to me than Austin's method. Thanks |
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Jan 21 |
comment |
Using monte carlo integration with bisection method to find a true value in R Elvis, many thanks. In Austin PC (2010) paper, he has 5 different simulated scenarios. One of them has 5 covariates and each of covariates is standard normally distributed. He simulated 1000 datasets and each dataset has 10000 subjects. His beta = 0.858468 for gamma = 0.02. I don't know how he got this but I think your answer is based on one dataset and it should be very close to his answer. again many thanks |
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Jan 21 |
revised |
Using monte carlo integration with bisection method to find a true value in R deleted 46 characters in body |
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Jan 21 |
comment |
Using monte carlo integration with bisection method to find a true value in R thank you for your suggestion. |
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Jan 21 |
awarded | Editor |
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Jan 21 |
accepted | Using monte carlo integration with bisection method to find a true value in R |
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Jan 21 |
revised |
Using monte carlo integration with bisection method to find a true value in R deleted 117 characters in body |
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Jan 20 |
asked | Using monte carlo integration with bisection method to find a true value in R |
