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10 votes
3 answers
946 views

How to know the sample arithmetic mean and standard deviation if I know the mean and the deviation of the logarithm of the observations

For a sample, I know the sample size, and the mean and standard deviation of the values ​​transformed using the natural logarithm. I need to calculate the mean and standard deviation of the original ...
Luly Ch's user avatar
  • 103
1 vote
1 answer
542 views

Getting (geometric) 95% CI from geometric mean and geometric SD (after log-transformation)

I am conducting a meta-analysis with a skewed distribution. To address this issue, I transformed the "marker" data into a log-scale, "ln marker". I obtained the (geometric) mean ...
Sooyeun Choi's user avatar
0 votes
0 answers
21 views

Is it safe to calculate confidence interval on normally distributed ln(x) and convert the confidence interval to x by calculating e^x?

Lets say that i have a skewed variable x, that have a non-normal distribution. I want to calculate mean and confidence interval for x but confidence interval assumes normality. So i take natural ...
Ege Can's user avatar
  • 123
1 vote
0 answers
21 views

Random variable with finite logarithmic first moment, infinite logarithmic variance [duplicate]

Could you provide an example of a random variable $X$ such that $|\mathbb{E}(\ln(X))|<\infty$ but $\text{Var}(\ln(X))=\infty$, if such a random variable exists at all? Related: "Random ...
Richard Hardy's user avatar
2 votes
1 answer
738 views

Average of logs or log of average

The primary outcome of a clinical trial is the proportion of individuals with a >2 log10 decrease in viral load at Week 24. Viral load is measured on 3 consecutive days at baseline & again at 3 ...
Megan Moreton's user avatar
2 votes
1 answer
724 views

Log-transforming a mean - what to do with SD?

I am doing a meta-analysis of means. I have gathered means, SD and N from a set of studies. I do not have access to the raw data of the means. After doing an Anderson-Darling test, I found that the ...
Karoline Hansen Skåra's user avatar
1 vote
1 answer
3k views

How to present Confidence Interval for Log-Transformed Means & Mean Difference?

After trying to read on this topic, I still have some clarifications remaining. Context: Comparing between 2 arms (categorical), measuring microbiological plate-counted bacteria concentration (...
ltw's user avatar
  • 11
0 votes
1 answer
33 views

Need some enlightment about how log affects the mean of the data?

So, I have some data regarding the views by videos on youtube. I took the log of the data and compared the mean of both variables. Why did the categories change so much when log was applied (first ...
Victor Rabêllo's user avatar
3 votes
1 answer
2k views

back transformation of log means and log standard deviations

I have a set of values reported as the 'log mean'. I know from elsewhere in the text that it is the natural log that is being referred to. I'm trying to ascertain if there is a way I can derive the ...
francis's user avatar
  • 45
10 votes
2 answers
27k views

log mean vs mean log in statistics

I am running a regression that includes consumption and disposable income. It was suggested that I take mean of the logarithm of my data rather than logarithm of the mean. What is the difference?
Zara 's user avatar
  • 121
5 votes
2 answers
3k views

Mean and SD of daily log returns

Assume a given stock's log returns are normally distributed, its average annual log return = 100% and annual standard deviation (or volatility) = 200%. Given a trading year of 250 days, what are $\mu$ ...
James's user avatar
  • 51
2 votes
2 answers
620 views

How can I calculate variance of a very large random variable?

I'm implementing an algorithm which recieves as input samples from a random variable with an unknown distribution. The random variable is extremely large so my input is logarithmic, and still large (...
selotape's user avatar
  • 131
1 vote
1 answer
235 views

What mean should be used for the variables that are involved in a linear regression model in a log-transformed space?

This has been bothering me for a while. Both $X$ and $Y$ are material properties. They can be described using a linear regression model built in the log-transformed space, i.e., $\log Y=a \log X+b$. ...
kickbone's user avatar
3 votes
1 answer
92 views

Regression and link function

Suppose we have $E (\log (Y)) = a+bx $ vs $\log (E (Y)) = a+bx $. Can $\exp (b) $ in both cases be interpreted as a geometric mean?
rorys's user avatar
  • 31
4 votes
2 answers
8k views

Why (or when) to use the log-mean?

I am looking at a scientific paper in which a single measurement is calculated using a logarithmic mean 'triplicate spots were combined to produce one signal by taking the logarithmic mean of ...
Stephen Henderson's user avatar