How to calculate Standard Error provided Hazard Ratio and Confidence Interval (Upper limit and lower limit at 95%)?

I am doing meta-analysis using cohort data.

A HR of one article only shown as abstract not published as full text is expressed with P-value but not 95% CI.

HR = 0.79, P=0.022

I know that I should get 'standard error(SE) of beta-coefficient(B)' first to get confidence interval. beta-coefficient would be exp(B)=0.79, so B=-0.2357,

The lower bound of 95% CI of HR would be exp (-0.2357-1.96*(SE)) and upper bound of 95% CI of HR be exp(-0.2357+1.96*(SE).

I want to know using P=0.022 can I calculate SE in Cox regression analysis??

There is a way to get mean and SD from median, minimum and maximum; but I couldn't find a way with IQR instead of minimum and maximum.

Dearest:

I will appreciate your help. I'm doing a metanalysis and the paper reports 95%CI instead SD. Is it possible to calculate SD from 95%CI and mean??

And,

Is the least-square mean the same than mean difference in an intervention study?

Good day. I am looking for formula to calculate SD from CL. Could anybody help to solve this? Thank you.

Higher limit of C.I - lower limit of C.I / 3.92 is the formula I used, my question is that this gives me a standard error of the regular odds ratio as opposed as the Log odds ratio, so should I just calculate the natural log of the standard errors I get through the above formula or should I first convert the limits of the confidence intervals into their natural log and calculate the S.E then?

Hello,

I was wondering if there was a way to calculate interaction p-value by hand using estimates from a published article that does not report the p-value??

For instance, if the HR (95% CI) between smoking and lung cancer in Men is 12.3 (95% CI: 3.8 to 17.5) and Women is 8.7 (95% CI: 2.9 to 13.1)

Then I can back-calculate the SE from the CI and see if the HRs for Men and Women vary more than is due by chance alone?

(note: the example above is completely made up)

I tried performing a meta-analysis of single arm studies (i.e without controls) using openMeta-analyst which allowed me to combine the effect estimate in form of proportions. Different organ transplants with similar endpoint were included from various studies. I was able to obtain

1) the overall estimate of all organs

2) perform sub-group analysis to find the estimate for specific organs, timing of treatment(<7days and >7 days), study design and availability of insurance cover or not

3) Did meta-regression to assess impact of covariates like timing of treatment

My PI wants a direct comparison of the point estimates from the subgroups already meta-analyzed. Is this a good practice and how can I do this without controls? I thought of using one organ say heart as the intervention and liver as control and then including by the number of events/total number of subjects for studies that provided data. For the corresponding control or intervention without values (since this direct comparison was not done in individual studies), I used zero and then corrected with 0.5 automatically which the software handles pretty well. Is this an ideal way to go in order to obtain the RR or OR across different sub-groups?

Please see below a schema of what I did:

Study organ 1 organ 2

A 0/0 6/20

B 0/0 4/9

C 0/0 8/23

D 6/21 0/0

E 34/45 0/0

F 12/50 0/0

ABC don't have information on organ 1 while DEF don't have info on organ 2. I am hoping this set up can help me unravel the difference between organs for a specific outcome measured.

I would appreciate your urgent response.

Dear RG members

I hope you are doing well. 

Do you know any method (rational) to convert a hazard ratio to an odds ratio? 

I appreciate your help. 

Many thanks. 

R

Is there any method to convert median to mean of a data set?