help biassurv (Quantitative Bais Aanlysis in Epidemiology)

Title

biassurv -- performs bias analysis for survival analysis

Syntax

biassurv
indepvar
[if] [in]
[, options]

Options
lostp1(#) Number of person who were lost follow-up among the exposed

lostp0(#) Number of person who were lost follow-up among the unexposed

avet1(#) Follow-up time for the lostp1 is in relative to the average follow-up time among the observed-exposed populaton

avet0(#) Follow-up time for the lostp0 is in relative to the average follow-up time among the observed-unexposed populaton

ftime1(#) Assumed follow-up time for lostp1

ftime0(#) Assumed follow-up time for lostp0

aver1(#) Incidence Rate for the lostp1 is in relative to the average incidence rate among the observed-exposed populaton

aver0(#) Incidence rate for the lostp0 is in relative to the average incidence rate among the observed-unexposed populaton

rate1(#) Assumed incidence rate for lostp1

rate0(#) Assumed incidence rate for lostp0

case1(#) Number of cases among lostp1

case0(#) Number of cases among lostp0

biassurvi
case1num persons1num persontime1 case0num persons0num persontime0
[if] [in]
[, options]

Options
lostp1(#) Number of person who were lost follow-up among the exposed

lostp0(#) Number of person who were lost follow-up among the unexposed

avet1(#) Follow-up time for the lostp1 is in relative to the average follow-up time among the observed-exposed populaton

avet0(#) Follow-up time for the lostp0 is in relative to the average follow-up time among the observed-unexposed populaton

ftime1(#) Assumed follow-up time for lostp1

ftime0(#) Assumed follow-up time for lostp0

aver1(#) Incidence Rate for the lostp1 is in relative to the average incidence rate among the observed-exposed populaton

aver0(#) Incidence rate for the lostp0 is in relative to the average incidence rate among the observed-unexposed populaton

rate1(#) Assumed incidence rate for lostp1

rate0(#) Assumed incidence rate for lostp0

case1(#) Number of cases among lostp1

case0(#) Number of cases among lostp0

Description

Command biassurv, which is one of the command among the package biasepi, performs bias analysis for survival analysis.

Combining the existing Stata commands for probalistic distributions, biascon is able to perform probalistic bias analysis

Options

lostp1 Number of person who were lost follow-up among the exposed.

lostp1 Number of person who were lost follow-up among the unexposed.

avet1 Follow-up time for the lostp1 is in relative to the average follow-up time among the observed-exposed populaton.
If avet1=1, it means the follow-up for lostp1 on average equals to the average follow-up time among the observed-exposed populaton.

avet0 Follow-up time for the lostp0 is in relative to the average follow-up time among the observed-exposed populaton.
If avet0=1, it means the follow-up for lostp1 on average equals to the average follow-up time among the observed-unexposed populaton.

ftime1 Assumed follow-up time for lostp1, which will overwrite avet1.

ftime0 Assumed follow-up time for lostp0, which will overwrite avet0.

aver1 Incidence Rate for the lostp1 is in relative to the average incidence rate among the observed-exposed populaton.
If aver1=1, it means the incidence rate for lostp1 equals to the incidence rate among the observed-exposed populaton.

aver0 Incidence Rate for the lostp0 is in relative to the average incidence rate among the observed-unexposed populaton.
If aver0=1, it means the incidence rate for lostp1 equals to the incidence rate among the observed-exposed populaton.

rate1 Assumed incidence rate for lostp1, which will overwrite aver1.

rate0 Assumed incidence rate for lostp0, which will overwrite aver0.

case1 Number of cases among lostp1

case0 Number of cases among lostp0

Examples

More examples

click on her

References

Lash, Timothy L., Fox, Matthew P., Fink, Aliza K. 2009.

Applying Quantitative Bias Analysis to Epidemiologic Data

The online resource for the reference textbook.

Author

Chunsen Wu, the University of Southern Denmark; Odense University Hospital, Denmark

cwu@health.sdu.dk

chunsen.wu@rsyd.dk

Also see

Help: biasepi, biasselect, biascon, biasmis, biassurv, biastab2

Stored results

biassurv and biassurvi store the following in r():

Matrices

r(O) Results among the observed population

r(C) Results among the whole population combining both the observed population and the lost follow-up

r(L) Results among the lost follow-up