{smcl} {* 19April2019}{...} {cmd:help biassurv}{right: ({browse "http://medical-statistics.dk/MSDS/epi/bias/bias.html":Quantitative Bais Aanlysis in Epidemiology})} {hline} {title:Title} {p 4 4 2}{hi:biassurv} {hline 2} performs {it:bias analysis} for survival analysis {title:Syntax} {p 4 4 2} {cmd:biassurv} {it:indepvar} {ifin} [{cmd:,} {it:options}] {synoptset 21 tabbed}{...} {synopthdr} {synoptline} {syntab :Options} {synopt :{opt lostp1(#)}}Number of person who were lost follow-up among the exposed{p_end} {synopt :{opt lostp0(#)}}Number of person who were lost follow-up among the unexposed{p_end} {synopt :{opt avet1(#)}}Follow-up time for the {it: lostp1} is in relative to the average follow-up time among the observed-exposed populaton{p_end} {synopt :{opt avet0(#)}}Follow-up time for the {it: lostp0} is in relative to the average follow-up time among the observed-unexposed populaton{p_end} {synopt :{opt ftime1(#)}}Assumed follow-up time for {it: lostp1}{p_end} {synopt :{opt ftime0(#)}}Assumed follow-up time for {it: lostp0}{p_end} {synopt :{opt aver1(#)}}Incidence Rate for the {it: lostp1} is in relative to the average incidence rate among the observed-exposed populaton{p_end} {synopt :{opt aver0(#)}}Incidence rate for the {it: lostp0} is in relative to the average incidence rate among the observed-unexposed populaton{p_end} {synopt :{opt rate1(#)}}Assumed incidence rate for {it: lostp1}{p_end} {synopt :{opt rate0(#)}}Assumed incidence rate for {it: lostp0}{p_end} {synopt :{opt case1(#)}}Number of cases among {it: lostp1}{p_end} {synopt :{opt case0(#)}}Number of cases among {it: lostp0}{p_end} {synoptline} {p 4 4 2} {cmd:biassurvi} {it:case1num persons1num persontime1 case0num persons0num persontime0} {ifin} [{cmd:,} {it:options}] {synoptset 21 tabbed}{...} {synopthdr} {synoptline} {syntab :Options} {synopt :{opt lostp1(#)}}Number of person who were lost follow-up among the exposed{p_end} {synopt :{opt lostp0(#)}}Number of person who were lost follow-up among the unexposed{p_end} {synopt :{opt avet1(#)}}Follow-up time for the {it: lostp1} is in relative to the average follow-up time among the observed-exposed populaton{p_end} {synopt :{opt avet0(#)}}Follow-up time for the {it: lostp0} is in relative to the average follow-up time among the observed-unexposed populaton{p_end} {synopt :{opt ftime1(#)}}Assumed follow-up time for {it: lostp1}{p_end} {synopt :{opt ftime0(#)}}Assumed follow-up time for {it: lostp0}{p_end} {synopt :{opt aver1(#)}}Incidence Rate for the {it: lostp1} is in relative to the average incidence rate among the observed-exposed populaton{p_end} {synopt :{opt aver0(#)}}Incidence rate for the {it: lostp0} is in relative to the average incidence rate among the observed-unexposed populaton{p_end} {synopt :{opt rate1(#)}}Assumed incidence rate for {it: lostp1}{p_end} {synopt :{opt rate0(#)}}Assumed incidence rate for {it: lostp0}{p_end} {synopt :{opt case1(#)}}Number of cases among {it: lostp1}{p_end} {synopt :{opt case0(#)}}Number of cases among {it: lostp0}{p_end} {synoptline} {title:Description} {pstd} Command {helpb biassurv}, which is one of the command among the package {helpb biasepi}, performs {it:bias analysis} for survival analysis.{p_end} {pstd} Combining the existing Stata commands for probalistic distributions, {helpb biascon} is able to perform {it: probalistic bias analysis} {title:Options} {phang} {opt lostp1} Number of person who were lost follow-up among the exposed. {phang} {opt lostp1} Number of person who were lost follow-up among the unexposed. {phang} {opt avet1} Follow-up time for the {it: lostp1} is in relative to the average follow-up time among the observed-exposed populaton. If avet1=1, it means the follow-up for {it: lostp1} on average equals to the average follow-up time among the observed-exposed populaton. {phang} {opt avet0} Follow-up time for the {it: lostp0} is in relative to the average follow-up time among the observed-exposed populaton. If avet0=1, it means the follow-up for {it: lostp1} on average equals to the average follow-up time among the observed-unexposed populaton. {phang} {opt ftime1} Assumed follow-up time for {it: lostp1}, which will overwrite {it: avet1}. {phang} {opt ftime0} Assumed follow-up time for {it: lostp0}, which will overwrite {it: avet0}. {phang} {opt aver1} Incidence Rate for the {it: lostp1} is in relative to the average incidence rate among the observed-exposed populaton. If aver1=1, it means the incidence rate for {it: lostp1} equals to the incidence rate among the observed-exposed populaton. {phang} {opt aver0} Incidence Rate for the {it: lostp0} is in relative to the average incidence rate among the observed-unexposed populaton. If aver0=1, it means the incidence rate for {it: lostp1} equals to the incidence rate among the observed-exposed populaton. {phang} {opt rate1} Assumed incidence rate for {it: lostp1}, which will overwrite {it: aver1}. {phang} {opt rate0} Assumed incidence rate for {it: lostp0}, which will overwrite {it: aver0}. {phang} {opt case1} Number of cases among {it: lostp1} {phang} {opt case0} Number of cases among {it: lostp0} {title:Examples} {pstd} {title:More examples} click on {browse "http://medical-statistics.dk/MSDS/epi/bias/bias.html":her} {title:References} {phang}Lash, Timothy L., Fox, Matthew P., Fink, Aliza K. 2009.{p_end} {phang}Applying Quantitative Bias Analysis to Epidemiologic Data {p_end} {phang}{browse "https://sites.google.com/site/biasanalysis/": The online resource for the reference textbook.} {title:Author} {pstd} Chunsen Wu, the University of Southern Denmark; Odense University Hospital, Denmark{break} {browse cwu@health.sdu.dk}{break} {browse chunsen.wu@rsyd.dk} {title:Also see} {p 7 14 2} Help: {helpb biasepi}, {helpb biasselect}, {helpb biascon}, {helpb biasmis}, {helpb biassurv}, {helpb biastab2} {p_end} {marker results}{...} {title:Stored results} {pstd} {cmd:biassurv} and {cmd:biassurvi} store the following in {cmd:r()}: {synoptset 10 tabbed}{...} {p2col 5 20 24 2: Matrices}{p_end} {synopt:{cmd:r(O)}}Results among the observed population{p_end} {synopt:{cmd:r(C)}}Results among the whole population combining both the observed population and the lost follow-up{p_end} {synopt:{cmd:r(L)}}Results among the lost follow-up{p_end}