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1. Tentang data longitudinal ( packagenya foreign) 519.5 teg m2. Regresi cox untuk data berulang 519.53 !ul r3. "#m inyer$al cenored failure time data 519.53 ana m%. &odel marginal untuk data longitudinal 519.5 bea m

'ft1. ' ayesian emiparametric '*T &odel for +nter$al,-ensored ata2. &odelling accelerated failure time /it# a iric#let process3. emiparametric estimation of an accelerated failure time model /it# time,dependent co$ariates%. 'ccelerated failure time models for counting processes5. &aximum 0ikeli#ood stimation for +nter$al,-ensored ata sing a eibull,ased 'ccelerated*ailure Time &odel. ' 4onproportional a!ards eibull 'ccelerated *ailure Time Regression &odel6. ' T/o,ample -omparison for &ultiple 7rdered $ent ata8. oft/are reliability assessment using accelerated testing met#ods9. emiparametric 'dditi$e 'ccelerated 0ife &odels1. t#e accelerated failure time model for current status and inter$al censored data

11. '--0R'T 0+* TT+4: &70 +0+4: +T 7;,-7;TR'4*7R&'T+7412. Rank,basedi nferencef or t#e acceleratedf ailuret ime model

13. Fast accelerated failure time modeling forcase-cohort data (2013)14. Using Frailties in the Accelerated Failure Time Model

15. Estimating Marginal Effects in Accelerated FailureTime Models for Serial Sojourn Times AmongRepeated Events

16. Accelerated Rates Regression Models forRecurrent Failure Time Data

!m1.Proportional hazards models with discrete frailty2.Semiparametric maximum likelihood estimation in Cox proportionalhazards model with covariate measurement errors".A R##RT$#%A& 'A(ARD M#DE& )$T' T$ME*DEE%DE%TARAMETERS A%D +#,AR$ATES

4.Bayesian Analysis of Proortional !a"ard#odels

A $ei%ull #odel for &eendent 'ensoring

Dari task view R

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1. im !!" &u Tian and Ro-ert Ti-s!irani /010 2Adaptive inde3 models formar4er*-ased ris4 stratification2

Tec! Report availa-le at !ttp77888*stat.stanford.edu79ti-s7A$M.R Ti-s!irani and : Efron re*validation and inference in microarra;s Statist.Appl. T!ese data 8ere pu-lis!ed in t!e follo8ing 8!ere t!e; 8ereanal;?ed -; non*aster met!ods.&ens4i R.9E. and Service .9M. 1@=/. T!e statistical anal;sis of populationgro8t! rates calculated from sc!edules of survivors!ip and fecunidit;. Ecolog;6" 655*66/.:eyer< -. =.< agenius< .< and #a/< R. :. (26) 'ster &odels for 0ife istory 'nalysis.iometrika 9% %15>%2.#a/< R. :.< :eyer< -. =.< agenius< .< angelbroek< . .< and tterson< =. R. (26) nifying0ife istory 'nalysis for +nference of *itness and population gro/t#. 'merican 4aturalist 16235>%6. (e,paperhttp://www.journals.uchicago.edu/doi/full/10.1086/588063?

T!ese data !ave -een previousl; anal;?ed -; non*aster met!ods in t!e follo8ing.

Etterson .9R. /00B. Evolutionar; potential of +!amaecrista fasciculata inrelation to climatec!ange. $. +linal patterns of selection along an environmental gradient in t!egreat plains. Evolution5= 1BB6*1B5=.Etterson .9R. and S!a8 R.9

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6 "//.%eal R. M. /00". Slice sampling 8it! Discussion. T!e Annals of Statistics "1C05 * C6C.omGre4 A. and &esaffre E. /00C. :a;esian accelerated failure time model 8it!multivariate dou-l;*interval*censored data and fle3i-le distri-utionalassumptions. To appear in ournal of t!e

American Statistical Association.omGre4 A. &esaffre E. and &egrand +. /00C. :aseline and treatment effect!eterogeneit; for survival times -et8een centers using a random effectsaccelerated failure time model 8it! fle3i-le error distri-ution. To appear inStatistics in Medicine.

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continuous varia-les. )ile; +!ic!ester .Sasieni 1@@". Ma3imum)eig!ted artial &i4eli!ood Estimators for t!e +o3Model. ournal oft!e American Statistical Association == 1BB*15/.Sc!emper M 1@@/. +o3 anal;sis of survival data 8it! non*proportional !a?ardfunctions. T!e

Statistician B1 B55*B65.Sc!emper M )a4ounig S and 'ein?e < /00@. T!e estimation of average !a?ardratios -; 8eig!ted +o3 regression. Statistics in Medicine /= /BC"*/B=@.Ku R and #LHuigle; /000. Estimating average regression effect under non*proportional !a?ards.:iostatistics 1 B/"*B"@.

=. +o3ro-ust **> :ednars4i T. 1@@". Ro-ust estimation in +o3Ls regressionmodel. Scandinavian ournal of Statistics.,ol. /0 /1"//5.:ednars4i T. 1@=@. #n sensitivit; of +o3Ls estimator. Statistics and Decisions. C/15//=.

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im allgemeinen FcF,tic#probenfall. E in &edi!in und iologie 18(1)< 12>19.Torsten ot#orn (21)< 7n exact rank tests in R. R 4e/s 1(1)< 11>12.-yrus R. &e#ta @ 4itin R. "atel (21)< tat;act,5 for indo/s. &anual< -ytel oft/are-ooperation

omGre4 A. &esaffre E. and 'ilton . F. /005. Accelerated failure time modelfor ar-itraril;censored data 8it! smoot!ed error distri-ution. ournal of +omputational and