| Title: | Data sets from Klein and Moeschberger (1997), Survival Analysis |
|---|---|
| Description: | Data sets and functions for Klein and Moeschberger (1997), "Survival Analysis, Techniques for Censored and Truncated Data", Springer. |
| Authors: | Original by Klein and Moeschberger, modifications by Jun Yan <[email protected]> |
| Maintainer: | Jun Yan <[email protected]> |
| License: | GPL (>= 3) |
| Version: | 0.1-5 |
| Built: | 2024-11-17 04:39:38 UTC |
| Source: | https://github.com/cran/KMsurv |
The aids data frame has 295 rows and 3 columns.
This data frame contains the following columns:
Infection time for AIDS, years
Induction time for AIDS, years
Indicator of adult (1=adult, 0=child)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Lagakos et al. Biometrika 68 (1981): 515-523.
data(aids)data(aids)
The alloauto data frame has 90 rows and 5 columns.
This data frame contains the following columns:
Time to death or relapse, months
Type of transplant (1=allogeneic, 2=autologous)
Leukemia-free survival indicator (0=alive without relapse, 1=dead or relapse)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Kardaun Stat. Nederlandica 37 (1983), 103-126.
data(alloauto)data(alloauto)
The allograft data frame has 34 rows and 4 columns.
This data frame contains the following columns:
Patient
Time to graft rejection, days
Indicator of graft rejection (1=yes, 0=no)
Good HLA skin match (1=yes, 0=no)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Batchelor and Hackett Lancet 2 (1970): 581-583.
data(allograft)data(allograft)
The azt data frame has 45 rows and 4 columns.
This data frame contains the following columns:
Patient number
Age at entry into AZT study, months
Age at death or censoring time, months
Death indicator (1=dead, 0=alive)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.
data(azt)data(azt)
The baboon data frame has 25 rows and 2 columns.
This data frame contains the following columns:
Date (day/month/year)
Descent time (military time)
Indicator of observed or not (1=observed, 0=not observed)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.
data(baboon)data(baboon)
The bcdeter data frame has 92 rows and 3 columns.
This data frame contains the following columns:
Lower limit of interval, months
Upper limit of interval, months
Treatment regimen (1=radiotherapy only, 2=radiotherapy + chemotherapy)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Beadle et al Cancer 54 (1984):2911-2918.
data(bcdeter)data(bcdeter)
The bfeed data frame has 927 rows and 10 columns.
This data frame contains the following columns:
Duration of breast feeding, weeks
Indicator of completed breast feeding (1=yes, 0=no)
Race of mother (1=white, 2=black, 3=other)
Mother in poverty (1=yes, 0=no)
Mother smoked at birth of child (1=yes, 0=no)
Mother used alcohol at birth of child (1=yes, 0=no)
Age of mother at birth of child
Year of birth
Education level of mother (years of school)
Prenatal care after 3rd month (1=yes, 0=no)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. National Longitudinal Survey of Youth Handbook The Ohio State University, 1995.
data(bfeed)data(bfeed)
The bmt data frame has 137 rows and 22 columns.
This data frame contains the following columns:
Disease Group 1-ALL, 2-AML Low Risk, 3-AML High Risk
Time To Death Or On Study Time
Disease Free Survival Time (Time To Relapse, Death Or End Of Study)
Death Indicator 1-Dead 0-Alive
Relapse Indicator 1-Relapsed, 0-Disease Free
Disease Free Survival Indicator 1-Dead Or Relapsed, 0-Alive Disease Free)
Time To Acute Graft-Versus-Host Disease
Acute GVHD Indicator 1-Developed Acute GVHD 0-Never Developed Acute GVHD)
Time To Chronic Graft-Versus-Host Disease
Chronic GVHD Indicator 1-Developed Chronic GVHD 0-Never Developed Chronic GVHD
Time To Chronic Graft-Versus-Host Disease
Platelet Recovery Indicator 1-Platelets Returned To Normal, 0-Platelets Never Returned to Normal
Patient Age In Years
Donor Age In Years
Patient Sex: 1-Male, 0-Female
Donor Sex: 1-Male, 0-Female
Patient CMV Status: 1-CMV Positive, 0-CMV Negative
Donor CMV Status: 1-CMV Positive, 0-CMV Negative
Waiting Time to Transplant In Days
FAB: 1-FAB Grade 4 Or 5 and AML, 0-Otherwise
Hospital: 1-The Ohio State University, 2-Alferd , 3-St. Vincent, 4-Hahnemann
MTX Used as a Graft-Versus-Host- Prophylactic: 1-Yes 0-No
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.
data(bmt)data(bmt)
The bnct data frame has 34 rows and 3 columns.
This data frame contains the following columns:
Treatment (1=untreated, 2=radiated, 3=radiated + BPA)
Death time or on-study time, days
Death indicator (1=dead, 0=alive)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.
data(bnct)data(bnct)
The btrial data frame has 45 rows and 3 columns.
This data frame contains the following columns:
Time to death or on-study time, months
Death indicator (0=alive, 1=dead)
Immunohistochemical response (1=negative, 2=positive)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Sedmak el al. Modern Pathology 2 (1989): 516-520.
data(btrial)data(btrial)
The burn data frame has 154 rows and 17 columns.
This data frame contains the following columns:
Observation number
Treatment: 0-routine bathing 1-Body cleansing
Gender (0=male 1=female)
Race: 0=nonwhite 1=white
Percentage of total surface area burned
Burn site indicator: head 1=yes, 0=no
Burn site indicator: buttock 1=yes, 0=no
Burn site indicator: trunk 1=yes, 0=no
Burn site indicator: upper leg 1=yes, 0=no
Burn site indicator: lower leg 1=yes, 0=no
Burn site indicator: respiratory tract 1=yes, 0=no
Type of burn: 1=chemical, 2=scald, 3=electric, 4=flame
Time to excision or on study time
Excision indicator: 1=yes 0=no
Time to prophylactic antibiotic treatment or on study time
Prophylactic antibiotic treatment: 1=yes 0=no
Time to straphylocous aureaus infection or on study time
Straphylocous aureaus infection: 1=yes 0=no
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Ichida et al. Stat. Med. 12 (1993): 301-310.
data(burn)data(burn)
The channing data frame has 462 rows and 6 columns.
This data frame contains the following columns:
Observation number
Death status (1=dead, 0=alive)
Age of entry into retirement home, months
Age of death or left retirement home, months
Difference between the above two ages, months
Gender (1=male, 2=female)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Hyde Biometrika (1977), 225-230.
data(channing)data(channing)
The drug6mp data frame has 21 rows and 5 columns.
This data frame contains the following columns:
pair number
Remission status at randomization (1=partial, 2=complete)
Time to relapse for placebo patients, months
Time to relapse for 6-MP patients, months
Relapse indicator (0=censored, 1=relapse) for 6-MP patients
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Freireich et al. (1963) Blood 21: 699-716.
data(drug6mp)data(drug6mp)
The drughiv data frame has 34 rows and 3 columns.
This data frame contains the following columns:
Drug combination (1=AZT + zalcitabine, 2=AZT + zalcitabine + saquinavir)
Time after drug administration to CD4 count at a specified level, days
Indicator of CD4 count reaching specified level (1=yes, 0=no)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.
data(drughiv)data(drughiv)
The hodg data frame has 43 rows and 6 columns.
This data frame contains the following columns:
Graft type (1=allogenic, 2=autologous)
Disease type (1=Non Hodgkin lymphoma, 2=Hodgkins disease)
Time to death or relapse, days
Death/relapse indicator (0=alive, 1=dead)
Karnofsky score
Waiting time to transplant in months
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Avalos et al. Bone Marrow Transplantation 13(1993):133-138.
data(hodg)data(hodg)
The kidney data frame has 119 rows and 3 columns.
This data frame contains the following columns:
Time to infection, months
Infection indicator (0=no, 1=yes)
Catheter placement (1=surgically, 2=percutaneously)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Nahman el at. J. Am Soc. Nephrology 3 (1992): 103-107.
data(kidney)data(kidney)
Data on 38 individuals using a kidney dialysis machine See Problem 13.5.2
data(kidrecurr)data(kidrecurr)
A data frame with 38 observations on the following 10 variables.
Patient number
Time one of recurrence of infection, days
Indicator infection one (1=yes, 0=no)
Time two of recurrence of infection, days
Indicator infection two (1=yes, 0=no)
Patient's age
Patient's gender
Disease type GN (1=yes, 0=no)
Disease type AN (1=yes, 0=no)
Disease type PKD (1=yes, 0=no)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. McGilchrist and Aisbett 47 (1991):461-466.
data(kidrecurr)data(kidrecurr)
The kidtran data frame has 863 rows and 6 columns.
This data frame contains the following columns:
Observation number
Time to death or on-study time
Death indicator (0=alive, 1=dead)
1=male, 2=female
1=white, 2=black
Age in years
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.
data(kidtran)data(kidtran)
The larynx data frame has 90 rows and 5 columns.
This data frame contains the following columns:
Stage of disease (1=stage 1, 2=stage2, 3=stage 3, 4=stage 4)
Time to death or on-study time, months
Age at diagnosis of larynx cancer
Year of diagnosis of larynx cancer
Death indicator (0=alive, 1=dead)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Kardaun Stat. Nederlandica 37 (1983), 103-126.
data(larynx)data(larynx)
Create cohort life table.
lifetab(tis, ninit, nlost, nevent)lifetab(tis, ninit, nlost, nevent)
tis |
a vector of end points of time intervals, whose length is 1 greater than nlost and nevent. |
ninit |
the number of subjects initially entering the study. |
nlost |
a vector of the number of individuals lost follow or withdrawn alive for whatever reason. |
nevent |
a vector of the number of individuals who experienced the event |
A data.frame with the following columns:
nsubs |
the number of subject entering the intervals who have not experienced the event. |
nlost |
the number of individuals lost follow or withdrawn alive for whatever reason. |
nrisk |
the estimated number of individuals at risk of experiencing the event. |
nevent |
the number of individuals who experienced the event. |
surv |
the estimated survival function at the start of the intervals. |
pdf |
the estimated probability density function at the midpoint of the intervals. |
hazard |
the estimated hazard rate at the midpoint of the intervals. |
se.surv |
the estimated standard deviation of survival at the beginning of the intervals. |
se.pdf |
the estimated standard deviation of the prbability density function at the midpoint of the intervals. |
se.hazard |
the estimated standard deviation of the hazard function at the midpoint of the intervals |
The row.names are the intervals.
Jun Yan [email protected]
tis <- c(0, 2, 3, 5, 7, 11, 17, 25, 37, 53, NA) nsubs <- c(927, 848, 774, 649, 565, 449, 296, 186, 112, 27) nlost <- c(2, 3, 6, 9, 7, 5, 3, rep(0, 3)) nevent <- c(77, 71, 119, 75, 109, 148, 107, 74, 85, 27) lifetab(tis, nsubs[1], nlost, nevent)tis <- c(0, 2, 3, 5, 7, 11, 17, 25, 37, 53, NA) nsubs <- c(927, 848, 774, 649, 565, 449, 296, 186, 112, 27) nlost <- c(2, 3, 6, 9, 7, 5, 3, rep(0, 3)) nevent <- c(77, 71, 119, 75, 109, 148, 107, 74, 85, 27) lifetab(tis, nsubs[1], nlost, nevent)
The lung data frame has 25 rows and 4 columns.
This data frame contains the following columns:
Days to death
Death indicator (1=dead), complete follow-up on all patients
Days to 3/31/80 or death (interim analysis)
Death indicator as of 3/31/80 (1=dead, 0=alive)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.
data(lung)data(lung)
The pneumon data frame has 3470 rows and 15 columns.
This data frame contains the following columns:
Age child had pneumonia, months
Indicator for hospitalization for pneumonia (1=yes, 0=no)
Age of the mother, years
Urban environment for mother (1=yes, 0=no)
Alcohol use by mother during pregnancy (1=yes, 0=no)
Cigarette use by mother during pregnancy (1=yes, 0=no)
Region of the coutry (1=northeast, 2=north central, 3=south, 4=west)
Mother at poverty level (1=yes, 0=no)
Normal birthweight (>5.5 lbs.) (1=yes, 0=no)
Race of the mother (1=white, 2=black, 3=other)
Education of the mother, years of school
Number of siblings of the child
Month the child was weaned
Month the child on solid food
Age child in the hospital for pneumonia, months
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. National Longitudinal Survey of Youth Handbook The Ohio State University, 1995.
data(pneumon)data(pneumon)
The psych data frame has 927 rows and 10 columns.
This data frame contains the following columns:
Patient sex (1=male, 2=female)
Patient age
Time to death or on-study time
Death indicator (0=alive, 1=dead)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Woolsen Biometrics 37 (1981): 687-696.
data(psych)data(psych)
The rats data frame has 50 rows and 4 columns.
This data frame contains the following columns:
Time to tumor development
Indicator of tumor development (1=yes, 0=no)
Treatment (1=treated with drug, 0=given placebo)
Litter
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.
data(rats)data(rats)
The std data frame has 877 rows and 3 columns.
This data frame contains the following columns:
Observation number
Race (W=white, B=black)
Marital status (D=divorced / separated, M=married, S=single)
AGE
Years of schooling
Initial infection (1= gonorrhea, 2=chlamydia, 3=both)
Number of partners
Oral sex within 12 months (1=yes, 0=no)
Oral sex within 30 days (1=yes, 0=no)
Rectal sex within 12 months (1=yes, 0=no)
Rectal sex within 30 days (1=yes, 0=no)
Presence of abdominal pain (1=yes, 0=no)
Sign of discharge (1=yes, 0=no)
Sign of dysuria (1=yes, 0=no)
Condom use (1=always, 2=sometime, 3=never)
Sign of itch (1=yes, 0=no)
Sign of lesion (1=yes, 0=no)
Sign of rash (1=yes, 0=no)
Sign of lymph (1=yes, 0=no)
Involvement vagina at exam (1=yes, 0=no)
Discharge at exam (1=yes, 0=no)
Abnormal node at exam (1=yes, 0=no)
Reinfection (1=yes, 0=no)
Time to reinfection
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.
data(std)data(std)
The stddiag data frame has 25 rows and 2 columns.
This data frame contains the following columns:
Months from 1/93 to encounter
Months until STD diagnosed in the clinic
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.
data(stddiag)data(stddiag)
The tongue data frame has 80 rows and 3 columns.
This data frame contains the following columns:
Tumor DNA profile (1=Aneuploid Tumor, 2=Diploid Tumor)
Time to death or on-study time, weeks
Death indicator (0=alive, 1=dead)
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Sickle-Santanello et al. Cytometry 9 (1988): 594-599.
data(tongue)data(tongue)
The twins data frame has 24 rows and 3 columns.
This data frame contains the following columns:
Twin number
Age of twin's death from CHD, months
Death (male twin) from CHD indicator (1=dead from CHD, 0=alive or other cause of death)
1=male, 2=female
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.
data(twins)data(twins)