Reading...
Play button
Play button
Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
22 Cards in this Set
- Front
- Back
|
assumptions of chi-sq
|
random sample
more than 5 obs in each cell independence |
|
|
HO of chi-sq
|
independence
|
|
|
DV and IV of chi-sq
|
categorical
|
|
|
# of IV of chi-sq
|
0
|
|
|
assumptions of fisher's
|
random samples
small cell counts <5 obs are independent |
|
|
DV and IV of fisher's
|
categorical
|
|
|
# IV variable
|
1
|
|
|
It is a nonparametric test and appropriate to use when the data are right censored (technically, the censoring must be non-informative).
|
log rank
|
|
|
method for investigating the effect of several variables upon the time a specified event takes to happen.
|
cox regression
|
|
|
analyzing linear and non-linear effects of continuous and categorical predictor variables on a discrete or continuous dependent variable
|
glm
|
|
|
uses censored data
|
cox regression
|
|
|
assumptions of GLMM
|
fixed effect, random effect, and errors are iid (independent identically distributed)
|
|
|
adv of glmm
|
no prob if cells are missing
better power |
|
|
repeated measure design but # of time points and times may vary from subject to subject
|
longitudinal data analysis
|
|
|
primary interest is rate of change between treatments
|
longitudianl data analysis
|
|
|
HO: b1=b2
|
longitudianl
|
|
|
a graph which gives an estimate of the proportion of group of patients that will still be alive at diff times during study
|
kaplan meier curve
|
|
|
parameter of interest is the time from a specifeid starting point to occurrence of some event or endpoint
|
survival
|
|
|
institaneous failure rate/condition mortality rate: second key function from survival analysis
|
hazard funtion
|
|
|
fills in data analytical gap caused by censored data and patients who are followed for different periods of time
|
cox regression
|
|
|
adv of cox regression
|
adjust for covariates
include censored data analyze hazard ratios |
|
|
Each individual has multiple observations
The intervals between observations are approximately the same for each individual |
longitudinal
|
