Posted: December 20th, 2014

"eks2014e" from the dataset "liver"

“eks2014e” from the dataset “liver”

I need you to answer questions 1-6 in the document “eks2014e” from the dataset “liver”. And i want these question to be divided in almost 10 pages. It is really

important to me that the writer tells me what he is doing in the analysis etc.
Important issues:
you have to use SPSS for answering this paper and to explain the things you do with it.
following is my curriculum and only these topics can be included in the paper and nothing else!

•    Undergraduate Curriculum (logistic regression)
•    stratified analysis
•    Logistic regression
•    Kaplan – Meier log rank
•    Cox – regression (interpretation of parameters etc . , Model checking)
•    DAG
•    General Linear Model (interpretation , model checking)
•    Scale Validation ( Item bias , validity )( Differential item functioning and Differential item effect)

Extra note: I have read the document and I think the variable tment: treatment (0: placebo, 1: UDC) is the dependent but i am not sure.

References should be made to the book: Fayers, P.M. & Machin, D. (2007). Quality of Life. Assessment, Analysis and Interpretation

Exam:

A multi-center, randomized clinical trial conducted in six European hospitals. Between January 1,
1983 and January 1, 1987, 349 patients with liver disease were randomized to either treatment with
an experimental drug UDC (176 patients) or placebo (173 patients).

The purpose of the trial was to study the effect of treatment on the survival time. However, during
the course of the trial an increased use of liver transplantation for patients with this disease made
the investigators redefine the main response variable to be time to “failure of medical treatment”
defined as either death or liver transplantation.

Patients were followed from randomization until treatment failure, drop-out or end of follow-up
January 1, 1989. During the follow-up period 61 patients died, another 29 were transplanted and 4
patients were lost to follow-up before January 1, 1989. At the time of entry of each patient a number
of clinical, biochemical and histological variables, including serum bilirubin, serum albumin, sex,
age were recorded.

Data set: liver.sav:

• ptno: patient identification number
• unit: hospital (1: DK1, 2: ENG1, 3: DEN2, 4: ESP1, 5: D1, 6: F1)
• tment: treatment (0: placebo, 1: UDC)
• sex: (1: male, 0: female)
• age: (years)
• stage: histological stage (1, 2, 3, 4)
• gibleed: previous gastrointestinal bleeding (1: yes, 0: no)
• crea: creatinine (umol/L)
• alb: albumin (g/L)
• bili: bilirubin (umol/L)
• alkph: alkaline phosphatase (IU/L)
• asptr: aspartate transaminase (IU/L)
• weight: body weight (kg)
• days: observation time (days)
• status: status at exit (0: censored, 1: liver transplantation, 2 : dead)

Specific assignments

1. Construct a Directed Acyclic Graph (DAG) based on the data. The time ordering is decided
by you and needs no justification. The chosen ordering of the variables must be clear from
your presentation. For associations between variables prior to time to failure, only the final
models need to be reported.
2. Compare the time to failure distribution between the two treatment groups
3. Study how the treatment effect is affected by adjustment for sex, age, albumin and
bilirubin. Interactions and non-linearities must be discussed. In particular, the non-linearity
of bilirubin should be studied using different approaches which should be compared.
Subsequently, the sex*bilirubin interaction should be described separately
4. Discuss the differences between the treatment effects estimated in the two previous
questions in the light of the fact that the study was randomized. This includes discussing
whether the randomization was successful.
5. The study was a multi-center study. Discuss how to account for a possible clustering effect
of hospital.

The end-point “failure of medical treatment” is composed of “dead without liver transplantation”
and “liver transplantation”.

6. Analyze how treatment affects the risk of death in the presence of the competing risk “liver
transplantation”.

END

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